This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

OBJECTIVE: To compare the biomechanical properties of personalized Y-shaped plates with horizontal plates, vertical plates, and traditional Y-shaped plates in the treatment of distal humeral intra-articular fractures through finite element analysis, and to evaluate their potential for clinical application. METHODS: The study selected a 38-year-old male volunteer and obtained a three-dimensional model of the humerus by scanning his upper limbs using a 64-slice spiral CT. Four types of fracture-internal fixation models were constructed using Mimics 19.0, Geomagic Wrap 2017, Creo 6.0, and other software: horizontal plates, vertical plates, traditional Y-shaped plate, and personalized Y-shaped plate. The models were then meshed using Hypermesh 14.0 software, and material properties and boundary conditions were defined in Abaqus 6.14 software. AnyBody 7.3 software was used to simulate elbow flexion and extension movements, calculate muscle strength, joint forces, and load torques, and compare the peak stress and maximum displacement of the four fixation methods at different motion angles (10°, 30°, 50°, 70°, 90°, 110°, 130°, 150°) during elbow flexion and extension. RESULTS: Under dynamic loading during elbow flexion and extension, the personalized Y-shaped plate exhibits significant biomechanical advantages. During elbow flexion, the peak internal fixation stress of the personalized Y-shaped plate was (28.8±0.9) MPa, which was significantly lower than that of the horizontal plates, vertical plates, and traditional Y-shaped plate ( P<0.05). During elbow extension, the peak internal fixation stress of the personalized Y-shaped plate was (18.1±1.6) MPa, which was lower than those of the other three models, with significant differences when compared with horizontal plates and vertical plates ( P<0.05). Regarding the peak humeral stress, the personalized Y-shaped plate model showed mean values of (10.9±0.8) and (13.1±1.4) MPa during elbow flexion and extension, respectively, which were significantly lower than those of the other three models ( P<0.05). Displacement analysis showed that the maximum displacement of the humerus with the personalized Y-shaped plate during elbow flexion was (2.03±0.08) mm, slightly higher than that of the horizontal plates, but significantly lower than that of the vertical plates, showing significant differences ( P<0.05). During elbow extension, the maximum displacement of the humerus with the personalized Y-shaped plate was (1.93±0.13) mm, which was lower than that of the other three models, with significant differences when compared with vertical plates and traditional Y-shaped plates ( P<0.05). Stress contour analysis showed that the stress of the personalized Y-shaped plate was primarily concentrated at the bifurcation of the Y-shaped structure. Displacement contour analysis showed that the personalized Y-shaped plate effectively controlled the displacement of the distal humerus during both flexion and extension, demonstrating excellent stability. CONCLUSION The personalized Y-shaped plate demonstrates excellent biomechanical performance in the treatment of distal humeral intra-articular fractures, with lower stress and displacement, providing more stable fixation effects.
