Medical image fusion technology is crucial for improving the detection accuracy and treatment efficiency of diseases,but existing fusion methods have problems such as blurred texture details,low contrast,and inability...Medical image fusion technology is crucial for improving the detection accuracy and treatment efficiency of diseases,but existing fusion methods have problems such as blurred texture details,low contrast,and inability to fully extract fused image information.Therefore,a multimodal medical image fusion method based on mask optimization and parallel attention mechanism was proposed to address the aforementioned issues.Firstly,it converted the entire image into a binary mask,and constructed a contour feature map to maximize the contour feature information of the image and a triple path network for image texture detail feature extraction and optimization.Secondly,a contrast enhancement module and a detail preservation module were proposed to enhance the overall brightness and texture details of the image.Afterwards,a parallel attention mechanism was constructed using channel features and spatial feature changes to fuse images and enhance the salient information of the fused images.Finally,a decoupling network composed of residual networks was set up to optimize the information between the fused image and the source image so as to reduce information loss in the fused image.Compared with nine high-level methods proposed in recent years,the seven objective evaluation indicators of our method have improved by 6%−31%,indicating that this method can obtain fusion results with clearer texture details,higher contrast,and smaller pixel differences between the fused image and the source image.It is superior to other comparison algorithms in both subjective and objective indicators.展开更多
Purpose:Although traditional craniotomy(TC)surgery has failed to show benefits for the functional outcome of intracerebral hemorrhage(ICH).However,a minimally invasive hematoma removal plan to avoid white matter fiber...Purpose:Although traditional craniotomy(TC)surgery has failed to show benefits for the functional outcome of intracerebral hemorrhage(ICH).However,a minimally invasive hematoma removal plan to avoid white matter fiber damage may be a safer and more feasible surgical approach,which may improve the prognosis of ICH.We conducted a historical cohort study on the use of multimodal image fusion-assisted neuroendoscopic surgery(MINS)for the treatment of ICH,and compared its safety and effectiveness with traditional methods.Methods:This is a historical cohort study involving 241 patients with cerebral hemorrhage.Divided into MINS group and TC group based on surgical methods.Multimodal images(CT skull,CT angiography,and white matter fiber of MRI diffusion-tensor imaging)were fused into 3 dimensional images for preoperative planning and intraoperative guidance of endoscopic hematoma removal in the MINS group.Clinical features,operative efficiency,perioperative complications,and prognoses between 2 groups were compared.Normally distributed data were analyzed usingt-test of 2 independent samples,Nonnormally distributed data were compared using the Kruskal-Wallis test.Meanwhile categorical data were analyzed via the Chi-square test or Fisher’s exact test.All statistical tests were two-sided,andp<0.05 was considered statistically significant.Results:A total of 42 patients with ICH were enrolled,who underwent TC surgery or MINS.Patients who underwent MINS had shorter operative time(p<0.001),less blood loss(p<0.001),better hematoma evacuation(p=0.003),and a shorter stay in the intensive care unit(p=0.002)than patients who underwent TC.Based on clinical characteristics and analysis of perioperative complications,there is no significant difference between the 2 surgical methods.Modified Rankin scale scores at 180 days were better in the MINS than in the TC group(p=0.014).Conclusions:Compared with TC for the treatment of ICH,MINS is safer and more efficient in cleaning ICH,which improved the prognosis of the patients.In the future,a larger sample size clinical trial will be needed to evaluate its efficacy.展开更多
With rapid urbanization,fires pose significant challenges in urban governance.Traditional fire detection methods often struggle to detect smoke in complex urban scenes due to environmental interferences and variations...With rapid urbanization,fires pose significant challenges in urban governance.Traditional fire detection methods often struggle to detect smoke in complex urban scenes due to environmental interferences and variations in viewing angles.This study proposes a novel multimodal smoke detection method that fuses infrared and visible imagery using a transformer-based deep learning model.By capturing both thermal and visual cues,our approach significantly enhances the accuracy and robustness of smoke detection in business parks scenes.We first established a dual-view dataset comprising infrared and visible light videos,implemented an innovative image feature fusion strategy,and designed a deep learning model based on the transformer architecture and attention mechanism for smoke classification.Experimental results demonstrate that our method outperforms existing methods,under the condition of multi-view input,it achieves an accuracy rate of 90.88%,precision rate of 98.38%,recall rate of 92.41%and false positive and false negative rates both below 5%,underlining the effectiveness of the proposed multimodal and multi-view fusion approach.The attention mechanism plays a crucial role in improving detection performance,particularly in identifying subtle smoke features.展开更多
Objective: To construct brain tumors and their surrounding anatomical structures through the method of registration, fusion and, three-dimensional(3D) reconstruction based on multimodal image data and to provide the v...Objective: To construct brain tumors and their surrounding anatomical structures through the method of registration, fusion and, three-dimensional(3D) reconstruction based on multimodal image data and to provide the visual information of tumor, skull,brain, and vessels for preoperative evaluation, surgical planning, and function protection.Methods: The image data of computed tomography(CT) and magnetic resonance imaging(MRI) were collected from fifteen patients with confirmed brain tumors.We reconstructed brain tumors and their surrounding anatomical structures using Neuro Tech software. Results: The whole 3D structures including tumor, brain surface, skull, and vessels were successfully reconstructed based on the CT and MRI images. Reconstruction image clearly shows the tumor size, location, shape, and the anatomical relationship of tumor and surrounding structures. We can hide any reconstructed images such as skull,brain tissue, blood vessles, or tumors. We also can adjust the color of reconstructed images and rotate images to observe the structures from any direction. Reconstruction of brain and skull can be semi transparent to display the deep structure; reconstruction of the structures can be axial, coronal, and sagittal cutting to show relationship among tumor and surrounding structures. The reconstructed 3D structures clearly depicted the tumor features, such as size, location, and shape, and provided visual information of the spatial relationship among its surrounding structures. Conclusions: The method of registration, fusion, and 3D reconstruction based on multimodal images to provide the visual information is feasible and practical. The reconstructed 3D structures are useful for preoperative assessment, incision design,the choice of surgical approach, tumor resection, and functional protection.展开更多
In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Poste...In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Posteriori(MAP)approach by considering a trivariate statistical model for the local neighboring of 2D-SMCWT coefficients.For the approx imation coefficients,a new fusion rule based on the Principal Component Analysis(PCA)is applied.We conduct several experiments using three different groups of multimodal medical images to evaluate the performance of the proposed method.The obt ained results prove the superiority of the proposed method over the state of the art fusion methods in terms of visual quality and several commonly used metrics.Robustness of the proposed method is further tested against different types of noise.The plots of fusion met rics establish the accuracy of the proposed fusion method.展开更多
