BACKGROUND Secondary lymphedema after surgical interventions is a progressive,chronic disease that is still not completely curable.Over the past years,a multitude of surgical therapy options have been described.AIM To...BACKGROUND Secondary lymphedema after surgical interventions is a progressive,chronic disease that is still not completely curable.Over the past years,a multitude of surgical therapy options have been described.AIM To summarize the single-center complications in lymph vessel(LVTx)and free vascularized lymph node transfer(VLNT).METHODS In total,the patient collective consisted of 87 patients who were undergoing treatment for secondary leg lymphedema during the study period from March 2010 to April 2020.The data collection was performed preoperatively during consultations,as well as three weeks,six months and twelve months after surgical treatment.In the event of complications,more detailed follow-up checks were carried out.In total n=18 robot-assisted omental lymph node transplantations,n=33 supraclavicular lymph node transplantations and n=36 Lymph vessel transplantations were analyzed.An exemplary drawing is shown in Figure 1.A graphical representation of patient selection is shown in Figure 2.Robotic harvest was performed with the Da Vinci Xi Robot Systems(Intuitive Surgical,CA,United States).RESULTS In total,11 male and 76 female patients were operated on.The mean age of the patients at study entry was:omental VLNT:57.45±8.02 years;supraclavicular VLNT:49.76±4.16 years and LVTx:49.75±4.95 years.The average observation time postoperative was:omental VLNT:18±3.48 mo;supraclavicular VLNT:14.15±4.9 and LVTx:14.84±4.46 mo.In our omental VLNT,three patients showed a slight abdominal sensation of tension within the first 12 postoperative days.No other donor side morbidities occurred.No intraoperative conversion to open technique was needed.Our supraclavicular VLNT collective showed 10 lift defect morbidities with one necessary surgical intervention.In our LVTx collective,12 cases of donor side morbidity were registered.In one case,surgical intervention was necessary.CONCLUSION Concerning donor side morbidity,robot-assisted omental VLNT is clearly superior to supraclavicular lymph node transplantation and LVTx.展开更多
Background The prognosis and survival of patients with lung cancer are likely to deteriorate with metastasis.Using deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of ...Background The prognosis and survival of patients with lung cancer are likely to deteriorate with metastasis.Using deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of the likelihood of such metastasis,thereby providing clinicians with crucial information to enhance diagnostic precision and ultimately improve patient survival and prognosis.Methods In total,623 eligible patients were recruited from two medical institutions.Seven deep learning models,namely Alex,GoogLeNet,Resnet18,Resnet101,Vgg16,Vgg19,and MobileNetv3(small),were utilized to extract deep image histological features.The dimensionality of the extracted features was then reduced using the Spearman correlation coefficient(r≥0.9)and Least Absolute Shrinkage and Selection Operator.Eleven machine learning methods,namely Support Vector Machine,K-nearest neighbor,Random Forest,Extra Trees,XGBoost,LightGBM,Naive Bayes,AdaBoost,Gradient Boosting Decision Tree,Linear Regression,and Multilayer Perceptron,were employed to construct classification prediction models for the filtered final features.The diagnostic performances of the models were assessed using various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value.Calibration and decision-curve analyses were also performed.Results The present study demonstrated that using deep radiomic features extracted from Vgg16,in conjunction with a prediction model constructed via a linear regression algorithm,effectively distinguished the status of mediastinal lymph nodes in patients with lung cancer.The performance of the model was evaluated based on various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value,which yielded values of 0.808,0.834,0.851,0.745,0.829,and 0.776,respectively.The validation set of the model was assessed using clinical decision curves,calibration curves,and confusion matrices,which collectively demonstrated the model's stability and accuracy.Conclusion In this study,information on the deep radiomics of Vgg16 was obtained from computed tomography images,and the linear regression method was able to accurately diagnose mediastinal lymph node metastases in patients with lung cancer.展开更多
Background:Lymphedema is a debilitating condition that frequently occurs after breast cancer treatment.Vas-cularized lymph node transfer(VLNT)is a promising approach to reduce lymphedema.This study used magnetic reson...Background:Lymphedema is a debilitating condition that frequently occurs after breast cancer treatment.Vas-cularized lymph node transfer(VLNT)is a promising approach to reduce lymphedema.This study used magnetic resonance lymphangiography(MRL)to assess lymphatic reconnections post-VLNT in patients with breast cancer-related lymphedema(BCRL).Methods:The clinical records of six female patients with unilateral upper limb BCRL who underwent VLNT(4 cases)or VLNT combined with breast reconstruction(2 cases)were retrospectively reviewed.All patients were examined using MRL preoperatively and at the 1-year follow-up.The morphological characteristics of the lymphatic network,dermal backflow patterns,and architecture of the lymph nodes were evaluated.Clinical outcomes,patient satisfaction,and complications were assessed.Results:At the 1-year follow-up,reduction in tissue edema and limb circumference was achieved in all six patients.In MRL,the implanted lymph nodes in the axillary region of the affected upper arm were enhanced and visualized in all six patients.Reconnected lymphatic vessels in the subcutaneous tissue associated with the implanted lymph nodes were observed in four patients.Decreased dermal backflow and lymphatic vessel dilation of the affected limbs were observed in all six patients.No disruption of the lymph flow in the donor area was detected.Conclusion:This is the first study to provide direct imaging evidence for the reconnection of afferent lymphatic channels between implanted lymph nodes and the recipient lymphatic system in patients with BCRL.Overall,our study demonstrates the mechanism and efficacy of VLNT in reducing lymphedema.展开更多