Humans ; Male ; Adult ; Healthy Volunteers ; Finite Element Analysis ; Tomography, Spiral Computed ; Models, Anatomic ; Biomechanical Phenomena ; Humeral Fractures, Distal/surgery* ; Fracture Fixation, Internal/instrumentation* ; Bone Plates ; Computer Simulation ; Precision Medicine/methods* ; Elbow Joint/surgery* ; Elbow/surgery* ; Humerus/surgery* ; Torque ; Stress, Mechanical ; Intra-Articular Fractures/surgery* ; Prosthesis Design/methods* ; Imaging, Three-Dimensional ; Range of Motion, Articular

Objective:To investigate the prognostic impact of perineural invasion in patients with stageⅢ colon cancer and to clarify its guidance value for the duration of postoperative adjuvant chemotherapy.Methods:This study employed a retrospective cohort study method. It analyzed 426 patients with stageⅢ colon cancer who underwent radical surgery at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, between April 2008 and June 2020. Inclusion criteria: patients received at least 3 months of adjuvant CapeOX therapy post-surgery, had complete pathological data, and were followed up for at least 12 months after the last chemotherapy. Among these patients, 231 were male, the median age was 59 (50~67) years, and 263 tumors were located in the right-sided colon. Postoperative pathology indicated that 107 cases (25.12%) had neural invasion, and 131 patients (30.75%) had vascular tumor thrombus. All patients received at least 4 cycles of postoperative CapeOX adjuvant chemotherapy, with 193 patients receiving 8 cycles and 233 patients receiving 4 to 7 cycles of adjuvant chemotherapy. The study analyzed the impact of neural invasion status and the duration of adjuvant chemotherapy on disease-free survival (DFS). Furthermore, within subgroups stratified by different risk levels (referencing the criteria proposed by the IDEA study: high risk: T4, N2 or T4N2; low risk: T3N1) and different neural invasion statuses, the impact of the duration of adjuvant chemotherapy on prognosis was analyzed.Results:The median follow-up time for the entire cohort was 94.00 months (55.27-128.80 months). Multivariate Cox analysis indicated that pathological T stage T4 (HR = 2.457, 95%CI: 1.499-4.029, P<0.001) and postoperative pathological confirmation of perineural invasion (HR = 2.465, 95% CI: 1.519-4.000, P<0.001) were independent adverse prognostic factors for 5-year DFS. In the perineural invasion-positive group, the 5-year DFS for patients who received 8 cycles of postoperative adjuvant CapeOX chemotherapy was 86.90%, compared to 58.22% for those who received 4-7 cycles, with statistically significant differences (both P<0.05). In the perineural invasion-negative group, the 5-year DFS for patients who received 8 cycles was 88.66%, compared to 90.99% for those who received 4-7 cycles, with no statistically significant differences ( P=0.929). Among IDEA high-risk patients with perineural invasion, the 5-year DFS was 91.81% for those who received 8 cycles versus 50.66% for those who received 4-7 cycles, showing a statistically significant difference ( P=0.003). In IDEA high-risk patients without perineural invasion, the 5-year DFS for those who received 8 cycles was 82.28% compared to 87.32% for those who received 4-7 cycles, with no statistically significant difference ( P=0.806). In the IDEA low-risk patients, no differences were observed in the 5-year DFS between patients receiving 8 cycles and those receiving 4-7 cycles of adjuvant CapeOX chemotherapy in both perineural invasion-positive and negative subgroups (both P>0.05). Conclusion:Perineural invasion serves as a significant prognostic factor for 5-year DFS in stage Ⅲ colon cancer patients who have undergone radical surgery and postoperative adjuvant chemotherapy. It can also be considered an important reference factor in deciding the duration of postoperative adjuvant chemotherapy.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To investigate the prognostic impact of perineural invasion in patients with stageⅢ colon cancer and to clarify its guidance value for the duration of postoperative adjuvant chemotherapy.Methods:This study employed a retrospective cohort study method. It analyzed 426 patients with stageⅢ colon cancer who underwent radical surgery at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, between April 2008 and June 2020. Inclusion criteria: patients received at least 3 months of adjuvant CapeOX therapy post-surgery, had complete pathological data, and were followed up for at least 12 months after the last chemotherapy. Among these patients, 231 were male, the median age was 59 (50~67) years, and 263 tumors were located in the right-sided colon. Postoperative pathology indicated that 107 cases (25.12%) had neural invasion, and 131 patients (30.75%) had vascular tumor thrombus. All patients received at least 4 cycles of