Pamiparib is a potent and selective oral poly(adenosine diphosphate(ADP)-ribose)-polymerase(PARP)1/2inhibitor(PARPi).Pamiparib has good bioavailability and shows greater cytotoxic potency and similar DNA-trapping capa...Pamiparib is a potent and selective oral poly(adenosine diphosphate(ADP)-ribose)-polymerase(PARP)1/2inhibitor(PARPi).Pamiparib has good bioavailability and shows greater cytotoxic potency and similar DNA-trapping capacity compared to olaparib.It is not affected by adenosine triphosphate(ATP)-binding cassette transporters.展开更多
The phenotypes of the adenine-to-guanine transition at position 3243 of mitochondrial DNA(m.3243A>G)are highly variable,with different symptoms observed in different patients.These include mitochondrial encephalomy...The phenotypes of the adenine-to-guanine transition at position 3243 of mitochondrial DNA(m.3243A>G)are highly variable,with different symptoms observed in different patients.These include mitochondrial encephalomyopathy,lactic acidosis,and stroke-like episodes(MELAS);maternally inherited diabetes and deafness syndrome(MIDD);other syndromic conditions;or non-syndromic mitochondrial disorders.Renal involvement associated with this mutation generally manifests as subnephrotic proteinuria,progressive deterioration of kidney function,and increased morbidity.The retinopathies linked to the m.3243A>G mutation have heterogeneous presentations,characterized by variable degrees of retinal pigment epithelium(RPE)atrophy and hyperpigmentation at the posterior pole.As a severe phenotype of the m.3243A>G mutation,MELAS combined with focal and segmental glomerulosclerosis(FSGS)is rare.We herein firstly reported in detail the ophthalmic manifestations of a patient with this condition.Additionally,we reviewed the literature on fundus,ophthalmic electrophysiology,and optical coherence tomography(OCT)findings related to the m.3243A>G mutation.展开更多
Osteosarcoma is the most common primary bone tumor with high malignancy.It is particularly necessary to achieve rapid and accurate diagnosis in its intraoperative examination and early diagnosis.Accordingly,the multim...Osteosarcoma is the most common primary bone tumor with high malignancy.It is particularly necessary to achieve rapid and accurate diagnosis in its intraoperative examination and early diagnosis.Accordingly,the multimodal microscopic imaging diagnosis system constructed by bright field,spontaneous fluorescence and polarized light microscopic imaging was used to study the pathological mechanism of osteosarcoma from the tissue microenvironment level and achieve rapid and accurate diagnosis.First,the multimodal microscopic images of normal and osteosarcoma tissue slices were collected to characterize the overall morphology of the tissue microenvironment of the samples,the arrangement structure of collagen fibers and the content and distribution of endogenous fluorescent substances.Second,based on the correlation and complementarity of the feature information contained in the three single-mode images,combined with convolutional neural network(CNN)and image fusion methods,a multimodal intelligent diagnosis model was constructed to effectively improve the information utilization and diagnosis accuracy.The accuracy and true positivity of the multimodal diagnostic model were significantly improved to 0.8495 and 0.9412,respectively,compared to those of the single-modal models.Besides,the difference of tissue microenvironments before and after cancerization can be used as a basis for cancer diagnosis,and the information extraction and intelligent diagnosis of osteosarcoma tissue can be achieved by using multimodal microscopic imaging technology combined with deep learning,which significantly promoted the application of tissue microenvironment in pathological examination.This diagnostic system relies on its advantages of simple operation,high efficiency and accuracy and high cost-effectiveness,and has enormous clinical application potential and research significance.展开更多
BACKGROUND Congenital renal arteriovenous fistula(RAVF)is a clinically rare condition and frequently missed and misdiagnosed.Multimodal imaging techniques can pro-vide more detailed diagnostic information to help phys...BACKGROUND Congenital renal arteriovenous fistula(RAVF)is a clinically rare condition and frequently missed and misdiagnosed.Multimodal imaging techniques can pro-vide more detailed diagnostic information to help physicians more accurately diagnose and treat diseases.Combining imaging methods to diagnose RAVF has rarely been reported.CASE SUMMARY A 69-year-old female patient presented with gross hematuria that had persisted for 10 days.The patient underwent ultrasound examinations of the kidneys and renal blood vessels,enhanced computed tomography,three-dimensional com-puted tomography angiography,and digital subtraction angiography of the renal arteries.These revealed dilatation of the left renal vein and abnormal shunting between the left renal artery and vein.The patient was diagnosed with a left RAVF using combined multimodal imaging techniques.The patient was treated with left renal artery embolization immediately after renal arteriography.Hema-turia resolved following the left renal artery embolization without serious bleeding or other complications.The patient made a full recovery after one year of postoperative follow-up.CONCLUSION Multimodal imaging techniques complement each other when diagnosing RAVF,providing detailed diagnostic information that can aid in accurate diagnosis and treatment.In addition,this case reminds the sonographer to pay more attention to the color doppler flow imaging and blood flow spectrum when examining the kidney,so as to avoid misdiagnosis of renal cystic lesions as renal cysts and missed diagnosis of RAVF.展开更多
Objective To develop a multimodal imaging atlas of a rat brain-computer interface(BCI)that incorporates brain,arterial,bone tissue and a BCI device using mixed reality(MR)for three-dimensional(3D)visualization.Methods...Objective To develop a multimodal imaging atlas of a rat brain-computer interface(BCI)that incorporates brain,arterial,bone tissue and a BCI device using mixed reality(MR)for three-dimensional(3D)visualization.Methods An invasive BCI was implanted in the left visual cortex of 4-week-old Sprague–Dawley rats.Multimodal imaging techniques,including micro-CT and 9.0 T MRI,were used to acquire images of the rat cranial bone structure,vascular distribution,brain tissue functional zones,and BCI device before and after implantation.Using 3D-slicer software,the images were fused through spatial transformations,followed by image segmentation and 3D model reconstruction.The HoloLens platform was employed for MR visualization.Results This study constructed a multimodal imaging atlas for rats that included the skull,brain tissue,arterial tissue,and BCI device coupled with MR technology to create an interactive 3D anatomical model.Conclusions This multimodal 3D atlas provides an objective and stable reference for exploring complex relationships between brain tissue structure and function,enhancing the understanding of the operational principles of BCIs.This is the first multimodal 3D imaging atlas related to a BCI created using Sprague–Dawley rats.展开更多
BACKGROUND Rectal cancer is one of the common digestive system malignant tumors around the world.Its early diagnosis and staging are crucial for rectal cancer treatment and prognosis.In recent years,tumor markers have...BACKGROUND Rectal cancer is one of the common digestive system malignant tumors around the world.Its early diagnosis and staging are crucial for rectal cancer treatment and prognosis.In recent years,tumor markers have gradually received attention in early screening,treatment monitoring and prognostic evaluation of cancer,but their predictive role in rectal cancer staging and differentiation is still unclear.AIM To assess the prognostic value of tumor markers alpha-fetoprotein(AFP)cancer antigen 72-4(CA72-4),carbohydrate antigen 19-9(CA19-9),and carcinoembryonic antigen(CEA),alongside multimodal magnetic resonance imaging(MRI),for staging and differentiating rectal cancer in patients.METHODS This study retrospectively analyzed 167 patients with rectal cancer who were treated at our institution from January 2020 to December 2024.Each patient underwent serological testing and multimodal MRI for diagnosis.Histopathological examination after surgical resection or imaging based on follow-up was used as the gold standard.According to the T stage and differentiation degree,patients were divided into low stage