An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

OBJECTIVE To systematically evaluate the efficacy and safety of different chemotherapy combination regimens for first-line treatment of metastatic colorectal cancer （mCRC）. METHODS PubMed， Cochrane Library， Embase and Web of Science were electronically searched to collect randomized controlled clinical trial （RCT） on first-line treatment for mCRC from January 1， 2000 to February 16， 2025. Two reviewers independently screened literature， extracted data and assessed the risk of bias of the included studies. Network meta-analysis was performed by using R4.4.3 and Stata 17.0 software. RESULTS A total of 28 RCTs， involving 16 intervention measures， were included. In terms of prolonging progression-free survival （PFS） and overall survival （OS）， FOLFOX （5-fluorouracil+oxaliplatin+calcium folinate regimen）+cetuximab had the highest probability of ranking first. In terms of improving objective response rate （ORR）， FOLFOXIRI （5-fluorouracil+oxaliplatin+irinotecan+calcium folinate regimen）+ bevacizumab and FOLFOX+bevacizumab+nivolumab had the highest probability of ranking first； in terms of the incidence of grade 3 or higher adverse reactions， FOLFOXIRI+panitumumab had the highest probability of ranking first； in subgroup analysis of KRAS wild-type patients， FOLFIRI （5-fluorouracil+irinotecan+calcium folinate regimen）+panitumumab and FOLFIRI+bevacizumab had the highest probability of ranking first in terms of prolonging PFS and OS， respectively； in terms of ORR， FOLFOXIRI+ cetuximab had the highest probability of ranking first. CONCLUSIONS In first-line treatment for mCRC， FOLFOX combined with targeted therapy has advantages in terms of efficacy and safety. However， individualized treatment strategies should be formulated based on the KRAS gene status and tumor location of patients.

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

OBJECTIVE To evaluate the quality of Euscaphis japonica from different habitats. METHODS The relative correction factors of gallic acid， protocatechuic acid， ellagic acid， isoquercitrin， astragalin and apigenin were calculated with quercetin as the internal reference； the relative correction factors of euscaphic acid， oleanolic acid， stigmasterol and β-sitosterol were also calculated with ursolic acid as the internal reference. The contents of 12 components in 18 batches of samples were calculated by QAMS method and were compared with external standard method. At the same time， the contents of water-soluble extract， alcohol-soluble extract， total ash and acid-insoluble ash were detected. The quality of E. japonica was evaluated by principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and weighted technique for order preference by similarity to ideal solution （TOPSIS） method. RESULTS There was no significant difference between the results of QAMS method and external standard method for the 12 components in the 18 batches of samples. However， notable content variations were observed among different batches of samples. The results of PCA and OPLS-DA showed that S1-S7， S8- S12， and S13-S18 were clustered into one category respectively. Seven key characteristic components variable importance in projection values ＞1， euscaphic acid， ursolic acid， protocatechuic acid， apigenin， β-sitosterol， isoquercitrin， and oleanolic acid， respectively. The analysis results of the weighted TOPSIS method revealed that the relative closeness for evaluating the quality of 18 batches of samples ranged from 0.283 5 to 0.644 1， with the samples of E. japonica from Fengjie， Chongqing， demonstrating the highest quality. CONCLUSIONS The established method is accurate and feasible， which can be used for the quality evaluation of E. japonica combined with chemometrics and weighted TOPSIS model.

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.

Objective To observe the ultrasonic manifestations of local recurrence(LR)of breast cancer after surgery.Methods Totally 82 female breast cancer patients with local hypoechoic in surgical area who underwent ultrasound follow-up were enrolled and divided into LR group(n=18)and non LR group(n=64)according to the local hypoechoic was LR or not.Clinical data and ultrasonic manifestations of primary lesion before operation and postoperative local hypoechoic were observed and compared between groups.Results Significant differences of surgical resection type,molecular subtype,status of smooth muscle actin,Calponin status,Ki-67 status,clinical staging,the maximum diameter and posterior echo of the primary lesion,as well as of involved tissue layer,location,long axis parallel to the skin or not,edge,internal echo,posterior echo,skin change and Adler blood flow grading of local hypoechoic in resection area were found between groups(all P＜0.05).Conclusion Ultrasonic manifestations of LR of breast cancer after surgery had certain characteristics.

Objective To observe the ultrasonic manifestations of local recurrence(LR)of breast cancer after surgery.Methods Totally 82 female breast cancer patients with local hypoechoic in surgical area who underwent ultrasound follow-up were enrolled and divided into LR group(n=18)and non LR group(n=64)according to the local hypoechoic was LR or not.Clinical data and ultrasonic manifestations of primary lesion before operation and postoperative local hypoechoic were observed and compared between groups.Results Significant differences of surgical resection type,molecular subtype,status of smooth muscle actin,Calponin status,Ki-67 status,clinical staging,the maximum diameter and posterior echo of the primary lesion,as well as of involved tissue layer,location,long axis parallel to the skin or not,edge,internal echo,posterior echo,skin change and Adler blood flow grading of local hypoechoic in resection area were found between groups(all P＜0.05).Conclusion Ultrasonic manifestations of LR of breast cancer after surgery had certain characteristics.

