{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T17:36:16Z","timestamp":1786988176590,"version":"build-2736575974"},"reference-count":42,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejso.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Surgical Oncology"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1016\/j.ejso.2025.109709","type":"journal-article","created":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T11:25:53Z","timestamp":1740482753000},"page":"109709","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"title":["Non-invasive classification of non-neoplastic and neoplastic gallbladder polyps based on clinical imaging and ultrasound radiomics features: An interpretable machine learning model"],"prefix":"10.1016","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6186-9156","authenticated-orcid":false,"given":"Minghui","family":"Dou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengchao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenqi","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longxi","family":"Quan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mai","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5278-4420","authenticated-orcid":false,"given":"Feiqian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhilin","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhimin","family":"Geng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8254-7568","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.ejso.2025.109709_bib1","doi-asserted-by":"crossref","first-page":"3158","DOI":"10.1007\/s00261-024-04197-9","article-title":"Management of incidentally detected gallbladder polyps: a review of clinical scenarios using the 2022 SRU gallbladder polyp consensus guidelines","volume":"49","author":"Knight","year":"2024","journal-title":"Abdom Radiol (NY)"},{"issue":"5","key":"10.1016\/j.ejso.2025.109709_bib2","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2020.5143","article-title":"Outcomes of gallbladder polyps and their association with gallbladder cancer in a 20-year cohort","volume":"3","author":"Szpakowski","year":"2020","journal-title":"JAMA Netw Open"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejso.2023.107930","article-title":"Preoperative prediction model for non-neoplastic and benigon neoplastic polyps of the gallbladder","volume":"50","author":"Wang","year":"2024","journal-title":"Eur J Surg Oncol"},{"issue":"1142","key":"10.1016\/j.ejso.2025.109709_bib4","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20220115","article-title":"Gallbladder polyps and adenomyomatosis","volume":"96","author":"Riddell","year":"2023","journal-title":"Br J Radiol"},{"issue":"5","key":"10.1016\/j.ejso.2025.109709_bib5","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.jviscsurg.2020.04.008","article-title":"The management of gallbladder polyps","volume":"157","author":"Valibouze","year":"2020","journal-title":"J Visc Surg"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib6","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1007\/s00464-022-09532-z","article-title":"A Bayesian network prediction model for gallbladder polyps with malignant potential based on preoperative ultrasound","volume":"37","author":"Li","year":"2023","journal-title":"Surg Endosc"},{"issue":"5","key":"10.1016\/j.ejso.2025.109709_bib7","doi-asserted-by":"crossref","first-page":"3358","DOI":"10.1007\/s00330-021-08384-w","article-title":"Management and follow-up of gallbladder polyps: updated joint guidelines between the ESGAR, EAES, EFISDS and ESGE","volume":"32","author":"Foley","year":"2022","journal-title":"Eur Radiol"},{"issue":"14","key":"10.1016\/j.ejso.2025.109709_bib8","doi-asserted-by":"crossref","first-page":"4248","DOI":"10.3748\/wjg.v21.i14.4248","article-title":"Is cholecystectomy a reasonable treatment option for simple gallbladder polyps larger than 10 mm?","volume":"21","author":"Park","year":"2015","journal-title":"World J Gastroenterol"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib9","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1148\/radiol.213079","article-title":"Management of incidentally detected gallbladder polyps: society of radiologists in ultrasound consensus conference recommendations","volume":"305","author":"Kamaya","year":"2022","journal-title":"Radiology"},{"key":"10.1016\/j.ejso.2025.109709_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2023.111244","article-title":"Risk stratification model for incidentally detected gallbladder polyps: a multicentre study","volume":"170","author":"Tang","year":"2024","journal-title":"Eur J Radiol"},{"issue":"3","key":"10.1016\/j.ejso.2025.109709_bib11","doi-asserted-by":"crossref","first-page":"219","DOI":"10.21037\/hbsn.2018.12.15","article-title":"Neoplastic polyps in gallbladder: a retrospective study to determine risk factors and treatment strategy for gallbladder polyps","volume":"8","author":"Sun","year":"2019","journal-title":"Hepatobiliary Surg Nutr"},{"issue":"7","key":"10.1016\/j.ejso.2025.109709_bib12","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1002\/jhbp.1300","article-title":"Combining polyp diameter and polyp-to-bile ratio by dynamic contrast-enhanced CT scanning can improve the diagnostic specificity