文摘BACKGROUND Secondary lymphedema after surgical interventions is a progressive,chronic disease that is still not completely curable.Over the past years,a multitude of surgical therapy options have been described.AIM To summarize the single-center complications in lymph vessel(LVTx)and free vascularized lymph node transfer(VLNT).METHODS In total,the patient collective consisted of 87 patients who were undergoing treatment for secondary leg lymphedema during the study period from March 2010 to April 2020.The data collection was performed preoperatively during consultations,as well as three weeks,six months and twelve months after surgical treatment.In the event of complications,more detailed follow-up checks were carried out.In total n=18 robot-assisted omental lymph node transplantations,n=33 supraclavicular lymph node transplantations and n=36 Lymph vessel transplantations were analyzed.An exemplary drawing is shown in Figure 1.A graphical representation of patient selection is shown in Figure 2.Robotic harvest was performed with the Da Vinci Xi Robot Systems(Intuitive Surgical,CA,United States).RESULTS In total,11 male and 76 female patients were operated on.The mean age of the patients at study entry was:omental VLNT:57.45±8.02 years;supraclavicular VLNT:49.76±4.16 years and LVTx:49.75±4.95 years.The average observation time postoperative was:omental VLNT:18±3.48 mo;supraclavicular VLNT:14.15±4.9 and LVTx:14.84±4.46 mo.In our omental VLNT,three patients showed a slight abdominal sensation of tension within the first 12 postoperative days.No other donor side morbidities occurred.No intraoperative conversion to open technique was needed.Our supraclavicular VLNT collective showed 10 lift defect morbidities with one necessary surgical intervention.In our LVTx collective,12 cases of donor side morbidity were registered.In one case,surgical intervention was necessary.CONCLUSION Concerning donor side morbidity,robot-assisted omental VLNT is clearly superior to supraclavicular lymph node transplantation and LVTx.
基金the Science and Technology Funding Project of Hunan Province,China(2023JJ50410)(HX)Key Laboratory of Tumor Precision Medicine,Hunan colleges and Universities Project(2019-379)(QL).
文摘Background The prognosis and survival of patients with lung cancer are likely to deteriorate with metastasis.Using deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of the likelihood of such metastasis,thereby providing clinicians with crucial information to enhance diagnostic precision and ultimately improve patient survival and prognosis.Methods In total,623 eligible patients were recruited from two medical institutions.Seven deep learning models,namely Alex,GoogLeNet,Resnet18,Resnet101,Vgg16,Vgg19,and MobileNetv3(small),were utilized to extract deep image histological features.The dimensionality of the extracted features was then reduced using the Spearman correlation coefficient(r≥0.9)and Least Absolute Shrinkage and Selection Operator.Eleven machine learning methods,namely Support Vector Machine,K-nearest neighbor,Random Forest,Extra Trees,XGBoost,LightGBM,Naive Bayes,AdaBoost,Gradient Boosting Decision Tree,Linear Regression,and Multilayer Perceptron,were employed to construct classification prediction models for the filtered final features.The diagnostic performances of the models were assessed using various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value.Calibration and decision-curve analyses were also performed.Results The present study demonstrated that using deep radiomic features extracted from Vgg16,in conjunction with a prediction model constructed via a linear regression algorithm,effectively distinguished the status of mediastinal lymph nodes in patients with lung cancer.The performance of the model was evaluated based on various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value,which yielded values of 0.808,0.834,0.851,0.745,0.829,and 0.776,respectively.The validation set of the model was assessed using clinical decision curves,calibration curves,and confusion matrices,which collectively demonstrated the model's stability and accuracy.Conclusion In this study,information on the deep radiomics of Vgg16 was obtained from computed tomography images,and the linear regression method was able to accurately diagnose mediastinal lymph node metastases in patients with lung cancer.
基金supported by the National Natural Science Foundation of China(grant nos.81372080 and 82302822)Shanghai Municipal Key Clinical Specialty(grant no.shslczdzk00901)Shanghai Sailing Program(grant no.21YF1424000).
文摘Background:Lymphedema is a debilitating condition that frequently occurs after breast cancer treatment.Vas-cularized lymph node transfer(VLNT)is a promising approach to reduce lymphedema.This study used magnetic resonance lymphangiography(MRL)to assess lymphatic reconnections post-VLNT in patients with breast cancer-related lymphedema(BCRL).Methods:The clinical records of six female patients with unilateral upper limb BCRL who underwent VLNT(4 cases)or VLNT combined with breast reconstruction(2 cases)were retrospectively reviewed.All patients were examined using MRL preoperatively and at the 1-year follow-up.The morphological characteristics of the lymphatic network,dermal backflow patterns,and architecture of the lymph nodes were evaluated.Clinical outcomes,patient satisfaction,and complications were assessed.Results:At the 1-year follow-up,reduction in tissue edema and limb circumference was achieved in all six patients.In MRL,the implanted lymph nodes in the axillary region of the affected upper arm were enhanced and visualized in all six patients.Reconnected lymphatic vessels in the subcutaneous tissue associated with the implanted lymph nodes were observed in four patients.Decreased dermal backflow and lymphatic vessel dilation of the affected limbs were observed in all six patients.No disruption of the lymph flow in the donor area was detected.Conclusion:This is the first study to provide direct imaging evidence for the reconnection of afferent lymphatic channels between implanted lymph nodes and the recipient lymphatic system in patients with BCRL.Overall,our study demonstrates the mechanism and efficacy of VLNT in reducing lymphedema.
