Objective To systematically evaluate the risk prediction model of anastomotic fistula after radical resection of esophageal cancer, and to provide objective basis for selecting a suitable model. Methods A comprehensive search was conducted on Chinese and English databases including CNKI, Wanfang, VIP, CBM, PubMed, EMbase, Web of Science, The Cochrane Library for relevant studies on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer from inception to April 30, 2023. Two researchers independently screened literatures and extracted data information. PROBAST tool was used to assess the risk of bias and applicability of included literatures. Meta-analysis was performed on the predictive value of common predictors in the model with RevMan 5.3 software. Results A total of 18 studies were included, including 11 Chinese literatures and 7 English literatures. The area under the curve (AUC) of the prediction models ranged from 0.68 to 0.954, and the AUC of 10 models was >0.8, indicating that the prediction performance was good, but the risk of bias in the included studies was high, mainly in the field of research design and data analysis. The results of the meta-analysis on common predictors showed that age, history of hypertension, history of diabetes, C-reactive protein, history of preoperative chemotherapy, hypoproteinemia, peripheral vascular disease, pulmonary infection, and calcification of gastric omental vascular branches are effective predictors for the occurrence of anastomotic leakage after radical surgery for esophageal cancer (P<0.05). Conclusion The study on the risk prediction model of anastomotic fistula after radical resection of esophageal cancer is still in the development stage. Future studies can refer to the common predictors summarized by this study, and select appropriate methods to develop and verify the anastomotic fistula prediction model in combination with clinical practice, so as to provide targeted preventive measures for patients with high-risk anastomotic fistula as soon as possible.

Objective To analyze white matter hyperintensities(WMH)and 11C-CFT PET/CT characteristics in patients with PD,and explore their relationship.Methods A total of 84 PD pa-tients admitted to our department between March 2021 and March 2025 were retrospectively en-rolled,and they were divided into young group(33 cases)and elderly group(aged＞65 years,51 cases)and also into non-WMH group(22 cases)and WMH group(62 cases)based on the severity of WMH.The degree of white matter lesions was scored,including periventricular white matter hyperintense(PVH)score and deep white matter hyperintense(DWMH)score.All patients un-derwent head MRI and 11C-CFT-PET/CT scanning.The T/N value and asymmetry index were calculated.Results The elderly PD patients exhibited significantly advanced age and higher H-Y stages,but lower T/N values of affected side of caudate nucleus,contralateral caudate nucleus,affected side of anterior putamen,contralateral anterior putamen and contralateral posterior puta-men,and posterior putamen asymmetry index than the young patients(P＜0.05,P＜0.01).Simi-lar results were observed in the WMH group when compared with the non-WMH group(P＜0.05,P＜0.01).The PVH score was negatively correlated with the T/N values of affected side of caudate nucleus(r=-0.282,P=0.009),contralateral caudate nucleus(r=-0.215,P=0.049),affected side of anterior putamen(r=-0.249,P=0.022),contralateral anterior putamen(r=-0.280,P=0.010)and contralateral posterior putamen(r=-0.285,P=0.009),and DWMH score was also negatively correlated with the T/N values in the affected side of caudate nucleus and affected side of anterior putamen(P＜0.05).Conclusion Both age and disease severity impact WMH and dopaminergic system in PD patients.A higher WMH load is associated with dopamin-ergic neuronal damage.

The accuracy of medical imaging diagnosis will directly impact the clinical forensic evaluation's scientific validity and objectivity.This study systematically analyzed the primary causes of misdiagnosis and missed diagnosis in imaging examinations,focusing on representative cases,including rib fractures,traumatic subarachnoid hemorrhage,joint injuries with ligament damage,nasal fractures,congenital skeletal variations,and epiphyseal injuries.Key contributing factors encompassed limitation of imaging technologies,the insufficient interpretive experience of examiners,the complexity of injury mechanisms,and inadequate post-traumatic dynamic imaging follow-up.To address these issues,improvement strategies are proposed,which were establishing standardized imaging review protocols,implementing multimodal imaging approaches,rigorous evaluation of original imaging data,and enhancing professional knowledge regarding anatomical variations and injury differentiation.These measures aim to elevate the quality of forensic imaging diagnosis,providing more precise and reliable strategies for forensic clinical identifications.

The accuracy of medical imaging diagnosis will directly impact the clinical forensic evaluation's scientific validity and objectivity.This study systematically analyzed the primary causes of misdiagnosis and missed diagnosis in imaging examinations,focusing on representative cases,including rib fractures,traumatic subarachnoid hemorrhage,joint injuries with ligament damage,nasal fractures,congenital skeletal variations,and epiphyseal injuries.Key contributing factors encompassed limitation of imaging technologies,the insufficient interpretive experience of examiners,the complexity of injury mechanisms,and inadequate post-traumatic dynamic imaging follow-up.To address these issues,improvement strategies are proposed,which were establishing standardized imaging review protocols,implementing multimodal imaging approaches,rigorous evaluation of original imaging data,and enhancing professional knowledge regarding anatomical variations and injury differentiation.These measures aim to elevate the quality of forensic imaging diagnosis,providing more precise and reliable strategies for forensic clinical identifications.

Objective To analyze white matter hyperintensities(WMH)and 11C-CFT PET/CT characteristics in patients with PD,and explore their relationship.Methods A total of 84 PD pa-tients admitted to our department between March 2021 and March 2025 were retrospectively en-rolled,and they were divided into young group(33 cases)and elderly group(aged＞65 years,51 cases)and also into non-WMH group(22 cases)and WMH group(62 cases)based on the severity of WMH.The degree of white matter lesions was scored,including periventricular white matter hyperintense(PVH)score and deep white matter hyperintense(DWMH)score.All patients un-derwent head MRI and 11C-CFT-PET/CT scanning.The T/N value and asymmetry index were calculated.Results The elderly PD patients exhibited significantly advanced age and higher H-Y stages,but lower T/N values of affected side of caudate nucleus,contralateral caudate nucleus,affected side of anterior putamen,contralateral anterior putamen and contralateral posterior puta-men,and posterior putamen asymmetry index than the young patients(P＜0.05,P＜0.01).Simi-lar results were observed in the WMH group when compared with the non-WMH group(P＜0.05,P＜0.01).The PVH score was negatively correlated with the T/N values of affected side of caudate nucleus(r=-0.282,P=0.009),contralateral caudate nucleus(r=-0.215,P=0.049),affected side of anterior putamen(r=-0.249,P=0.022),contralateral anterior putamen(r=-0.280,P=0.010)and contralateral posterior putamen(r=-0.285,P=0.009),and DWMH score was also negatively correlated with the T/N values in the affected side of caudate nucleus and affected side of anterior putamen(P＜0.05).Conclusion Both age and disease severity impact WMH and dopaminergic system in PD patients.A higher WMH load is associated with dopamin-ergic neuronal damage.