Objective:To investigate the quantitative assessment efficacy of chest CT combined with serum Vanin-1 and SPP1 in determining the progression stage of chronic obstructive pulmonary disease(COPD).Methods:A total of 100...Objective:To investigate the quantitative assessment efficacy of chest CT combined with serum Vanin-1 and SPP1 in determining the progression stage of chronic obstructive pulmonary disease(COPD).Methods:A total of 100 COPD subjects from our hospital from January 2020 to December 2023 were included and randomly divided into a healthy control group and an experimental group(50 cases each).The healthy control group underwent slow vital capacity measurement using a spirometer,while the experimental group underwent high-resolution thin-slice CT scans and serum Vanin-1 and SPP1 concentration measurements.Pulmonary function parameters,symptom burden,biomarker concentrations,and imaging characteristics were compared between the two groups.Results:The FEV1/FVC ratio in the experimental group(58.3±7.2)was lower than that in the healthy control group(92.1±4.8);the total CAT score(22.4±3.5)was higher than that in the healthy control group(3.1±1.2);both Vanin-1(18.7±2.3μg/L)and SPP1(25.6±4.1μg/L)levels were higher than those in the healthy control group;LAA%-950(38.7±6.2%)and WA%(68.5±5.3%)were significantly higher than those in the healthy control group(all p<0.001).Conclusion:Chest CT combined with serum Vanin-1 and SPP1 can accurately quantify the pathological progression of COPD,providing a dual basis for clinical staging and individualized intervention.展开更多
Objective:To explore a simple method for improving the diagnostic accuracy of malignant lung nodules based on imaging features of lung nodules.Methods:A retrospective analysis was conducted on the imaging data of 114 ...Objective:To explore a simple method for improving the diagnostic accuracy of malignant lung nodules based on imaging features of lung nodules.Methods:A retrospective analysis was conducted on the imaging data of 114 patients who underwent lung nodule surgery in the Thoracic Surgery Department of the First People’s Hospital of Huzhou from June to September 2024.Imaging features of lung nodules were summarized and trained using a BP neural network.Results:Training with the BP neural network increased the diagnostic accuracy for distinguishing between benign and malignant lung nodules based on imaging features from 84.2%(manual assessment)to 94.1%.Conclusion:Training with the BP neural network significantly improves the diagnostic accuracy of lung nodule malignancy based solely on imaging features.展开更多
The diagnosis of COVID-19 requires chest computed tomography(CT).High-resolution CT images can provide more diagnostic information to help doctors better diagnose the disease,so it is of clinical importance to study s...The diagnosis of COVID-19 requires chest computed tomography(CT).High-resolution CT images can provide more diagnostic information to help doctors better diagnose the disease,so it is of clinical importance to study super-resolution(SR)algorithms applied to CT images to improve the reso-lution of CT images.However,most of the existing SR algorithms are studied based on natural images,which are not suitable for medical images;and most of these algorithms improve the reconstruction quality by increasing the network depth,which is not suitable for machines with limited resources.To alleviate these issues,we propose a residual feature attentional fusion network for lightweight chest CT image super-resolution(RFAFN).Specifically,we design a contextual feature extraction block(CFEB)that can extract CT image features more efficiently and accurately than ordinary residual blocks.In addition,we propose a feature-weighted cascading strategy(FWCS)based on attentional feature fusion blocks(AFFB)to utilize the high-frequency detail information extracted by CFEB as much as possible via selectively fusing adjacent level feature information.Finally,we suggest a global hierarchical feature fusion strategy(GHFFS),which can utilize the hierarchical features more effectively than dense concatenation by progressively aggregating the feature information at various levels.Numerous experiments show that our method performs better than most of the state-of-the-art(SOTA)methods on the COVID-19 chest CT dataset.In detail,the peak signal-to-noise ratio(PSNR)is 0.11 dB and 0.47 dB higher on CTtest1 and CTtest2 at×3 SR compared to the suboptimal method,but the number of parameters and multi-adds are reduced by 22K and 0.43G,respectively.Our method can better recover chest CT image quality with fewer computational resources and effectively assist in COVID-19.展开更多