group(T1-T2)and high stage group(T3-T4).In addition,they were divided into low-differentiation groups and high-differentiation groups according to their differentiation degree.We compared the accuracy,sensitivity and specificity of tumor marker levels and MRI in rectal cancer stage and differentiation.RESULTS The study's findings indicate that in the context of rectal cancer T staging,there is substantial concordance between MRI and clinicopathological assessments,with a Kappa coefficient of 0.789(P<0.001).Similarly,for various degrees of tumor differentiation,MRI and clinicopathological evaluations demonstrated substantial agreement,with a Kappa coefficient of 0.651(P<0.001).Notably,the concentrations of tumor markers CA19-9,CA72-4,CEA,and AFP were significantly elevated in the T3-T4 stage compared to the T1-T2 stage.Furthermore,these markers were significantly higher in the low-differentiation group compared to the high-differentiation group(P<0.05).The combined use of tumor markers and MRI for preoperative T staging of rectal cancer yielded a diagnostic sensitivity of 93.7%and a specificity of 94.6%,as evidenced by the receiver operating characteristic analysis,with an area under the curve of 0.947.For tumor differentiation,the diagnostic sensitivity and specificity were 93.6%and 97.1%,respectively,with an area under the curve of 0.978(95%confidence interval:0.946-1.000),surpassing the accuracy of individual detection methods.CONCLUSION The CA19-9,CA72-4,CEA and AFP tumor markers combined with multimodal MRI have high sensitivity and specificity in diagnosing rectal cancer stage and differentiation.Their diagnostic efficacy is significantly better than that of single tests,which can effectively improve the predictive ability of rectal cancer stage and differentiation,provide a more reliable diagnostic reference for clinical practice,and have important clinical significance.展开更多
Accurate diagnosis of tumors needs much detailed information. However, available single imaging modality cannot provide complete or comprehensive data. Nanomedicine is the application of nanotechnology to medicine, an...Accurate diagnosis of tumors needs much detailed information. However, available single imaging modality cannot provide complete or comprehensive data. Nanomedicine is the application of nanotechnology to medicine, and multimodality imaging based on nanoparticles has been receiving extensive attention. This new hybrid imaging technology could provide complementary information from different imaging modalities using only a single injection of contrast agent. In this review, we introduce recent developments in multifunctional nanoparticles and their biomedical applications to multimodal imaging and theragnosis as nanomedicine. Most of the reviewed studies are based on the intrinsic properties of nanoparticles and their application in clinical imaging technology. The imaging techniques include positron emission tomography, single-photon emission computed tomography, computerized tomography, magnetic resonance imaging, optical imaging, and ultrasound imaging.展开更多
AIM： To describe retinal findings of various imaging modalities in acute retinal ischemia. METHODS： Fluorescein angiography（FA）, spectral domain optical coherence tomography（SD-OCT）, OCTangiography（OCT-A） and ...AIM： To describe retinal findings of various imaging modalities in acute retinal ischemia. METHODS： Fluorescein angiography（FA）, spectral domain optical coherence tomography（SD-OCT）, OCTangiography（OCT-A） and fundus autofluorescence（FAF） images of 13 patients（mean age 64y, range 28-86y） with acute retinal ischemia were evaluated. Six suffered from branch arterial occlusion, 2 had a central retinal artery occlusion, 2 had a combined arteriovenous occlusions, 1 patient had a retrobulbar arterial compression by an orbital haemangioma and 2 patients showed an ocular ischemic syndrome.RESULTS： All patients showed increased reflectivity and thickening of the ischemic retinal tissue. In 10 out of 13 patients SD-OCT revealed an additional highly reflective band located within or above the outer plexiform layer. Morphological characteristics were a decreasing intensity with distance from the fovea, partially segmental occurrence and manifestation limited in time. OCT-A showed a loss of flow signal in the superficial and deep capillary plexus at the affected areas. Reduced flow signal was detected underneath the regions with retinal edema. FAF showed areas of altered signal intensity at the posterior pole. The regions of decreased FAF signal corresponded to peri-venous regions. CONCLUSION： Multimodal imaging modalities in retinal ischemia yield characteristic findings and valuable diagnostic information. Conventional OCT identifies hyperreflectivity and thickening and a mid-retinal hyperreflective band is frequently observed. OCT-A examination reveals demarcation of the ischemic retinal area on the vascular level. FAF shows decreased fluorescence signal in areas of retinal edema often corresponding to peri-venous regions.展开更多
AIM:To describe the clinical characteristics of eyes using multimodal imaging features with acute macular neuroretinopathy(AMN)lesions following severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.MET...AIM:To describe the clinical characteristics of eyes using multimodal imaging features with acute macular neuroretinopathy(AMN)lesions following severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.METHODS:Retrospective case series study.From December 18,2022 to February 14,2023,previously healthy cases within 1-week infection with SARS-CoV-2 and examined at Tianjin Eye Hospital to confirm the diagnosis of AMN were included in the study.Totally 5 males and 9 females[mean age:29.93±10.32(16-49)y]were presented for reduced vision,with or without blurred vision.All patients underwent best corrected visual acuity(BCVA),intraocular pressure,slit lamp microscopy,indirect fundoscopy.Simultaneously,multimodal imagings fundus photography(45°or 200°field of view)was performed in 7 cases(14 eyes).Near infrared(NIR)fundus photography was performed in 9 cases(18 eyes),optical coherence tomography(OCT)in 5 cases(10 eyes),optical coherence tomography angiography(OCTA)in 9 cases(18 eyes),and fundus fluorescence angiography(FFA)in 3 cases(6 eyes).Visual field was performed in 1 case(2 eyes).RESULTS:Multimodal imaging findings data from 14 patients with AMN were reviewed.All eyes demonstrated different extent hyperreflective lesions at the level of the inner nuclear layer and/or outer plexus layer on OCT or OCTA.Fundus photography(45°or 200°field of view)showed irregular hypo-reflective lesion around the fovea in 7 cases(14 eyes).OCTA demonstrated that the superficial retinal capillary plexus(SCP)vascular density,deep capillary plexus(DCP)vascular density and choriocapillaris(CC)vascular density was reduced in 9 case(18 eyes).Among the follow-up cases(2 cases),vascular density increased in 1 case with elevated BCVA;another case has vascular density decrease in one eye and basically unchanged in other eye.En face images of the ellipsoidal zone and interdigitation zone injury showed a low wedge-shaped reflection contour appearance.NIR image mainly show the absence of the outer retinal interdigitation zone in AMN.No abnormal fluorescence was observed in FFA.Corresponding partial defect of the visual field were visualized via perimeter in one case.CONCLUSION:The morbidity of SARS-CoV-2 infection with AMN is increased.Ophthalmologists should be aware of the possible,albeit rare,AMN after SARS-CoV-2 infection and focus on multimodal imaging features.OCT,OCTA,and infrared fundus phase are proved to be valuable tools for detection of AMN in patients with SARS-CoV-2.展开更多
The diagnosis and effective management of inflammatory bowel disease(IBD) requires a combination clinical, endoscopic, histological, biological, and imaging data. While endoscopy and biopsy remains the gold standard f...The diagnosis and effective management of inflammatory bowel disease(IBD) requires a combination clinical, endoscopic, histological, biological, and imaging data. While endoscopy and biopsy remains the gold standard for diagnosis of IBD, imaging plays a central role in the assessment of extra mural disease, in disease surveillance and in the assessment of response to medical treatments, which are often expensive. Imaging is also vital in the detection and diagnosis of disease related complications, both acute and chronic. In this review, we will describe, with illustrative images, the imaging features of IBD in adults, with emphasis on upto-date imaging techniques focusing predominantly on cross sectional imaging and new magnetic resonance imaging techniques.展开更多
