Erfan Arabpour, Amir Sadeghi, Reyhaneh Rastegar, Parvaneh Mohammadi, Seyed Amir Ahmad Safavi-Naini, Pardis Ketabi Moghadam, Mohammad Reza Zali
Background: Despite advances in understanding the risk factors of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP), this adverse event remains frequently unpredictable. This study aims to develop a machine learning (ML) model to predict PEP risk.
Methods: Data were collected from a prospective ERCP registry on patients with naïve papilla who underwent ERCP between 2022 and 2024. CatBoost and eXtreme Gradient Boosting algorithms were trained to estimate PEP risk and the performance of the resulting models was assessed using the area under the receiver operating characteristic (AUC) with 10-fold cross-validation.
Results: Of 1330 screened patients, 1190 met the inclusion criteria, and 170 (14.3%) developed PEP. The best-performing algorithm was CatBoost, which consisted of eight features: age, sex, normal papilla morphology, pancreatic duct cannulation, difficult cannulation, abnormal bilirubin levels, common bile duct diameter, and successful stone extraction. This model achieved an AUC of 68.8% (70.4% sensitivity, 67.2% specificity, 26.5% positive predictive value, and 92.0% negative predictive value). The CatBoost model effectively stratified patients into low-, intermediate-, and high-risk groups, with corresponding PEP incidences of 5.7%, 21.0%, and 40.0%, respectively.
Conclusions: ML is highly promising for prediction of PEP. Future studies should focus on multicenter data, inclusion of multimodal data, severity risk-stratification, and real-time application.
{"title":"Predicting Post-ERCP Pancreatitis Using Machine Learning: Risk Stratification and Feature Importance Analysis.","authors":"Erfan Arabpour, Amir Sadeghi, Reyhaneh Rastegar, Parvaneh Mohammadi, Seyed Amir Ahmad Safavi-Naini, Pardis Ketabi Moghadam, Mohammad Reza Zali","doi":"10.1002/jhbp.70053","DOIUrl":"https://doi.org/10.1002/jhbp.70053","url":null,"abstract":"<p><strong>Background: </strong>Despite advances in understanding the risk factors of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP), this adverse event remains frequently unpredictable. This study aims to develop a machine learning (ML) model to predict PEP risk.</p><p><strong>Methods: </strong>Data were collected from a prospective ERCP registry on patients with naïve papilla who underwent ERCP between 2022 and 2024. CatBoost and eXtreme Gradient Boosting algorithms were trained to estimate PEP risk and the performance of the resulting models was assessed using the area under the receiver operating characteristic (AUC) with 10-fold cross-validation.</p><p><strong>Results: </strong>Of 1330 screened patients, 1190 met the inclusion criteria, and 170 (14.3%) developed PEP. The best-performing algorithm was CatBoost, which consisted of eight features: age, sex, normal papilla morphology, pancreatic duct cannulation, difficult cannulation, abnormal bilirubin levels, common bile duct diameter, and successful stone extraction. This model achieved an AUC of 68.8% (70.4% sensitivity, 67.2% specificity, 26.5% positive predictive value, and 92.0% negative predictive value). The CatBoost model effectively stratified patients into low-, intermediate-, and high-risk groups, with corresponding PEP incidences of 5.7%, 21.0%, and 40.0%, respectively.</p><p><strong>Conclusions: </strong>ML is highly promising for prediction of PEP. Future studies should focus on multicenter data, inclusion of multimodal data, severity risk-stratification, and real-time application.</p>","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145906067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to the Comment on \"Long-Term Outcomes of Congenital Biliary Dilatation Surgery: A Single-Center Study Highlighting the High Incidence of Complications Within 5 Years\".","authors":"Takuya Maeda, Hiroo Uchida, Chiyoe Shirota","doi":"10.1002/jhbp.70060","DOIUrl":"https://doi.org/10.1002/jhbp.70060","url":null,"abstract":"","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145900735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Various guidelines recommend endoscopic stone removal for asymptomatic common bile duct stones (CBDS); however, previous studies have indicated that asymptomatic CBDS is associated with a higher incidence of post-ERCP pancreatitis (PEP). Our study aimed to compare the clinical outcomes of ERCP between elderly patients with asymptomatic and symptomatic CBDS.
Methods: Elderly patients with CBDS were divided into two groups: A (asymptomatic CBDS) and S (symptomatic CBDS). Propensity score matching was performed to reduce possible bias in the baseline characteristics between the two groups, yielding 221 matched patients. Primary outcomes included early adverse events (AEs) during ERCP, while secondary outcomes included technical success rate and late AEs.
Results: Regarding ERCP-related early AEs, the incidence of PEP was 6.3% in group A and 4.5% in group S, with no significant difference between the groups. The technical success rates were 87.8% and 84.6% in groups A and S, respectively, with no significant difference. The most common late AE was the recurrence of CBDS (11.3% in group A versus 18.6% in group S [p = 0.04]); Kaplan-Meier analysis also revealed a tendency toward a higher cumulative incidence in group S.
