Objective To observe the value of intratumoral and peritumoral ROI-based CT radiomics combined with clinical and imaging features for preoperatively predicting renal capsule invasion of clear cell renal cell carcinoma(ccRCC).Methods Totally 105 ccRCC patients were retrospectively collected and divided into invasion group(n=70)and non-invasion group(n=35)according to post operation pathology,also divided into training set(n=84,including 56 cases of invasion group and 28 of non-invasion group)and test set(n=21,including 14 cases of invasion group and 7 of non-invasion group)at a ratio of 8∶2.A clinical-imaging model was constructed based on clinical and CT features being significantly different between groups.Radiomics features related to renal capsule invasion were extracted and selected from intratumoral and of 1-6 mm peritumoral ROI on unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)CT images,respectively.The optimal algorithm was selected among 6 machine learning algorisms based on CMP intratumoral ROI.With the optimal and selected features,single intratumoral or peritumoral models,combined intratumoral and peritumoral models within the same phase and combined pairwise models within the same range across different phases images were established.The best performing radiomics model was chosen and integrated with clinical and imaging features to form a combined model.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of model for predicting renal capsule invasion of ccRCC,which were compared using DeLong's test.Results Hypertension,presence of clinical symptoms and high enhancement degree on CMP images were all independent predicting factors for renal capsule invasion of ccRCC,which were used to establish clinical-imaging model.Support vector machine(SVM)was the optimal algorithm.CMP peritumoral 3 mm model,CMP intratumoral model,NP peritumoral 4 mm model,NP intratumoral+peritumoral 4 mm model and CMP peritumoral 3 mm+NP peritumoral 3 mm model showed higher performance than the others,with AUC being not significantly different(all P＞0.05).CMP peritumoral 3 mm model was the optimal radiomics model,with the highest AUC(0.898)in test set.The combined model demonstrated superior AUC(0.979)in training set compared to both clinical-imaging model and the optimal radiomics model alone(both P＜0.05),while in test set(AUC 0.918)showed comparable performance with the latter two(both P＞0.05).Conclusion CT-based peritumoral radiomics models were equally effective for preoperatively predicting renal capsule invasion of ccRCC.Combining with clinical and imaging features might further enhance diagnostic performance.

Objective:To investigate the prognostic factors in patients with acute myocardial infarction (AMI) who underwent interventional therapy assisted by venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This single-center retrospective cohort study enrolled AMI patients who received VA-ECMO-assisted interventional therapy in the Department of Cardiology at the Second Hospital of Jilin University from June 2018 to November 2022. Patients were divided into the in-hospital survival group and in-hospital death group based on the in-hospital survival. Data on patient demographics, laboratory tests, imaging examinations, coronary angiography results, VA-ECMO-related parameters, complications, and prognosis were collected through the electronic medical record system.Results:A total of 71 AMI patients were enrolled, with an age of (62.4±11.1) years, of whom 54 (76%) were male. There were 46 patients in the in-hospital survival group and 25 patients in the in-hospital death group. Compared to the in-hospital survival group, the in-hospital death group exhibited significantly higher levels of cardiac troponin I (36.08 (2.86, 100.00) μg/L vs. 2.75 (0.18, 13.86) μg/L, P=0.01) and B-type natriuretic peptide (1 724.50 (50.00, 4 200.50) vs. 460.85 (163.80, 1 862.33), P=0.01), and the left ventricular ejection fraction was lower ((35.0±12.9)% vs. (43.0±12.8)%, P=0.01), moreover the incidence of patients with left main coronary artery disease (80% (20/25) vs. 39% (18/46), P<0.01), cardiac arrest (56% (14/25) vs. 20% (9/46), P<0.01), cardiopulmonary resuscitation (52%(13/25) vs. 26%(12/46), P=0.03), and the time from cardiac arrest to ECMO initiation >24 hours (84% (21/25) vs. 9% (4/46), P<0.01) were higher. Conclusions:The prognosis of AMI patients undergoing VA-ECMO-assisted interventional therapy may be influenced by a number of related factors, including cardiac troponin I, B-type natriuretic peptide levels, left ventricular ejection fraction, combined with left main coronary artery disease, cardiac arrest and cardiopulmonary resuscitation, and the interval between cardiac arrest and the initiation of ECMO.