To date,numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases,but few have attempted to characterize these cellular events under conditions similar to the native environment....To date,numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases,but few have attempted to characterize these cellular events under conditions similar to the native environment.To address this challenge,a three-dimensional(3D)multimodal analysis platform was developed for characterizing in vivo cellular dynamics in skin,which was then utilized to process in vivo wound healing data to demonstrate its applicability.Special attention is focused on in vivo biological parameters that are difficult to study with ex vivo analysis,including 3D cell tracking and techniques to connect biological information obtained from different imaging modalities.These results here open new possibilities for evaluating 3D cellular dynamics in vivo,and can potentially provide new tools for characterizing the skin microenvironment and pathologies in the future.展开更多
Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that...Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that can predict the preoperative lymph node(LN)status in EC patients.METHODS A total of 32 EC patients confirmed by clinical pathology(who underwent surgical treatment)were included.Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy,and its correlation with LNM was analyzed.Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python.Feature extraction,data dimensionality reduction,and feature selection were performed using XGBoost model and leave-one-out cross-validation.Multivariable logistic regression analysis was used to establish the prediction model,which included radiomics features,LN status from computed tomography(CT)reports,and B7-H3 mRNA expression,represented by a radiomics nomogram.Receiver operating characteristic area under the curve(AUC)and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical application value of the model.RESULTS The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis,and the difference was statistically significant(P<0.05).The AUC value in the receiver operating characteristic(ROC)curve was 0.718(95%CI:0.528-0.907),with a sensitivity of 0.733 and specificity of 0.706,indicating good diagnostic performance.The individualized clinical prediction nomogram included radiomics features,LN status from CT reports,and B7-H3 mRNA expression.The ROC curve demonstrated good diagnostic value,with an AUC value of 0.765(95%CI:0.598-0.931),sensitivity of 0.800,and specificity of 0.706.DCA indicated the practical value of the radiomics nomogram in clinical practice.CONCLUSION This study developed a radiomics nomogram that includes radiomics features,LN status from CT reports,and B7-H3 mRNA expression,enabling convenient preoperative individualized prediction of LNM in EC patients.展开更多
Infective endocarditis is one of the leading life-threatening infections around the world.With the exponential growth in the field of transcatheter interventions and advances in specialized surgical techniques,the num...Infective endocarditis is one of the leading life-threatening infections around the world.With the exponential growth in the field of transcatheter interventions and advances in specialized surgical techniques,the number of prosthetic valves and cardiac implantable devices has significantly increased.This has led to a steep rise in the number of cases of prosthetic valve endocarditis(PVE)comprising up to 30%of all cases.Clinical guidelines rely on the use of the modified Duke criteria;however,the diagnostic sensitivity of the modified Duke criteria is reduced in the context of PVE.This is in part attributed to prosthesis related artifact which greatly affects the ability of echocardiography to detect early infective changes related to PVE in certain cases.There has been increasing recognition of the roles of complementary imaging modalities and updates in international society recommendations.Prompt diagnosis and treatment can prevent the devastating consequences of this condition.Imaging modalities such as cardiac computed tomography and 18-fluorodeoxyglucose positron emission tomography/computed tomography are diagnostic tools that provide a complementary role to echocardiography in aiding diagnosis,pre-operative planning,and treatment decisionmaking process in these challenging cases.Understanding the strengths and limitations of these adjuvant imaging modalities is crucial for the implementation of appropriate imaging modalities in clinical practice.展开更多
Multimodal imaging,including augmented or mixed reality,transforms the physicians’interaction with clinical imaging,allowing more accurate data interpretation,better spatial resolution,and depth perception of the pat...Multimodal imaging,including augmented or mixed reality,transforms the physicians’interaction with clinical imaging,allowing more accurate data interpretation,better spatial resolution,and depth perception of the patient’s anatomy.We successfully overlay 3D holographic visualization to magnetic resonance imaging images for preoperative decision making of a complex case of cardiac tumour in a 7-year-old girl.展开更多
Developing low toxicity and multifunctional theranostic nanoplatform is the key for precise cancer diagnosis and treatment.Herein,an inorganic-organic hybrid nanocomposite is designed by modifying zirconium dioxide(Zr...Developing low toxicity and multifunctional theranostic nanoplatform is the key for precise cancer diagnosis and treatment.Herein,an inorganic-organic hybrid nanocomposite is designed by modifying zirconium dioxide(ZrO_(2)) with polydopamine(PDA) followed by doping Mn^(2+) ions and functionalizing with Tween 20(Tween-ZrO_(2)@PDA-Mn2+) for multimodal imaging and chemo-photothermal combination therapy.The as-prepared nanocomposite exhibits good biocompatibility in vitro and in vivo.Specifically,it can be employed as a multifunctional platform not only for computed tomography(CT)imaging and T1-weighted magnetic resonance(MR) imaging,but also for efficient chemotherapeutic drug doxorubicin hydrochloride(DOX) loading.Importantly,because of the pronounced photothermal conversion performance and controllable DOX release ability triggered by the near-infrared(NIR)irradiation and acidic pH,the synergistic effect between photothermal the rapy and chemotherapy results in an enhanced cancer treatment efficacy in vivo.Our work provides a high-performance inorganicorganic hybrid nanotheranostic platform for chemo-photothermal cancer therapy guided by CT and MR imaging.展开更多
基金supported by Gansu Natural Science Foundation Programme(No.24JRRA231)National Natural Science Foundation of China(No.62061023)Gansu Provincial Education,Science and Technology Innovation and Industry(No.2021CYZC-04)。
文摘Medical image fusion technology is crucial for improving the detection accuracy and treatment efficiency of diseases,but existing fusion methods have problems such as blurred texture details,low contrast,and inability to fully extract fused image information.Therefore,a multimodal medical image fusion method based on mask optimization and parallel attention mechanism was proposed to address the aforementioned issues.Firstly,it converted the entire image into a binary mask,and constructed a contour feature map to maximize the contour feature information of the image and a triple path network for image texture detail feature extraction and optimization.Secondly,a contrast enhancement module and a detail preservation module were proposed to enhance the overall brightness and texture details of the image.Afterwards,a parallel attention mechanism was constructed using channel features and spatial feature changes to fuse images and enhance the salient information of the fused images.Finally,a decoupling network composed of residual networks was set up to optimize the information between the fused image and the source image so as to reduce information loss in the fused image.Compared with nine high-level methods proposed in recent years,the seven objective evaluation indicators of our method have improved by 6%−31%,indicating that this method can obtain fusion results with clearer texture details,higher contrast,and smaller pixel differences between the fused image and the source image.It is superior to other comparison algorithms in both subjective and objective indicators.