Objective: to explore the efficacy of low-dose chest CT scanning combined with KARL3D iterative reconstruction technique. Methods: 100 patients who underwent chest CT examination in our hospital were randomly selected...Objective: to explore the efficacy of low-dose chest CT scanning combined with KARL3D iterative reconstruction technique. Methods: 100 patients who underwent chest CT examination in our hospital were randomly selected as the analysis objects and randomly divided into four groups, each with 25 cases. Group A was reconstructed by FBP algorithm and the pipeline current was 150mA;. The low-dose groups B, C and D were reconstructed by Karl algorithm with tube currents of 80mas, 60mas and 40mas respectively. The radiation dose and subjective and objective scores of the four groups were compared. SPSS210 statistical software was used for data analysis. Results: the radiation dose of group B, C and D using low dose tube current combined with karl3d iterative reconstruction technique was lower than that of group a (p < 0.05);The difference between the objective assessment (SD, SNR) and subjective score of the four groups was all p>0.05. Conclusion: The combination of low-dose iterative reconstruction technique and Karl 3D chest CT scan can obtain good images and reduce radiation dose, which is worthy of promotion in the industry.展开更多
Objectives: The purpose of this study is to identify how to manage oversensing of pacemakers in chest CT. Methods: Four different models of pacemakers were examined to select the pacemaker generating oversensing. To t...Objectives: The purpose of this study is to identify how to manage oversensing of pacemakers in chest CT. Methods: Four different models of pacemakers were examined to select the pacemaker generating oversensing. To the pacemaker with oversensing, intermittent switching X-ray was exposed using ECG-gated CT helical scan system at prospective CTA mode. IVY Model was used to synchronize the ECG. Only during in the alert period that is non-refractory and sensing is available, intermittent switching X-ray (300 msec/sec) was exposed in chest CT. For comparison, the same intermittent switching X-ray (300 msec/sec) was exposed in the refractory period when sensing was not available. Results: Oversensing was detected only in one of the four pacemakers tested. In this pacemaker, oversensing was generated by exposure of the intermittent switching X-ray in the alert (non-refractory) period, but oversensing was not observed in the refractory period. Conclusion: A pacemaker has alert and refractory periods. Oversensing of a pacemaker was found to be inhibited by selective ECG-synchronized exposure in the refractory period. Since all pacemakers have the refractory period, the results of this study can be widely applied to the patients with pacemakers in chest CT, and their chest CT can be operated safely.展开更多
Chest investigation is common in hospital practice. Chest X-ray is readily available and usually the first chest investigation. Thoracic CT scan constitutes an alternative and complimentary chest investigation. It is ...Chest investigation is common in hospital practice. Chest X-ray is readily available and usually the first chest investigation. Thoracic CT scan constitutes an alternative and complimentary chest investigation. It is currently the most efficient investigation for the chest and its contents. Objectives: To evaluate the relevance of chest CT Scan requests in two university teaching hospitals in Cameroon. Material and Methods: We conducted a cross-sectional, retrospective and descriptive study at the Radiology and imaging units of the Yaounde Central Hospital and the Yaounde University Teaching Hospital Centre. Included in our study were files of patients who had a chest CT scan investigation during three years. Results: We had a study population of 323 subjects. The age interval was 23 months to 91 years old. Pulmonologist were the most prescribers with 27.2%. We had 80% conformity of indications with French Society of Radiology (FSR) standards. 50 over of 323 indications were not recommended by the FSR. Conclusion: There is a conformity rate of 80% between indications and the FSR recommendations.展开更多
One of the most dangerous diseases that affect people worldwide is lung cancer.The survival rate is minimal,because of the complexity in identifying lung cancer at developed stages.Henceforth,earlier detection of lung...One of the most dangerous diseases that affect people worldwide is lung cancer.The survival rate is minimal,because of the complexity in identifying lung cancer at developed stages.Henceforth,earlier detection of lung cancer is significant.Several Machine Learning(ML)approaches have been modeled for lung cancer recognition with the advent of Artificial Intelligence.However,small-scale datasets and deprived generalizability to recognize unknown data are considered challenges in lung cancer detection.This work proposes an advanced deep learning model,named Generative Adversarial Network-Attention Gated Network(GA-AGN),which is the integration of Generative Adversarial Network(GAN)and Attention Gated Network(AGN).Initially,the chest CT scan images are subjected to the pre-processing phase,where image resizing and normalization are used to preprocess the images.Then,the data augmentation is performed using the GAN model that is trained by Elk Herd Optimizer(EHO).Subsequently,lung cancer detection is done by means of GA-AGN model.Ultimately analysis is performed by using three measures,like accuracy,sensitivity as well as specificity with values of 0.938,0.948 and 0.927.The overall analysis states that the proposed model attained better outcomes than the conventional models.展开更多