Objective To measure the three-dimensional(3D)motion of the knee joint in healthy people and patients after total knee arthroplasty(TKA).Methods The coordinate system for the tibia and femur of the knee joint was established,and the marking points were pasted at the bone landmarks.Then the 3D motion of human knee joint was measured by biplane high-speed photogrammetry,and the data were processed according to the coordinate transformation.Results The peak values of adduction and abduction,internal and external rotation,internal and external translation,and proximal and distal movement of the artificial knee joint were larger than those of the healthy knee joint(P<0.05),but there was no statitistic difference in posterior displacement between the artificial and healthy knee joints(P=0.05).Conclusions By measuring the knee joint motion,not only the difference in knee joint motion between the healthy volunteers and TKA patients was revealed,but also the effectiveness of biplane high-speed photography in knee joint kinematic measurement was demonstrated.

Objective To study the effect of medial collateral ligament(MCL)release on the squatting motion followling total knee arthroplasty(TKA)and provide reference data for ligament release during knee replacement surgery.Methods Based on CT and MRI images of a volunteer,a three-dimensional(3D)geometric anatomical model of the natural knee joint including bone tissues and major soft tissues was established.A finite element model of the artificial knee joint was established by simulating TKA surgery.The squatting motion after 30％release of the upper end,lower end,and both ends of the MCL was simulated,and motion characteristic data of the knee joint at flexion/extension angles from 0° to 135° were obtained.Results The effects of ligament release at different locations on knee squatting motion varied.After releasing the lower end,the medial translation,posterior translation,superior translation,and adduction of the femur relative to the tibia increased by 13.74％,3.83％,9.74％,and 2.37％,respectively,while the external rotation decreased by 36.8％.After releasing the upper end,the medial translation and posterior translation increased by 10.65％and 10％,respectively,while the superior translation,adduction,and external rotation decreased by 4.52％,33.89％,and 67.1％,respectively.After releasing both ends,the medial translation,posterior translation,and superior translation increased by 14.77％,9.39％,and 22.56％,respectively,while the adduction and external rotation decreased by 15.62％and 47.3％,respectively.Conclusions After MCL released,the medial translation,anterior translation,superior translation,and abduction of the femur relative to the tibia increased,while the external rotation decreased.Releasing the lower end had the least effect on these femoral movements,showing an obvious advantage.

Objective To study the effect of medial collateral ligament(MCL)release on the squatting motion followling total knee arthroplasty(TKA)and provide reference data for ligament release during knee replacement surgery.Methods Based on CT and MRI images of a volunteer,a three-dimensional(3D)geometric anatomical model of the natural knee joint including bone tissues and major soft tissues was established.A finite element model of the artificial knee joint was established by simulating TKA surgery.The squatting motion after 30％release of the upper end,lower end,and both ends of the MCL was simulated,and motion characteristic data of the knee joint at flexion/extension angles from 0° to 135° were obtained.Results The effects of ligament release at different locations on knee squatting motion varied.After releasing the lower end,the medial translation,posterior translation,superior translation,and adduction of the femur relative to the tibia increased by 13.74％,3.83％,9.74％,and 2.37％,respectively,while the external rotation decreased by 36.8％.After releasing the upper end,the medial translation and posterior translation increased by 10.65％and 10％,respectively,while the superior translation,adduction,and external rotation decreased by 4.52％,33.89％,and 67.1％,respectively.After releasing both ends,the medial translation,posterior translation,and superior translation increased by 14.77％,9.39％,and 22.56％,respectively,while the adduction and external rotation decreased by 15.62％and 47.3％,respectively.Conclusions After MCL released,the medial translation,anterior translation,superior translation,and abduction of the femur relative to the tibia increased,while the external rotation decreased.Releasing the lower end had the least effect on these femoral movements,showing an obvious advantage.