基金supported by the Medical and health science and technology project of Xiangyang science and Technology Bureau(2020ZD17)the Scientific research project of Hubei Provincial Health Commission(WJ2021F072)+1 种基金the Scientific research project of Xiangyang first people's Hospital(XYYM11)the Science research program of Hubei Provincial Department of Education(D20222103)。
文摘Purpose:Although traditional craniotomy(TC)surgery has failed to show benefits for the functional outcome of intracerebral hemorrhage(ICH).However,a minimally invasive hematoma removal plan to avoid white matter fiber damage may be a safer and more feasible surgical approach,which may improve the prognosis of ICH.We conducted a historical cohort study on the use of multimodal image fusion-assisted neuroendoscopic surgery(MINS)for the treatment of ICH,and compared its safety and effectiveness with traditional methods.Methods:This is a historical cohort study involving 241 patients with cerebral hemorrhage.Divided into MINS group and TC group based on surgical methods.Multimodal images(CT skull,CT angiography,and white matter fiber of MRI diffusion-tensor imaging)were fused into 3 dimensional images for preoperative planning and intraoperative guidance of endoscopic hematoma removal in the MINS group.Clinical features,operative efficiency,perioperative complications,and prognoses between 2 groups were compared.Normally distributed data were analyzed usingt-test of 2 independent samples,Nonnormally distributed data were compared using the Kruskal-Wallis test.Meanwhile categorical data were analyzed via the Chi-square test or Fisher’s exact test.All statistical tests were two-sided,andp<0.05 was considered statistically significant.Results:A total of 42 patients with ICH were enrolled,who underwent TC surgery or MINS.Patients who underwent MINS had shorter operative time(p<0.001),less blood loss(p<0.001),better hematoma evacuation(p=0.003),and a shorter stay in the intensive care unit(p=0.002)than patients who underwent TC.Based on clinical characteristics and analysis of perioperative complications,there is no significant difference between the 2 surgical methods.Modified Rankin scale scores at 180 days were better in the MINS than in the TC group(p=0.014).Conclusions:Compared with TC for the treatment of ICH,MINS is safer and more efficient in cleaning ICH,which improved the prognosis of the patients.In the future,a larger sample size clinical trial will be needed to evaluate its efficacy.
基金supported by the National Natural Science Foundation of China(32171797)Chunhui Project Foundation of the Education Department of China(HZKY20220026).
文摘With rapid urbanization,fires pose significant challenges in urban governance.Traditional fire detection methods often struggle to detect smoke in complex urban scenes due to environmental interferences and variations in viewing angles.This study proposes a novel multimodal smoke detection method that fuses infrared and visible imagery using a transformer-based deep learning model.By capturing both thermal and visual cues,our approach significantly enhances the accuracy and robustness of smoke detection in business parks scenes.We first established a dual-view dataset comprising infrared and visible light videos,implemented an innovative image feature fusion strategy,and designed a deep learning model based on the transformer architecture and attention mechanism for smoke classification.Experimental results demonstrate that our method outperforms existing methods,under the condition of multi-view input,it achieves an accuracy rate of 90.88%,precision rate of 98.38%,recall rate of 92.41%and false positive and false negative rates both below 5%,underlining the effectiveness of the proposed multimodal and multi-view fusion approach.The attention mechanism plays a crucial role in improving detection performance,particularly in identifying subtle smoke features.
文摘Objective: To construct brain tumors and their surrounding anatomical structures through the method of registration, fusion and, three-dimensional(3D) reconstruction based on multimodal image data and to provide the visual information of tumor, skull,brain, and vessels for preoperative evaluation, surgical planning, and function protection.Methods: The image data of computed tomography(CT) and magnetic resonance imaging(MRI) were collected from fifteen patients with confirmed brain tumors.We reconstructed brain tumors and their surrounding anatomical structures using Neuro Tech software. Results: The whole 3D structures including tumor, brain surface, skull, and vessels were successfully reconstructed based on the CT and MRI images. Reconstruction image clearly shows the tumor size, location, shape, and the anatomical relationship of tumor and surrounding structures. We can hide any reconstructed images such as skull,brain tissue, blood vessles, or tumors. We also can adjust the color of reconstructed images and rotate images to observe the structures from any direction. Reconstruction of brain and skull can be semi transparent to display the deep structure; reconstruction of the structures can be axial, coronal, and sagittal cutting to show relationship among tumor and surrounding structures. The reconstructed 3D structures clearly depicted the tumor features, such as size, location, and shape, and provided visual information of the spatial relationship among its surrounding structures. Conclusions: The method of registration, fusion, and 3D reconstruction based on multimodal images to provide the visual information is feasible and practical. The reconstructed 3D structures are useful for preoperative assessment, incision design,the choice of surgical approach, tumor resection, and functional protection.
文摘In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Posteriori(MAP)approach by considering a trivariate statistical model for the local neighboring of 2D-SMCWT coefficients.For the approx imation coefficients,a new fusion rule based on the Principal Component Analysis(PCA)is applied.We conduct several experiments using three different groups of multimodal medical images to evaluate the performance of the proposed method.The obt ained results prove the superiority of the proposed method over the state of the art fusion methods in terms of visual quality and several commonly used metrics.Robustness of the proposed method is further tested against different types of noise.The plots of fusion met rics establish the accuracy of the proposed fusion method.