Objective Post tuberculosis lung disease(PTLD)manifests in various forms,including tuberculosisassociated chronic obstructive pulmonary disease(TB-COPD),yet the clinical features of PTLD remain undercharacterized.This...Objective Post tuberculosis lung disease(PTLD)manifests in various forms,including tuberculosisassociated chronic obstructive pulmonary disease(TB-COPD),yet the clinical features of PTLD remain undercharacterized.This study aimed to assess longitudinal changes in lung function over a 5-year period and to identify predictors of airflow obstruction in a cohort of patients treated for active pulmonary TB.Methods Patients with active pulmonary TB were enrolled in this study and were followed during treatment,at treatment completion and five years post-treatment.Assessments included lung function and chest CT,analyzing longitudinal trends and airflow obstruction risk factors.Results Among 53 patients(mean age 36.9±13.9 years;64.2%male),7 patients(13.2%)exhibited airflow obstruction.At the 5-year follow-up,the mean FEV_(1)/FVC declined significantly(76.27%±12.04%vs.80.23%±11.02%,P<0.001)and 9 patients(17.0%)exhibited airflow obstruction.Seven of these patients predominantly showed air trapping consistent with small airway disease on chest CT,aligning with TB-COPD phenotype.Notably,four young-to-middle-aged patients(<60 years old)had persistent obstruction over the five years.Conclusion The initial test revealed that 13.2%of patients presented with airflow obstruction.By the 5-year follow-up,this proportion had increased to 17.0%,with most cases demonstrating imaging findings aligning with TB-COPD,even among younger,non-smoking individuals.These findings emphasize the importance of long-term follow-up and routine lung function assessments in TB survivors.展开更多
This study aims to estimate the lifetime attributable cancer risk (LAR) for pediatric chest computed tomography (CT) examinations in five age groups using recently published age and region-specific conversion coeffici...This study aims to estimate the lifetime attributable cancer risk (LAR) for pediatric chest computed tomography (CT) examinations in five age groups using recently published age and region-specific conversion coefficients multiplying the widely available scanner registered dose length products (DLP) displayed on the CT console and hence calculating the Effective Dose (ED). The ED is then multiplied by the International Commission on Radiological Protection (ICRP) published risk factor for LAR. The obtained LAR values are compared with the international literature. Factors that may affect the LAR value are reported and discussed. The study included one hundred twenty five chest CT examinations for both males and females aged from less than one year to fifteen years. The patients reported data are from one single medical institution and using two CT scanners from June 2022 to December 2023. The results of this study may serve as benchmark for institutional radiation dose reference levels and risk estimation.展开更多
基金Baoding Science and Technology Plan Project(Project No.:2341ZF214)。
文摘Objective:To investigate the quantitative assessment efficacy of chest CT combined with serum Vanin-1 and SPP1 in determining the progression stage of chronic obstructive pulmonary disease(COPD).Methods:A total of 100 COPD subjects from our hospital from January 2020 to December 2023 were included and randomly divided into a healthy control group and an experimental group(50 cases each).The healthy control group underwent slow vital capacity measurement using a spirometer,while the experimental group underwent high-resolution thin-slice CT scans and serum Vanin-1 and SPP1 concentration measurements.Pulmonary function parameters,symptom burden,biomarker concentrations,and imaging characteristics were compared between the two groups.Results:The FEV1/FVC ratio in the experimental group(58.3±7.2)was lower than that in the healthy control group(92.1±4.8);the total CAT score(22.4±3.5)was higher than that in the healthy control group(3.1±1.2);both Vanin-1(18.7±2.3μg/L)and SPP1(25.6±4.1μg/L)levels were higher than those in the healthy control group;LAA%-950(38.7±6.2%)and WA%(68.5±5.3%)were significantly higher than those in the healthy control group(all p<0.001).Conclusion:Chest CT combined with serum Vanin-1 and SPP1 can accurately quantify the pathological progression of COPD,providing a dual basis for clinical staging and individualized intervention.
基金Zhejiang Medical and Health Technology Project(Project No.2020PY072)。
文摘Objective:To explore a simple method for improving the diagnostic accuracy of malignant lung nodules based on imaging features of lung nodules.Methods:A retrospective analysis was conducted on the imaging data of 114 patients who underwent lung nodule surgery in the Thoracic Surgery Department of the First People’s Hospital of Huzhou from June to September 2024.Imaging features of lung nodules were summarized and trained using a BP neural network.Results:Training with the BP neural network increased the diagnostic accuracy for distinguishing between benign and malignant lung nodules based on imaging features from 84.2%(manual assessment)to 94.1%.Conclusion:Training with the BP neural network significantly improves the diagnostic accuracy of lung nodule malignancy based solely on imaging features.