Objective To observe the value of intratumoral and peritumoral ROI-based CT radiomics combined with clinical and imaging features for preoperatively predicting renal capsule invasion of clear cell renal cell carcinoma(ccRCC).Methods Totally 105 ccRCC patients were retrospectively collected and divided into invasion group(n=70)and non-invasion group(n=35)according to post operation pathology,also divided into training set(n=84,including 56 cases of invasion group and 28 of non-invasion group)and test set(n=21,including 14 cases of invasion group and 7 of non-invasion group)at a ratio of 8∶2.A clinical-imaging model was constructed based on clinical and CT features being significantly different between groups.Radiomics features related to renal capsule invasion were extracted and selected from intratumoral and of 1-6 mm peritumoral ROI on unenhanced phase(UP),corticomedullary phase(CMP)and nephrographic phase(NP)CT images,respectively.The optimal algorithm was selected among 6 machine learning algorisms based on CMP intratumoral ROI.With the optimal and selected features,single intratumoral or peritumoral models,combined intratumoral and peritumoral models within the same phase and combined pairwise models within the same range across different phases images were established.The best performing radiomics model was chosen and integrated with clinical and imaging features to form a combined model.Receiver operating characteristic(ROC)curves were drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of model for predicting renal capsule invasion of ccRCC,which were compared using DeLong's test.Results Hypertension,presence of clinical symptoms and high enhancement degree on CMP images were all independent predicting factors for renal capsule invasion of ccRCC,which were used to establish clinical-imaging model.Support vector machine(SVM)was the optimal algorithm.CMP peritumoral 3 mm model,CMP intratumoral model,NP peritumoral 4 mm model,NP intratumoral+peritumoral 4 mm model and CMP peritumoral 3 mm+NP peritumoral 3 mm model showed higher performance than the others,with AUC being not significantly different(all P＞0.05).CMP peritumoral 3 mm model was the optimal radiomics model,with the highest AUC(0.898)in test set.The combined model demonstrated superior AUC(0.979)in training set compared to both clinical-imaging model and the optimal radiomics model alone(both P＜0.05),while in test set(AUC 0.918)showed comparable performance with the latter two(both P＞0.05).Conclusion CT-based peritumoral radiomics models were equally effective for preoperatively predicting renal capsule invasion of ccRCC.Combining with clinical and imaging features might further enhance diagnostic performance.

Objective To measure the three-dimensional(3D)motion of the knee joint in healthy people and patients after total knee arthroplasty(TKA).Methods The coordinate system for the tibia and femur of the knee joint was established,and the marking points were pasted at the bone landmarks.Then the 3D motion of human knee joint was measured by biplane high-speed photogrammetry,and the data were processed according to the coordinate transformation.Results The peak values of adduction and abduction,internal and external rotation,internal and external translation,and proximal and distal movement of the artificial knee joint were larger than those of the healthy knee joint(P<0.05),but there was no statitistic difference in posterior displacement between the artificial and healthy knee joints(P=0.05).Conclusions By measuring the knee joint motion,not only the difference in knee joint motion between the healthy volunteers and TKA patients was revealed,but also the effectiveness of biplane high-speed photography in knee joint kinematic measurement was demonstrated.

Objective:To investigate the prognostic factors in patients with acute myocardial infarction (AMI) who underwent interventional therapy assisted by venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This single-center retrospective cohort study enrolled AMI patients who received VA-ECMO-assisted interventional therapy in the Department of Cardiology at the Second Hospital of Jilin University from June 2018 to November 2022. Patients were divided into the in-hospital survival group and in-hospital death group based on the in-hospital survival. Data on patient demographics, laboratory tests, imaging examinations, coronary angiography results, VA-ECMO-related parameters, complications, and prognosis were collected through the electronic medical record system.Results:A total of 71 AMI patients were enrolled, with an age of (62.4±11.1) years, of whom 54 (76%) were male. There were 46 patients in the in-hospital survival group and 25 patients in the in-hospital death group. Compared to the in-hospital survival group, the in-hospital death group exhibited significantly higher levels of cardiac troponin I (36.08 (2.86, 100.00) μg/L vs. 2.75 (0.18, 13.86) μg/L, P=0.01) and B-type natriuretic peptide (1 724.50 (50.00, 4 200.50) vs. 460.85 (163.80, 1 862.33), P=0.01), and the left ventricular ejection fraction was lower ((35.0±12.9)% vs. (43.0±12.8)%, P=0.01), moreover the incidence of patients with left main coronary artery disease (80% (20/25) vs. 39% (18/46), P<0.01), cardiac arrest (56% (14/25) vs. 20% (9/46), P<0.01), cardiopulmonary resuscitation (52%(13/25) vs. 26%(12/46), P=0.03), and the time from cardiac arrest to ECMO initiation >24 hours (84% (21/25) vs. 9% (4/46), P<0.01) were higher. Conclusions:The prognosis of AMI patients undergoing VA-ECMO-assisted interventional therapy may be influenced by a number of related factors, including cardiac troponin I, B-type natriuretic peptide levels, left ventricular ejection fraction, combined with left main coronary artery disease, cardiac arrest and cardiopulmonary resuscitation, and the interval between cardiac arrest and the initiation of ECMO.