基金supported in part by funding from BeiGene,Ltd.,USA(Grant No.:KPR081)with additional support from the Alessandra Bono Foundation,Italy.
文摘Pamiparib is a potent and selective oral poly(adenosine diphosphate(ADP)-ribose)-polymerase(PARP)1/2inhibitor(PARPi).Pamiparib has good bioavailability and shows greater cytotoxic potency and similar DNA-trapping capacity compared to olaparib.It is not affected by adenosine triphosphate(ATP)-binding cassette transporters.
基金Supported by the Clinical Research Plan of SHDC(No.SHDC2020CR6029).
文摘The phenotypes of the adenine-to-guanine transition at position 3243 of mitochondrial DNA(m.3243A>G)are highly variable,with different symptoms observed in different patients.These include mitochondrial encephalomyopathy,lactic acidosis,and stroke-like episodes(MELAS);maternally inherited diabetes and deafness syndrome(MIDD);other syndromic conditions;or non-syndromic mitochondrial disorders.Renal involvement associated with this mutation generally manifests as subnephrotic proteinuria,progressive deterioration of kidney function,and increased morbidity.The retinopathies linked to the m.3243A>G mutation have heterogeneous presentations,characterized by variable degrees of retinal pigment epithelium(RPE)atrophy and hyperpigmentation at the posterior pole.As a severe phenotype of the m.3243A>G mutation,MELAS combined with focal and segmental glomerulosclerosis(FSGS)is rare.We herein firstly reported in detail the ophthalmic manifestations of a patient with this condition.Additionally,we reviewed the literature on fundus,ophthalmic electrophysiology,and optical coherence tomography(OCT)findings related to the m.3243A>G mutation.
基金the National Natural Science Foundation of China(62375127,82272664)Hunan Provincial Natural Science Foundation of China(2022JJ30843)+5 种基金the Science and Technology Development Fund Guided by Central Govern-ment(2021Szvup169)the Scientic Research Program of Hunan Provincial Health Commission(B202304077077)the Fundamental Research Funds for the Central Universities(NS2022035)Prospective Layout Special Fund of Nanjing University of Aero-nautics and Astronautics(ILA-22022)Graduate Research and Innovation Program of Nanjing University of Aeronautics and Astronautics(xcxjh20220328)Experimental Technology Research and Development Project of NUAA(No.SYJS202303Z)for the grant。
文摘Osteosarcoma is the most common primary bone tumor with high malignancy.It is particularly necessary to achieve rapid and accurate diagnosis in its intraoperative examination and early diagnosis.Accordingly,the multimodal microscopic imaging diagnosis system constructed by bright field,spontaneous fluorescence and polarized light microscopic imaging was used to study the pathological mechanism of osteosarcoma from the tissue microenvironment level and achieve rapid and accurate diagnosis.First,the multimodal microscopic images of normal and osteosarcoma tissue slices were collected to characterize the overall morphology of the tissue microenvironment of the samples,the arrangement structure of collagen fibers and the content and distribution of endogenous fluorescent substances.Second,based on the correlation and complementarity of the feature information contained in the three single-mode images,combined with convolutional neural network(CNN)and image fusion methods,a multimodal intelligent diagnosis model was constructed to effectively improve the information utilization and diagnosis accuracy.The accuracy and true positivity of the multimodal diagnostic model were significantly improved to 0.8495 and 0.9412,respectively,compared to those of the single-modal models.Besides,the difference of tissue microenvironments before and after cancerization can be used as a basis for cancer diagnosis,and the information extraction and intelligent diagnosis of osteosarcoma tissue can be achieved by using multimodal microscopic imaging technology combined with deep learning,which significantly promoted the application of tissue microenvironment in pathological examination.This diagnostic system relies on its advantages of simple operation,high efficiency and accuracy and high cost-effectiveness,and has enormous clinical application potential and research significance.
文摘BACKGROUND Congenital renal arteriovenous fistula(RAVF)is a clinically rare condition and frequently missed and misdiagnosed.Multimodal imaging techniques can pro-vide more detailed diagnostic information to help physicians more accurately diagnose and treat diseases.Combining imaging methods to diagnose RAVF has rarely been reported.CASE SUMMARY A 69-year-old female patient presented with gross hematuria that had persisted for 10 days.The patient underwent ultrasound examinations of the kidneys and renal blood vessels,enhanced computed tomography,three-dimensional com-puted tomography angiography,and digital subtraction angiography of the renal arteries.These revealed dilatation of the left renal vein and abnormal shunting between the left renal artery and vein.The patient was diagnosed with a left RAVF using combined multimodal imaging techniques.The patient was treated with left renal artery embolization immediately after renal arteriography.Hema-turia resolved following the left renal artery embolization without serious bleeding or other complications.The patient made a full recovery after one year of postoperative follow-up.CONCLUSION Multimodal imaging techniques complement each other when diagnosing RAVF,providing detailed diagnostic information that can aid in accurate diagnosis and treatment.In addition,this case reminds the sonographer to pay more attention to the color doppler flow imaging and blood flow spectrum when examining the kidney,so as to avoid misdiagnosis of renal cystic lesions as renal cysts and missed diagnosis of RAVF.
基金supported by the National Natural Science Foundation of China(No.82172524 and No.81974355)National Innovation Platform Development Program(No.2020021105012440),China+3 种基金Major Program of Hubei Province(No.2021BEA161),ChinaMajor Key Project of Hubei Province(No.JD2023BAA005),ChinaWuhan Union Hospital Free Innovation Preliminary Research Fund(No.2024XHYN047),ChinaJoint Funds for the Innovation of Science and Technology(No.2024Y9062),Fujian Province,China.
文摘Objective To develop a multimodal imaging atlas of a rat brain-computer interface(BCI)that incorporates brain,arterial,bone tissue and a BCI device using mixed reality(MR)for three-dimensional(3D)visualization.Methods An invasive BCI was implanted in the left visual cortex of 4-week-old Sprague–Dawley rats.Multimodal imaging techniques,including micro-CT and 9.0 T MRI,were used to acquire images of the rat cranial bone structure,vascular distribution,brain tissue functional zones,and BCI device before and after implantation.Using 3D-slicer software,the images were fused through spatial transformations,followed by image segmentation and 3D model reconstruction.The HoloLens platform was employed for MR visualization.Results This study constructed a multimodal imaging atlas for rats that included the skull,brain tissue,arterial tissue,and BCI device coupled with MR technology to create an interactive 3D anatomical model.Conclusions This multimodal 3D atlas provides an objective and stable reference for exploring complex relationships between brain tissue structure and function,enhancing the understanding of the operational principles of BCIs.This is the first multimodal 3D imaging atlas related to a BCI created using Sprague–Dawley rats.