postoperative CapeOX adjuvant chemotherapy, with 193 patients receiving 8 cycles and 233 patients receiving 4 to 7 cycles of adjuvant chemotherapy. The study analyzed the impact of neural invasion status and the duration of adjuvant chemotherapy on disease-free survival (DFS). Furthermore, within subgroups stratified by different risk levels (referencing the criteria proposed by the IDEA study: high risk: T4, N2 or T4N2; low risk: T3N1) and different neural invasion statuses, the impact of the duration of adjuvant chemotherapy on prognosis was analyzed.Results:The median follow-up time for the entire cohort was 94.00 months (55.27-128.80 months). Multivariate Cox analysis indicated that pathological T stage T4 (HR = 2.457, 95%CI: 1.499-4.029, P<0.001) and postoperative pathological confirmation of perineural invasion (HR = 2.465, 95% CI: 1.519-4.000, P<0.001) were independent adverse prognostic factors for 5-year DFS. In the perineural invasion-positive group, the 5-year DFS for patients who received 8 cycles of postoperative adjuvant CapeOX chemotherapy was 86.90%, compared to 58.22% for those who received 4-7 cycles, with statistically significant differences (both P<0.05). In the perineural invasion-negative group, the 5-year DFS for patients who received 8 cycles was 88.66%, compared to 90.99% for those who received 4-7 cycles, with no statistically significant differences ( P=0.929). Among IDEA high-risk patients with perineural invasion, the 5-year DFS was 91.81% for those who received 8 cycles versus 50.66% for those who received 4-7 cycles, showing a statistically significant difference ( P=0.003). In IDEA high-risk patients without perineural invasion, the 5-year DFS for those who received 8 cycles was 82.28% compared to 87.32% for those who received 4-7 cycles, with no statistically significant difference ( P=0.806). In the IDEA low-risk patients, no differences were observed in the 5-year DFS between patients receiving 8 cycles and those receiving 4-7 cycles of adjuvant CapeOX chemotherapy in both perineural invasion-positive and negative subgroups (both P>0.05). Conclusion:Perineural invasion serves as a significant prognostic factor for 5-year DFS in stage Ⅲ colon cancer patients who have undergone radical surgery and postoperative adjuvant chemotherapy. It can also be considered an important reference factor in deciding the duration of postoperative adjuvant chemotherapy.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Objective::To explore the approach of minimally invasive transthoracic intramyocardial cellular transplantation under echocardiographic guidance to promote ischemic myocardial repair in a preclinical big-animal study.Methods::Female Guangxi Bama miniature pigs (weight: 25–30 kg) were randomly allocated into the sham group, untreated myocardial infarction (MI) group (MI group), the MI and surgical intramyocardial injection (SIM) group (MI-SIM group), and the MI and transthoracic echocardiography-guided percutaneous intramyocardial injection (TTEPIM) group (MI-TTEPIM group) ( n = 4 each) using a lottery method. A swine MI model was established in the 3 groups excluding the sham group, and human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CM) labeled with the herpes simplex virus type-1 thymidine kinase reporter gene (hiPS-CM TK+) were transplanted by SIM in MI-SIM group and TTEPIM in MI-TTEPIM group. The operation time, postoperative recovery time of animals and volume of blood loss were collected for comparison between MI-SIM group and MI-TTEPIM group. 9-(4-[ 18F] fluoro-3-(hydroxymethyl) butyl) guanine positron emission tomography/computed tomography imaging was performed to track the hiPS-CM TK+in vivo. Cardiac function and morphology were evaluated by echocardiography. Results::The operation time and postoperative recovery time of MI-TTEPIM group were significantly shorter than those of MI-SIM group ((28.3 ± 3.6) min vs. (97.0 ± 6.7) min, P < 0.001; (1.3 ± 0.3) d vs. (7.5 ± 0.9) d, P < 0.001). MI-TTEPIM also showed significantly lesser volume of blood loss during cell transplantation than MI-SIM group ((4.3 ± 0.8) mL vs. (47.0 ± 4.1) mL, P < 0.001). The transplanted cells could be traced more accurately in vivo in MI-TTEPIM than in MI-SIM. The circumferential strain of intervention region in the MI-TTEPIM group (–25.07% ± 0.27%) was significantly higher than that of the MI-SIM (–20.39% ± 0.67%) and MI groups (–19.68% ± 0.67%), respectively ( P < 0.01). Conclusion::A minimally invasive TTEPIM protocol with stem cells for treating the ischemic myocardium was established in this study. Transplantation of hiPS-CM TK+ with this method could promote the recovery of the circumferential strain of the ischemic myocardium. The findings of this study lay a foundation for the clinical transformation of this auxiliary means of treatment in the future.