Objective·To verify the accuracy and clinical feasibility of fluoroscopic stereophotogrammetric analysis(FSA)technology based on two dimension(2D)-three dimension(3D)registration for early migration detection of aseptic loosening of joint prostheses.Methods·2D-3D registration algorithms centering on the light source and projected object respectively in FSA technology were verified under various working conditions through image synthesis experiments,and the feasibility of clinical application was verified through real model experiments.The image synthesis experiment established a perspective projection environment with the same parameters as the real environment in a virtual environment,the 2D perspective images of the 3D model(bone or prosthesis)during the six degrees of freedom transformation were recorded,and the six degrees of freedom transformation of the 3D model was restored by using different 2D-3D registration algorithms.The error of each registration algorithm was calculated.For real model validation,the migration between bone and prosthesis after joint replacement surgery was simulated with a high precision bone prosthesis migration simulator.The 3D model of the bone or prosthesis was reconstructed by using computed tomograph(CT)images and optical scanning,and the 2D perspective images before and after prosthesis migration were captured by using a fluoroscopy device.The migration of the prosthesis was restored by using FSA technology based on 2D-3D registration,and the error of FSA technology was calculated.Results·The accuracy of the 2D-3D registration algorithm centering on the light source was higher than that of the algorithm centering on the projected object under different working conditions.When the initial registration conditions were favorable,the algorithm centering on the light source reduced the rotation error compared to the algorithm centering on the projected object,with a statistical difference(P=0.021),and the displacement error decreases,with a significant statistical difference(P=0.000).Moreover,algorithms centering on the light sources required lower similarity and fewer registration times to meet clinical application requirements.Conclusion·The accuracy of FSA technology based on 2D-3D registration in early migration detection of artificial joint prostheses meets clinical application requirements.This technology can warn of late aseptic loosening of prostheses by detecting early migration of prostheses after joint replacement surgery,and is expected to be applied to clinical practice through further research.

BACKGROUND:Traditional scoliosis orthosis has some disadvantages,such as complex manufacturing process,long processing cycle,poor fit and so on.Three-dimensional printed scoliosis orthosis has the advantages of high manufacturing precision and personalization. OBJECTIVE:To evaluate the efficacy of three-dimensional printed scoliosis orthosis for scoliosis based on multi-criteria decision model. METHODS:Clinical data of 72 patients with scoliosis admitted to Chen Xinghai Hospital of Integrated Traditional Chinese and Western Medicine from January 2019 to October 2022 were retrospectively collected and divided into two groups according to the treatment of orthosis.Study group(n=23)received three-dimensional printed scoliosis orthosis.Traditional group(n=49)received the traditional polypropylene spine brace treatment.The clinical efficacy and complications were compared between the two groups.A multi-criteria decision model for the treatment of scoliosis with three-dimensional printed scoliosis orthosis was established,and the stability of the benefit value,risk value and decision model of the two groups were evaluated. RESULTS AND CONCLUSION:(1)Compared with the traditional group,there were significant differences in the top vertebral offset distance,Cobb angle,top vertebral rotation,Functional Movement Screen score,visual analog scale score and total effective rate in the study group at 6 months after surgery(P<0.05).(2)Among the benefit indexes,Cobb angle had the greatest impact on the condition of patients,while the risk indexes had the greatest impact on dyspnea.(3)The benefit values of the study group and the traditional group for scoliosis were 79 and 64,and the risk values were 74 and 57,respectively.The combined benefit and risk values found that the benefit-risk value of the study group was 16 higher than that of the traditional group.(4)In the range of 0-100%relative risk weight,the benefit-risk value of the study group was always higher than that of the traditional group,which proved that the multi-criteria decision-making model had good stability.(5)It is indicated that three-dimensional printed scoliosis orthosis can better restore the physiological curvature of scoliosis and improve the efficiency of treatment.