Conclusion: Endoscopic transpapillary stone extraction in asymptomatic elderly patients may be beneficial.
{"title":"Comparative Outcomes of Endoscopic Treatment for Symptomatic and Asymptomatic Common Bile Duct Stones in the Elderly: A Propensity Score-Based Cohort Analysis.","authors":"Kota Shimojo, Akinori Maruta, Keisuke Iwata, Yuhei Iwasa, Mitsuru Okuno, Kensaku Yoshida, Shinya Uemura, Tsuyoshi Mukai, Takuji Iwashita, Masahito Shimizu","doi":"10.1002/jhbp.70059","DOIUrl":"https://doi.org/10.1002/jhbp.70059","url":null,"abstract":"<p><strong>Introduction: </strong>Various guidelines recommend endoscopic stone removal for asymptomatic common bile duct stones (CBDS); however, previous studies have indicated that asymptomatic CBDS is associated with a higher incidence of post-ERCP pancreatitis (PEP). Our study aimed to compare the clinical outcomes of ERCP between elderly patients with asymptomatic and symptomatic CBDS.</p><p><strong>Methods: </strong>Elderly patients with CBDS were divided into two groups: A (asymptomatic CBDS) and S (symptomatic CBDS). Propensity score matching was performed to reduce possible bias in the baseline characteristics between the two groups, yielding 221 matched patients. Primary outcomes included early adverse events (AEs) during ERCP, while secondary outcomes included technical success rate and late AEs.</p><p><strong>Results: </strong>Regarding ERCP-related early AEs, the incidence of PEP was 6.3% in group A and 4.5% in group S, with no significant difference between the groups. The technical success rates were 87.8% and 84.6% in groups A and S, respectively, with no significant difference. The most common late AE was the recurrence of CBDS (11.3% in group A versus 18.6% in group S [p = 0.04]); Kaplan-Meier analysis also revealed a tendency toward a higher cumulative incidence in group S.</p><p><strong>Conclusion: </strong>Endoscopic transpapillary stone extraction in asymptomatic elderly patients may be beneficial.</p>","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145856951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background and aims: This study aimed to evaluate adverse events (AEs) for endoscopic ultrasound-guided biliary drainage (EUS-BD) and identify risk factors for early AEs and recurrent biliary obstruction (RBO).
Methods: A multicenter retrospective study was conducted using a common database of 21 Japanese referral centers.
Results: A total of 616 patients who underwent EUS-BD, including endoscopic ultrasound-guided choledochoduodenostomy (n = 107), hepaticogastrostomy (n = 487), and hepaticojejunostomy (n = 22), for malignant biliary obstruction were analyzed. Early AEs occurred in 13.6% of patients. Independent risk factors for all AEs included procedure time ≥ 32 min (odds ratio [OR] 1.82) and antiplatelet/anticoagulant use (OR 2.15). A risk factor for peritonitis included electrocautery use (OR 3.87), while bleeding risk was increased with antiplatelet/anticoagulant use (OR 7.19) and performance status > 2 (OR 5.26). The use of plastic stents was associated with a higher risk of a shorter time to RBO. AE and RBO rates did not significantly differ among the three EUS-BD approaches.
Conclusions: Patients on antiplatelet and/or anticoagulation therapy should be aware of the increased risk of AEs of EUS-BD. In addition, it is important to minimize procedure time, avoid the use of electrocautery, and use a metal stent to prevent early AEs and RBO.