基金supported by the General Project of Natural Science Foundation of Hebei Province of China(H2019201378)the Foundation of the President of Hebei University(XZJJ201917)the Special Project for Cultivating Scientific and Technological Innovation Ability of University and Middle School Students of Hebei Province(2021H060306).
文摘The diagnosis of COVID-19 requires chest computed tomography(CT).High-resolution CT images can provide more diagnostic information to help doctors better diagnose the disease,so it is of clinical importance to study super-resolution(SR)algorithms applied to CT images to improve the reso-lution of CT images.However,most of the existing SR algorithms are studied based on natural images,which are not suitable for medical images;and most of these algorithms improve the reconstruction quality by increasing the network depth,which is not suitable for machines with limited resources.To alleviate these issues,we propose a residual feature attentional fusion network for lightweight chest CT image super-resolution(RFAFN).Specifically,we design a contextual feature extraction block(CFEB)that can extract CT image features more efficiently and accurately than ordinary residual blocks.In addition,we propose a feature-weighted cascading strategy(FWCS)based on attentional feature fusion blocks(AFFB)to utilize the high-frequency detail information extracted by CFEB as much as possible via selectively fusing adjacent level feature information.Finally,we suggest a global hierarchical feature fusion strategy(GHFFS),which can utilize the hierarchical features more effectively than dense concatenation by progressively aggregating the feature information at various levels.Numerous experiments show that our method performs better than most of the state-of-the-art(SOTA)methods on the COVID-19 chest CT dataset.In detail,the peak signal-to-noise ratio(PSNR)is 0.11 dB and 0.47 dB higher on CTtest1 and CTtest2 at×3 SR compared to the suboptimal method,but the number of parameters and multi-adds are reduced by 22K and 0.43G,respectively.Our method can better recover chest CT image quality with fewer computational resources and effectively assist in COVID-19.
文摘Objective: to explore the efficacy of low-dose chest CT scanning combined with KARL3D iterative reconstruction technique. Methods: 100 patients who underwent chest CT examination in our hospital were randomly selected as the analysis objects and randomly divided into four groups, each with 25 cases. Group A was reconstructed by FBP algorithm and the pipeline current was 150mA;. The low-dose groups B, C and D were reconstructed by Karl algorithm with tube currents of 80mas, 60mas and 40mas respectively. The radiation dose and subjective and objective scores of the four groups were compared. SPSS210 statistical software was used for data analysis. Results: the radiation dose of group B, C and D using low dose tube current combined with karl3d iterative reconstruction technique was lower than that of group a (p < 0.05);The difference between the objective assessment (SD, SNR) and subjective score of the four groups was all p>0.05. Conclusion: The combination of low-dose iterative reconstruction technique and Karl 3D chest CT scan can obtain good images and reduce radiation dose, which is worthy of promotion in the industry.
文摘Objectives: The purpose of this study is to identify how to manage oversensing of pacemakers in chest CT. Methods: Four different models of pacemakers were examined to select the pacemaker generating oversensing. To the pacemaker with oversensing, intermittent switching X-ray was exposed using ECG-gated CT helical scan system at prospective CTA mode. IVY Model was used to synchronize the ECG. Only during in the alert period that is non-refractory and sensing is available, intermittent switching X-ray (300 msec/sec) was exposed in chest CT. For comparison, the same intermittent switching X-ray (300 msec/sec) was exposed in the refractory period when sensing was not available. Results: Oversensing was detected only in one of the four pacemakers tested. In this pacemaker, oversensing was generated by exposure of the intermittent switching X-ray in the alert (non-refractory) period, but oversensing was not observed in the refractory period. Conclusion: A pacemaker has alert and refractory periods. Oversensing of a pacemaker was found to be inhibited by selective ECG-synchronized exposure in the refractory period. Since all pacemakers have the refractory period, the results of this study can be widely applied to the patients with pacemakers in chest CT, and their chest CT can be operated safely.