Objective::To explore the approach of minimally invasive transthoracic intramyocardial cellular transplantation under echocardiographic guidance to promote ischemic myocardial repair in a preclinical big-animal study.Methods::Female Guangxi Bama miniature pigs (weight: 25–30 kg) were randomly allocated into the sham group, untreated myocardial infarction (MI) group (MI group), the MI and surgical intramyocardial injection (SIM) group (MI-SIM group), and the MI and transthoracic echocardiography-guided percutaneous intramyocardial injection (TTEPIM) group (MI-TTEPIM group) ( n = 4 each) using a lottery method. A swine MI model was established in the 3 groups excluding the sham group, and human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CM) labeled with the herpes simplex virus type-1 thymidine kinase reporter gene (hiPS-CM TK+) were transplanted by SIM in MI-SIM group and TTEPIM in MI-TTEPIM group. The operation time, postoperative recovery time of animals and volume of blood loss were collected for comparison between MI-SIM group and MI-TTEPIM group. 9-(4-[ 18F] fluoro-3-(hydroxymethyl) butyl) guanine positron emission tomography/computed tomography imaging was performed to track the hiPS-CM TK+in vivo. Cardiac function and morphology were evaluated by echocardiography. Results::The operation time and postoperative recovery time of MI-TTEPIM group were significantly shorter than those of MI-SIM group ((28.3 ± 3.6) min vs. (97.0 ± 6.7) min, P < 0.001; (1.3 ± 0.3) d vs. (7.5 ± 0.9) d, P < 0.001). MI-TTEPIM also showed significantly lesser volume of blood loss during cell transplantation than MI-SIM group ((4.3 ± 0.8) mL vs. (47.0 ± 4.1) mL, P < 0.001). The transplanted cells could be traced more accurately in vivo in MI-TTEPIM than in MI-SIM. The circumferential strain of intervention region in the MI-TTEPIM group (–25.07% ± 0.27%) was significantly higher than that of the MI-SIM (–20.39% ± 0.67%) and MI groups (–19.68% ± 0.67%), respectively ( P < 0.01). Conclusion::A minimally invasive TTEPIM protocol with stem cells for treating the ischemic myocardium was established in this study. Transplantation of hiPS-CM TK+ with this method could promote the recovery of the circumferential strain of the ischemic myocardium. The findings of this study lay a foundation for the clinical transformation of this auxiliary means of treatment in the future.

Urolithiasis is a common and complex disease of the urinary system, which can cause urinary tract blockage, urinary tract infection, and even damage to urinary system-related tissues. Although urolithiasis can be cured, its high recurrence rate and the development of chronic kidney disease in some patients have drawn the attention of nephrologists. Although the application of extracorporeal lithotripsy, percutaneous nephrolithotomy and other minimally invasive techniques have made the treatment of urolithiasis more efficient, pharmacotherapy plays an indispensable role in reducing their morbidity and recurrence rates. Traditional Chinese medicine (TCM) has been used for treatment and prevention of urolithiasis in developing countries for centuries, known for its unquestionable efficacy and safety. This article reviews the progress of clinical trials and pharmacological studies on the treatment of urolithiasis with Chinese herbal medicines (CHMs). The mechanism of CHMs in the treatment of urolithiasis mainly involve preventing further growth and aggregation of urolithiasis, reducing the PH of urine, promoting calculus dissolution. Furthermore, some CHMs can increase urine output, relax smooth muscles, and promote the removal of calculus. These findings provide new treatment strategies and options for urolithiasis and secondary kidney damage.