基金Supported by the Zhejiang Provincial Natural Science Foundation of China,No.LTGY24H160006Jiaxing Medical Key Discipline,No.2023-ZC-015.
文摘BACKGROUND Rectal cancer is one of the common digestive system malignant tumors around the world.Its early diagnosis and staging are crucial for rectal cancer treatment and prognosis.In recent years,tumor markers have gradually received attention in early screening,treatment monitoring and prognostic evaluation of cancer,but their predictive role in rectal cancer staging and differentiation is still unclear.AIM To assess the prognostic value of tumor markers alpha-fetoprotein(AFP)cancer antigen 72-4(CA72-4),carbohydrate antigen 19-9(CA19-9),and carcinoembryonic antigen(CEA),alongside multimodal magnetic resonance imaging(MRI),for staging and differentiating rectal cancer in patients.METHODS This study retrospectively analyzed 167 patients with rectal cancer who were treated at our institution from January 2020 to December 2024.Each patient underwent serological testing and multimodal MRI for diagnosis.Histopathological examination after surgical resection or imaging based on follow-up was used as the gold standard.According to the T stage and differentiation degree,patients were divided into low stage group(T1-T2)and high stage group(T3-T4).In addition,they were divided into low-differentiation groups and high-differentiation groups according to their differentiation degree.We compared the accuracy,sensitivity and specificity of tumor marker levels and MRI in rectal cancer stage and differentiation.RESULTS The study's findings indicate that in the context of rectal cancer T staging,there is substantial concordance between MRI and clinicopathological assessments,with a Kappa coefficient of 0.789(P<0.001).Similarly,for various degrees of tumor differentiation,MRI and clinicopathological evaluations demonstrated substantial agreement,with a Kappa coefficient of 0.651(P<0.001).Notably,the concentrations of tumor markers CA19-9,CA72-4,CEA,and AFP were significantly elevated in the T3-T4 stage compared to the T1-T2 stage.Furthermore,these markers were significantly higher in the low-differentiation group compared to the high-differentiation group(P<0.05).The combined use of tumor markers and MRI for preoperative T staging of rectal cancer yielded a diagnostic sensitivity of 93.7%and a specificity of 94.6%,as evidenced by the receiver operating characteristic analysis,with an area under the curve of 0.947.For tumor differentiation,the diagnostic sensitivity and specificity were 93.6%and 97.1%,respectively,with an area under the curve of 0.978(95%confidence interval:0.946-1.000),surpassing the accuracy of individual detection methods.CONCLUSION The CA19-9,CA72-4,CEA and AFP tumor markers combined with multimodal MRI have high sensitivity and specificity in diagnosing rectal cancer stage and differentiation.Their diagnostic efficacy is significantly better than that of single tests,which can effectively improve the predictive ability of rectal cancer stage and differentiation,provide a more reliable diagnostic reference for clinical practice,and have important clinical significance.
文摘Accurate diagnosis of tumors needs much detailed information. However, available single imaging modality cannot provide complete or comprehensive data. Nanomedicine is the application of nanotechnology to medicine, and multimodality imaging based on nanoparticles has been receiving extensive attention. This new hybrid imaging technology could provide complementary information from different imaging modalities using only a single injection of contrast agent. In this review, we introduce recent developments in multifunctional nanoparticles and their biomedical applications to multimodal imaging and theragnosis as nanomedicine. Most of the reviewed studies are based on the intrinsic properties of nanoparticles and their application in clinical imaging technology. The imaging techniques include positron emission tomography, single-photon emission computed tomography, computerized tomography, magnetic resonance imaging, optical imaging, and ultrasound imaging.
文摘AIM： To describe retinal findings of various imaging modalities in acute retinal ischemia. METHODS： Fluorescein angiography（FA）, spectral domain optical coherence tomography（SD-OCT）, OCTangiography（OCT-A） and fundus autofluorescence（FAF） images of 13 patients（mean age 64y, range 28-86y） with acute retinal ischemia were evaluated. Six suffered from branch arterial occlusion, 2 had a central retinal artery occlusion, 2 had a combined arteriovenous occlusions, 1 patient had a retrobulbar arterial compression by an orbital haemangioma and 2 patients showed an ocular ischemic syndrome.RESULTS： All patients showed increased reflectivity and thickening of the ischemic retinal tissue. In 10 out of 13 patients SD-OCT revealed an additional highly reflective band located within or above the outer plexiform layer. Morphological characteristics were a decreasing intensity with distance from the fovea, partially segmental occurrence and manifestation limited in time. OCT-A showed a loss of flow signal in the superficial and deep capillary plexus at the affected areas. Reduced flow signal was detected underneath the regions with retinal edema. FAF showed areas of altered signal intensity at the posterior pole. The regions of decreased FAF signal corresponded to peri-venous regions. CONCLUSION： Multimodal imaging modalities in retinal ischemia yield characteristic findings and valuable diagnostic information. Conventional OCT identifies hyperreflectivity and thickening and a mid-retinal hyperreflective band is frequently observed. OCT-A examination reveals demarcation of the ischemic retinal area on the vascular level. FAF shows decreased fluorescence signal in areas of retinal edema often corresponding to peri-venous regions.
文摘AIM:To describe the clinical characteristics of eyes using multimodal imaging features with acute macular neuroretinopathy(AMN)lesions following severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.METHODS:Retrospective case series study.From December 18,2022 to February 14,2023,previously healthy cases within 1-week infection with SARS-CoV-2 and examined at Tianjin Eye Hospital to confirm the diagnosis of AMN were included in the study.Totally 5 males and 9 females[mean age:29.93±10.32(16-49)y]were presented for reduced vision,with or without blurred vision.All patients underwent best corrected visual acuity(BCVA),intraocular pressure,slit lamp microscopy,indirect fundoscopy.Simultaneously,multimodal imagings fundus photography(45°or 200°field of view)was performed in 7 cases(14 eyes).Near infrared(NIR)fundus photography was performed in 9 cases(18 eyes),optical coherence tomography(OCT)in 5 cases(10 eyes),optical coherence tomography angiography(OCTA)in 9 cases(18 eyes),and fundus fluorescence angiography(FFA)in 3 cases(6 eyes).Visual field was performed in 1 case(2 eyes).RESULTS:Multimodal imaging findings data from 14 patients with AMN were reviewed.All eyes demonstrated different extent hyperreflective lesions at the level of the inner nuclear layer and/or outer plexus layer on OCT or OCTA.Fundus photography(45°or 200°field of view)showed irregular hypo-reflective lesion around the fovea in 7 cases(14 eyes).OCTA demonstrated that the superficial retinal capillary plexus(SCP)vascular density,deep capillary plexus(DCP)vascular density and choriocapillaris(CC)vascular density was reduced in 9 case(18 eyes).Among the follow-up cases(2 cases),vascular density increased in 1 case with elevated BCVA;another case has vascular density decrease in one eye and basically unchanged in other eye.En face images of the ellipsoidal zone and interdigitation zone injury showed a low wedge-shaped reflection contour appearance.NIR image mainly show the absence of the outer retinal interdigitation zone in AMN.No abnormal fluorescence was observed in FFA.Corresponding partial defect of the visual field were visualized via perimeter in one case.CONCLUSION:The morbidity of SARS-CoV-2 infection with AMN is increased.Ophthalmologists should be aware of the possible,albeit rare,AMN after SARS-CoV-2 infection and focus on multimodal imaging features.OCT,OCTA,and infrared fundus phase are proved to be valuable tools for detection of AMN in patients with SARS-CoV-2.