An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

Objective:To investigate the clinical effect of 3D printing combined with O-arm navigation assisted posterior hemivertebrae resection and orthopedic fixation in the treatment of congenital cervicothoracic scoliosis.Methods:A retrospective study was conducted on the clinical data of 14 patients with congenital cervicothoracic kyphosis caused by hemivertebra treated in Henan Provincial People's Hospital from January 2015 to June 2021, including 9 males and 5 females, aged 8.9±3.2 years (range, 1-15 years). Operation time, intraoperative blood loss and fusion stage were recorded. Intraoperative O-arm scanning and postoperative CT scanning were performed to evaluate the accuracy of nail placement. The cervicothoracic scoliosis Cobb angle, compensatory scoliosis Cobb angle, local kyphosis Cobb angle, torticollis angle, T 1 tilt angle and clavicular angle were measured before operation, model design, 1 week after operation and at the last follow-up to evaluate the effect of surgical design, intraoperative orthosis and the correction loss at follow-up. The Society for Scoliosis Research-22 (SRS-22) questionnaire was used to evaluate the functional and treatment effect. At the last follow-up, the osteotomy fusion was evaluated by Eck criterion. Results:All patients successfully completed the operation, the operation time was 228.5±41.8 min, the intraoperative blood loss was 355.6±46.7 ml, and the number of fusion segments was 5.5±0.8. Follow-up duration was 35.5±13.2 months. A total of 140 pedicle screws were inserted, with an accuracy of 97.1% (136/140). The Cobb angle of cervicothoracic scoliosis was 53.9°±17.9° preoperatively, 11.3°±4.4° in the model design, 10.8°±2.6° one week postoperatively, and 14.5°±3.5° at the last follow-up, with statistical significance ( P<0.001). The preoperative and postoperative one week difference was statistically significant ( P<0.001) with a correction rate of 78.6%±6.7%. The Cobb angle of compensatory scoliosis was 33.1°±12.1° before surgery, 11.9°±2.4° for model design, 10.5°±3.4° for one week after surgery, and 14.1°±2.5° for the last follow-up, with statistically significant differences ( P<0.001). The postoperative correction rate was 65.2%±16.2%. The Cobb angle of local kyphosis was 27.8°±9.8° preoperatively, 10.1°±2.1° in the model design, 9.8°±1.9° one week postoperatively, and 12.7°±1.6° at the last follow-up, with statistical significance ( P<0.001). The preoperative and postoperative one week difference was statistically significant ( P<0.001) with a correction rate of 59.2%±18.9%. The preoperative and postoperative one week difference was statistically significant ( P<0.001) with a correction rate of 78.6%±6.7%. The neck tilt angle was 20.6°±6.7° preoperatively, 6.2°±1.9° in the model design, 5.9°±2.1° one week postoperatively, and 7.1°±1.4° at the last follow-up, with statistical significance ( P<0.001). The preoperative and postoperative one week difference was statistically significant ( P<0.001) with a correction rate of 70.0%±11.1%. The T 1 inclination angle was 20.2°±5.8° preoperatively, 11.5°±3.1° in the model design, 10.2°±2.3° one week postoperatively, and 9.5°±3.0° at the last follow-up, with statistical significance ( P<0.001). The preoperative and postoperative one week difference was statistically significant ( P<0.001) with a correction rate of 53.2%±10.4%. There was no significant difference between preoperative design and actual measurement one week after surgery ( P>0.05). At the last follow-up, the scores of self-image (4.6±0.7), mental health (4.7±0.6) and treatment satisfaction (4.6±0.6)in SRS-22 scale were significantly improved compared with those before operation ( P<0.05). The symptoms of hemivertebra ipilateral C 8 nerve root injury occurred in 1 patient, who was treated conservatively with dehydration, hormones and nutraceutical drugs, and recovered to normal at 3 months follow-up. At the last follow-up, the appearance of the head, neck and shoulders of the patients was improved compared with that before surgery, the bone grafts have achieved osseous fusion in all patients. All fusion were grade I by Eck criterion. No complications such as serious neurological or vascular injury occurred during perioperative period. No pseudoarthrosis formation, internal fixation loosening or fracture occurred during follow-up. Conclusion:The application of 3D printing combined with O-arm navigation assistance technology in posterior hemivertebra resection and correctional surgery for cervicothoracic hemivertebra deformities can display the deformities in advance, stereoscopic and real-time, accurately place pedicle screws and complete hemivertebra resection, improve surgical safety and deformity correction rate.