BACKGROUND Radical resection offers the only hope for the long-term survival of patients with gallbladder carcinoma(GBC)above the T1b stage.However,whether it should be performed under laparoscopy for GBC is still con...BACKGROUND Radical resection offers the only hope for the long-term survival of patients with gallbladder carcinoma(GBC)above the T1b stage.However,whether it should be performed under laparoscopy for GBC is still controversial.AIM To compare laparoscopic radical resection(LRR)with traditional open radical resection(ORR)in managing GBC.METHODS A comprehensive search of online databases,including Medline(PubMed),Cochrane Library,and Web of Science,was conducted to identify comparative studies involving LRR and ORR in GBCs till March 2023.A meta-analysis was subsequently performed.RESULTS A total of 18 retrospective studies were identified.In the long-term prognosis,the LRR group was comparable with the ORR group in terms of overall survival and tumor-free survival(TFS).LRR showed superiority in terms of TFS in the T2/tumor-node-metastasis(TNM)Ⅱstage subgroup vs the ORR group(P=0.04).In the short-term prognosis,the LRR group had superiority over the ORR group in the postoperative length of stay(POLS)(P<0.001).The sensitivity analysis showed that all pooled results were robust.CONCLUSION The meta-analysis results show that LRR is not inferior to ORR in all measured outcomes and is even superior in the TFS of patients with stage T2/TNMⅡdisease and POLS.Surgeons with sufficient laparoscopic experience can perform LRR as an alternative surgical strategy to ORR.展开更多
Originally proposed by John McCarthy in 1955,artificial intelligence(AI)has achieved a breakthrough and revolutionized the processing methods of clinical medicine with the increasing workloads of medical records and d...Originally proposed by John McCarthy in 1955,artificial intelligence(AI)has achieved a breakthrough and revolutionized the processing methods of clinical medicine with the increasing workloads of medical records and digital images.Doctors are paying attention to AI technologies for various diseases in the fields of gastroenterology and hepatology.This review will illustrate AI technology procedures for medical image analysis,including data processing,model establishment,and model validation.Furthermore,we will summarize AI applications in endoscopy,radiology,and pathology,such as detecting and evaluating lesions,facilitating treatment,and predicting treatment response and prognosis with excellent model performance.The current challenges for AI in clinical application include potential inherent bias in retrospective studies that requires larger samples for validation,ethics and legal concerns,and the incomprehensibility of the output results.Therefore,doctors and researchers should cooperate to address the current challenges and carry out further investigations to develop more accurate AI tools for improved clinical applications.展开更多
文摘BACKGROUND Radical resection offers the only hope for the long-term survival of patients with gallbladder carcinoma(GBC)above the T1b stage.However,whether it should be performed under laparoscopy for GBC is still controversial.AIM To compare laparoscopic radical resection(LRR)with traditional open radical resection(ORR)in managing GBC.METHODS A comprehensive search of online databases,including Medline(PubMed),Cochrane Library,and Web of Science,was conducted to identify comparative studies involving LRR and ORR in GBCs till March 2023.A meta-analysis was subsequently performed.RESULTS A total of 18 retrospective studies were identified.In the long-term prognosis,the LRR group was comparable with the ORR group in terms of overall survival and tumor-free survival(TFS).LRR showed superiority in terms of TFS in the T2/tumor-node-metastasis(TNM)Ⅱstage subgroup vs the ORR group(P=0.04).In the short-term prognosis,the LRR group had superiority over the ORR group in the postoperative length of stay(POLS)(P<0.001).The sensitivity analysis showed that all pooled results were robust.CONCLUSION The meta-analysis results show that LRR is not inferior to ORR in all measured outcomes and is even superior in the TFS of patients with stage T2/TNMⅡdisease and POLS.Surgeons with sufficient laparoscopic experience can perform LRR as an alternative surgical strategy to ORR.
基金Zhejiang Medical and Health Science and Technology Project,No.2019321842National Natural Science Foundation of China,No.81827804Zhejiang Clinical Research Center of Minimally Invasive Diagnosis and Treatment of Abdominal Diseases,No.2018E50003.
文摘Originally proposed by John McCarthy in 1955,artificial intelligence(AI)has achieved a breakthrough and revolutionized the processing methods of clinical medicine with the increasing workloads of medical records and digital images.Doctors are paying attention to AI technologies for various diseases in the fields of gastroenterology and hepatology.This review will illustrate AI technology procedures for medical image analysis,including data processing,model establishment,and model validation.Furthermore,we will summarize AI applications in endoscopy,radiology,and pathology,such as detecting and evaluating lesions,facilitating treatment,and predicting treatment response and prognosis with excellent model performance.The current challenges for AI in clinical application include potential inherent bias in retrospective studies that requires larger samples for validation,ethics and legal concerns,and the incomprehensibility of the output results.Therefore,doctors and researchers should cooperate to address the current challenges and carry out further investigations to develop more accurate AI tools for improved clinical applications.