文摘The diagnosis and effective management of inflammatory bowel disease(IBD) requires a combination clinical, endoscopic, histological, biological, and imaging data. While endoscopy and biopsy remains the gold standard for diagnosis of IBD, imaging plays a central role in the assessment of extra mural disease, in disease surveillance and in the assessment of response to medical treatments, which are often expensive. Imaging is also vital in the detection and diagnosis of disease related complications, both acute and chronic. In this review, we will describe, with illustrative images, the imaging features of IBD in adults, with emphasis on upto-date imaging techniques focusing predominantly on cross sectional imaging and new magnetic resonance imaging techniques.
基金funded in part by grants from the National Institutes of Health(1R01CA213149,5R01EB023232)the National Science Foundation(CBET 18-41539).
文摘To date,numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases,but few have attempted to characterize these cellular events under conditions similar to the native environment.To address this challenge,a three-dimensional(3D)multimodal analysis platform was developed for characterizing in vivo cellular dynamics in skin,which was then utilized to process in vivo wound healing data to demonstrate its applicability.Special attention is focused on in vivo biological parameters that are difficult to study with ex vivo analysis,including 3D cell tracking and techniques to connect biological information obtained from different imaging modalities.These results here open new possibilities for evaluating 3D cellular dynamics in vivo,and can potentially provide new tools for characterizing the skin microenvironment and pathologies in the future.
基金The Yancheng Key Research and Development Program(Social Development),No.YCBE202324。
文摘Accurate preoperative prediction of lymph node metastasis(LNM)in esophageal cancer(EC)patients is of crucial clinical significance for treatment planning and prognosis.AIM To develop a clinical radiomics nomogram that can predict the preoperative lymph node(LN)status in EC patients.METHODS A total of 32 EC patients confirmed by clinical pathology(who underwent surgical treatment)were included.Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy,and its correlation with LNM was analyzed.Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python.Feature extraction,data dimensionality reduction,and feature selection were performed using XGBoost model and leave-one-out cross-validation.Multivariable logistic regression analysis was used to establish the prediction model,which included radiomics features,LN status from computed tomography(CT)reports,and B7-H3 mRNA expression,represented by a radiomics nomogram.Receiver operating characteristic area under the curve(AUC)and decision curve analysis(DCA)were used to evaluate the predictive performance and clinical application value of the model.RESULTS The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis,and the difference was statistically significant(P<0.05).The AUC value in the receiver operating characteristic(ROC)curve was 0.718(95%CI:0.528-0.907),with a sensitivity of 0.733 and specificity of 0.706,indicating good diagnostic performance.The individualized clinical prediction nomogram included radiomics features,LN status from CT reports,and B7-H3 mRNA expression.The ROC curve demonstrated good diagnostic value,with an AUC value of 0.765(95%CI:0.598-0.931),sensitivity of 0.800,and specificity of 0.706.DCA indicated the practical value of the radiomics nomogram in clinical practice.CONCLUSION This study developed a radiomics nomogram that includes radiomics features,LN status from CT reports,and B7-H3 mRNA expression,enabling convenient preoperative individualized prediction of LNM in EC patients.
文摘Infective endocarditis is one of the leading life-threatening infections around the world.With the exponential growth in the field of transcatheter interventions and advances in specialized surgical techniques,the number of prosthetic valves and cardiac implantable devices has significantly increased.This has led to a steep rise in the number of cases of prosthetic valve endocarditis(PVE)comprising up to 30%of all cases.Clinical guidelines rely on the use of the modified Duke criteria;however,the diagnostic sensitivity of the modified Duke criteria is reduced in the context of PVE.This is in part attributed to prosthesis related artifact which greatly affects the ability of echocardiography to detect early infective changes related to PVE in certain cases.There has been increasing recognition of the roles of complementary imaging modalities and updates in international society recommendations.Prompt diagnosis and treatment can prevent the devastating consequences of this condition.Imaging modalities such as cardiac computed tomography and 18-fluorodeoxyglucose positron emission tomography/computed tomography are diagnostic tools that provide a complementary role to echocardiography in aiding diagnosis,pre-operative planning,and treatment decisionmaking process in these challenging cases.Understanding the strengths and limitations of these adjuvant imaging modalities is crucial for the implementation of appropriate imaging modalities in clinical practice.
文摘Multimodal imaging,including augmented or mixed reality,transforms the physicians’interaction with clinical imaging,allowing more accurate data interpretation,better spatial resolution,and depth perception of the patient’s anatomy.We successfully overlay 3D holographic visualization to magnetic resonance imaging images for preoperative decision making of a complex case of cardiac tumour in a 7-year-old girl.
基金supported by the National Natural Science Foundation of China (Nos.51772293,U1932112,and 21471103)Beijing Natural Science Foundation (No.2202064)+1 种基金Science and Technology Innovation Service Ability Construction Project of the Beijing Municipal Commission of Education (No.19530050182)CAS Key Laboratory of Nano-Bio Interface (No.20NBI01)。
文摘Developing low toxicity and multifunctional theranostic nanoplatform is the key for precise cancer diagnosis and treatment.Herein,an inorganic-organic hybrid nanocomposite is designed by modifying zirconium dioxide(ZrO_(2)) with polydopamine(PDA) followed by doping Mn^(2+) ions and functionalizing with Tween 20(Tween-ZrO_(2)@PDA-Mn2+) for multimodal imaging and chemo-photothermal combination therapy.The as-prepared nanocomposite exhibits good biocompatibility in vitro and in vivo.Specifically,it can be employed as a multifunctional platform not only for computed tomography(CT)imaging and T1-weighted magnetic resonance(MR) imaging,but also for efficient chemotherapeutic drug doxorubicin hydrochloride(DOX) loading.Importantly,because of the pronounced photothermal conversion performance and controllable DOX release ability triggered by the near-infrared(NIR)irradiation and acidic pH,the synergistic effect between photothermal the rapy and chemotherapy results in an enhanced cancer treatment efficacy in vivo.Our work provides a high-performance inorganicorganic hybrid nanotheranostic platform for chemo-photothermal cancer therapy guided by CT and MR imaging.