文摘Chest investigation is common in hospital practice. Chest X-ray is readily available and usually the first chest investigation. Thoracic CT scan constitutes an alternative and complimentary chest investigation. It is currently the most efficient investigation for the chest and its contents. Objectives: To evaluate the relevance of chest CT Scan requests in two university teaching hospitals in Cameroon. Material and Methods: We conducted a cross-sectional, retrospective and descriptive study at the Radiology and imaging units of the Yaounde Central Hospital and the Yaounde University Teaching Hospital Centre. Included in our study were files of patients who had a chest CT scan investigation during three years. Results: We had a study population of 323 subjects. The age interval was 23 months to 91 years old. Pulmonologist were the most prescribers with 27.2%. We had 80% conformity of indications with French Society of Radiology (FSR) standards. 50 over of 323 indications were not recommended by the FSR. Conclusion: There is a conformity rate of 80% between indications and the FSR recommendations.
文摘One of the most dangerous diseases that affect people worldwide is lung cancer.The survival rate is minimal,because of the complexity in identifying lung cancer at developed stages.Henceforth,earlier detection of lung cancer is significant.Several Machine Learning(ML)approaches have been modeled for lung cancer recognition with the advent of Artificial Intelligence.However,small-scale datasets and deprived generalizability to recognize unknown data are considered challenges in lung cancer detection.This work proposes an advanced deep learning model,named Generative Adversarial Network-Attention Gated Network(GA-AGN),which is the integration of Generative Adversarial Network(GAN)and Attention Gated Network(AGN).Initially,the chest CT scan images are subjected to the pre-processing phase,where image resizing and normalization are used to preprocess the images.Then,the data augmentation is performed using the GAN model that is trained by Elk Herd Optimizer(EHO).Subsequently,lung cancer detection is done by means of GA-AGN model.Ultimately analysis is performed by using three measures,like accuracy,sensitivity as well as specificity with values of 0.938,0.948 and 0.927.The overall analysis states that the proposed model attained better outcomes than the conventional models.
基金supported by the National Science and Technology Major Project for the Prevention and Control of Emerging and Major Infectious Diseases[2025ZD01908702]Peking University Medicine Fund of Fostering Young Scholars’Scientific&Technological innovation[BMU2024YFJHP014]supported by Fundamental Research Funds for the Central Universities+1 种基金Key Clinical Projects of Peking University Third Hospital[BYSYZD2022014]Peking University Third Hospital[2025024].
文摘Objective Post tuberculosis lung disease(PTLD)manifests in various forms,including tuberculosisassociated chronic obstructive pulmonary disease(TB-COPD),yet the clinical features of PTLD remain undercharacterized.This study aimed to assess longitudinal changes in lung function over a 5-year period and to identify predictors of airflow obstruction in a cohort of patients treated for active pulmonary TB.Methods Patients with active pulmonary TB were enrolled in this study and were followed during treatment,at treatment completion and five years post-treatment.Assessments included lung function and chest CT,analyzing longitudinal trends and airflow obstruction risk factors.Results Among 53 patients(mean age 36.9±13.9 years;64.2%male),7 patients(13.2%)exhibited airflow obstruction.At the 5-year follow-up,the mean FEV_(1)/FVC declined significantly(76.27%±12.04%vs.80.23%±11.02%,P<0.001)and 9 patients(17.0%)exhibited airflow obstruction.Seven of these patients predominantly showed air trapping consistent with small airway disease on chest CT,aligning with TB-COPD phenotype.Notably,four young-to-middle-aged patients(<60 years old)had persistent obstruction over the five years.Conclusion The initial test revealed that 13.2%of patients presented with airflow obstruction.By the 5-year follow-up,this proportion had increased to 17.0%,with most cases demonstrating imaging findings aligning with TB-COPD,even among younger,non-smoking individuals.These findings emphasize the importance of long-term follow-up and routine lung function assessments in TB survivors.
文摘This study aims to estimate the lifetime attributable cancer risk (LAR) for pediatric chest computed tomography (CT) examinations in five age groups using recently published age and region-specific conversion coefficients multiplying the widely available scanner registered dose length products (DLP) displayed on the CT console and hence calculating the Effective Dose (ED). The ED is then multiplied by the International Commission on Radiological Protection (ICRP) published risk factor for LAR. The obtained LAR values are compared with the international literature. Factors that may affect the LAR value are reported and discussed. The study included one hundred twenty five chest CT examinations for both males and females aged from less than one year to fifteen years. The patients reported data are from one single medical institution and using two CT scanners from June 2022 to December 2023. The results of this study may serve as benchmark for institutional radiation dose reference levels and risk estimation.