{"title":"Adverse Events of EUS-Guided Biliary Drainage for Malignant Biliary Obstruction: A Large Multicenter Study.","authors":"Masahiro Itonaga, Takeshi Ogura, Mamoru Takenaka, Kazuyuki Matsumoto, Hideyuki Shiomi, Shuhei Shintani, Hideki Kamada, Taro Yamashita, Koichiro Mandai, Masanori Asada, Hajime Imai, Kotaro Takeshita, Tsukasa Ikeura, Nao Fujimori, Makiko Kinoshita, Kenji Ikezawa, Satoshi Sugimori, Koh Kitagawa, Ryota Sagami, Masahito Kokubu, Taira Kuroda, Nobu Nishioka, Keiichi Hatamaru, Kosuke Minaga, Ke Wan, Toshio Shimokawa, Masayuki Kitano","doi":"10.1002/jhbp.70055","DOIUrl":"https://doi.org/10.1002/jhbp.70055","url":null,"abstract":"<p><strong>Background and aims: </strong>This study aimed to evaluate adverse events (AEs) for endoscopic ultrasound-guided biliary drainage (EUS-BD) and identify risk factors for early AEs and recurrent biliary obstruction (RBO).</p><p><strong>Methods: </strong>A multicenter retrospective study was conducted using a common database of 21 Japanese referral centers.</p><p><strong>Results: </strong>A total of 616 patients who underwent EUS-BD, including endoscopic ultrasound-guided choledochoduodenostomy (n = 107), hepaticogastrostomy (n = 487), and hepaticojejunostomy (n = 22), for malignant biliary obstruction were analyzed. Early AEs occurred in 13.6% of patients. Independent risk factors for all AEs included procedure time ≥ 32 min (odds ratio [OR] 1.82) and antiplatelet/anticoagulant use (OR 2.15). A risk factor for peritonitis included electrocautery use (OR 3.87), while bleeding risk was increased with antiplatelet/anticoagulant use (OR 7.19) and performance status > 2 (OR 5.26). The use of plastic stents was associated with a higher risk of a shorter time to RBO. AE and RBO rates did not significantly differ among the three EUS-BD approaches.</p><p><strong>Conclusions: </strong>Patients on antiplatelet and/or anticoagulation therapy should be aware of the increased risk of AEs of EUS-BD. In addition, it is important to minimize procedure time, avoid the use of electrocautery, and use a metal stent to prevent early AEs and RBO.</p>","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145843882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Application of artificial intelligence (AI) in intraoperative imaging has been expanding rapidly. The surgeon's gazing point indicates the exact site of surgical procedures and concentrates critical information for AI applications. This study aimed to develop a machine learning-based system to automatically detect the surgeon's gazing point from surgical video data.
Methods: Surgical instruments were detected using a deep-learning model applied to images extracted from pancreaticoduodenectomy videos. Gazing points were estimated through a mathematical algorithm based on the axes and intersections of detected instruments, and time-averaging was applied to enhance stability in real-time analysis. After validation using pancreaticoduodenectomy cases, the system was subsequently applied to extended cholecystectomy and distal pancreatectomy cases to evaluate its applicability to other procedures.
Results: Surgical instrument detection yielded AP50 of 60.5%. Gaze points detection achieved accuracies of 82.7% and 93.9% within 216- and 324-pixel radii (9.42% and 21.2% of a 1440 × 1080 screen) in pancreaticoduodenectomy. When applied to extended cholecystectomy and pancreaticoduodenectomy distal pancreatectomy, our system demonstrated comparable performance, with an accuracy of 85.5% within the 324-pixel radius. Time averaging improved accuracy, particularly with a 5-s average.
Conclusions: Our system successfully detected the surgeon's gaze point across procedures, suggesting potential utility in future AI-assisted surgery.
{"title":"Automatic and Real-Time Surgeon's Gazing Point Detection From Surgical Videos Using Machine Learning and Mathematical Algorithm.","authors":"Shu Sasaki, Kenji Karako, Kyoji Ito, Yuichiro Mihara, Maho Takayama, Ryo Oikawa, Takeshi Takamoto, Nobuhisa Akamatsu, Yoshikuni Kawaguchi, Kiyoshi Hasegawa","doi":"10.1002/jhbp.70052","DOIUrl":"https://doi.org/10.1002/jhbp.70052","url":null,"abstract":"<p><strong>Background: </strong>Application of artificial intelligence (AI) in intraoperative imaging has been expanding rapidly. The surgeon's gazing point indicates the exact site of surgical procedures and concentrates critical information for AI applications. This study aimed to develop a machine learning-based system to automatically detect the surgeon's gazing point from surgical video data.</p><p><strong>Methods: </strong>Surgical instruments were detected using a deep-learning model applied to images extracted from pancreaticoduodenectomy videos. Gazing points were estimated through a mathematical algorithm based on the axes and intersections of detected instruments, and time-averaging was applied to enhance stability in real-time analysis. After validation using pancreaticoduodenectomy cases, the system was subsequently applied to extended cholecystectomy and distal pancreatectomy cases to evaluate its applicability to other procedures.</p><p><strong>Results: </strong>Surgical instrument detection yielded AP50 of 60.5%. Gaze points detection achieved accuracies of 82.7% and 93.9% within 216- and 324-pixel radii (9.42% and 21.2% of a 1440 × 1080 screen) in pancreaticoduodenectomy. When applied to extended cholecystectomy and pancreaticoduodenectomy distal pancreatectomy, our system demonstrated comparable performance, with an accuracy of 85.5% within the 324-pixel radius. Time averaging improved accuracy, particularly with a 5-s average.</p><p><strong>Conclusions: </strong>Our system successfully detected the surgeon's gaze point across procedures, suggesting potential utility in future AI-assisted surgery.</p>","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145781275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Message From the President of APHPBA for JHBPS for Year 2026","authors":"Zhi-Yong Huang","doi":"10.1002/jhbp.70042","DOIUrl":"10.1002/jhbp.70042","url":null,"abstract":"","PeriodicalId":16056,"journal":{"name":"Journal of Hepato‐Biliary‐Pancreatic Sciences","volume":"33 1","pages":"1-2"},"PeriodicalIF":2.8,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145768266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}