of gallbladder neoplastic polyps","volume":"30","author":"Li","year":"2023","journal-title":"J Hepatobiliary Pancreat Sci"},{"issue":"12","key":"10.1016\/j.ejso.2025.109709_bib13","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1016\/j.asjsur.2021.03.003","article-title":"Risk factors to discriminate neoplastic polypoid lesions of gallbladder: a large-scale case-series study","volume":"44","author":"Liu","year":"2021","journal-title":"Asian J Surg"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib14","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1007\/s00259-018-4138-5","article-title":"Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer","volume":"46","author":"Moon","year":"2019","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"3","key":"10.1016\/j.ejso.2025.109709_bib15","doi-asserted-by":"crossref","first-page":"2160","DOI":"10.1007\/s00330-022-09168-6","article-title":"CT radiomics nomogram for prediction of the Ki-67 index in head and neck squamous cell carcinoma","volume":"33","author":"Zheng","year":"2023","journal-title":"Eur Radiol"},{"key":"10.1016\/j.ejso.2025.109709_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2023.110731","article-title":"A DWI-based radiomics-clinical machine learning model to preoperatively predict the futile recanalization after endovascular treatment of acute basilar artery occlusion patients","volume":"161","author":"Luo","year":"2023","journal-title":"Eur J Radiol"},{"issue":"4","key":"10.1016\/j.ejso.2025.109709_bib17","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1136\/thorax-2023-220226","article-title":"Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches","volume":"79","author":"Warkentin","year":"2024","journal-title":"Thorax"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib18","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1038\/s41467-020-15027-z","article-title":"Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer","volume":"11","author":"Zheng","year":"2020","journal-title":"Nat Commun"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib19","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1002\/uog.24805","article-title":"Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer","volume":"60","author":"Moro","year":"2022","journal-title":"Ultrasound Obstet Gynecol"},{"issue":"19","key":"10.1016\/j.ejso.2025.109709_bib20","article-title":"Multimodal ultrasound radiomic technology for diagnosing benign and malignant thyroid nodules of Ti-rads 4-5: a multicenter study","volume":"24","author":"Wang","year":"2024","journal-title":"Sensors (Basel)"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib21","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1148\/radiol.2018171820","article-title":"Current applications and future impact of machine learning in radiology","volume":"288","author":"Choy","year":"2018","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib22","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1038\/s41580-021-00407-0","article-title":"A guide to machine learning for biologists","volume":"23","author":"Greener","year":"2022","journal-title":"Nat Rev Mol Cell Biol"},{"key":"10.1016\/j.ejso.2025.109709_bib23","series-title":"Interpretability of machine learning methods applied to neuroimaging[J]","first-page":"655","author":"Thibeau-Sutre","year":"2023"},{"key":"10.1016\/j.ejso.2025.109709_bib24","article-title":"Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method","volume":"15","author":"Cao","year":"2024","journal-title":"Front Immunol"},{"issue":"3","key":"10.1016\/j.ejso.2025.109709_bib25","doi-asserted-by":"crossref","DOI":"10.3390\/cancers15030625","article-title":"Machine learning to predict the response to lenvatinib combined with transarterial chemoembolization for unresectable hepatocellular carcinoma","volume":"15","author":"Ma","year":"2023","journal-title":"Cancers"},{"issue":"2","key":"10.1016\/j.ejso.2025.109709_bib26","first-page":"1039","article-title":"Noninvasive prediction of perineural invasion in intrahepaticcholangiocarcinoma by clinicoradiological features and computed tomography radiomics based on interpretable machine learning: a multicenter cohort study","volume":"110","author":"Liu","year":"2024","journal-title":"Int J Surg"},{"issue":"7","key":"10.1016\/j.ejso.2025.109709_bib27","doi-asserted-by":"crossref","DOI":"10.3390\/cancers14071654","article-title":"Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications","volume":"14","author":"Preuss","year":"2022","journal-title":"Cancers"},{"issue":"3","key":"10.1016\/j.ejso.2025.109709_bib28","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","article-title":"User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability","volume":"31","author":"Yushkevich","year":"2006","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.ejso.2025.109709_bib29","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1007\/s00330-020-07174-0","article-title":"Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis","volume":"31","author":"Ligero","year":"2021","journal-title":"Eur Radiol"},{"issue":"21","key":"10.1016\/j.ejso.2025.109709_bib30","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"van Griethuysen","year":"2017","journal-title":"Cancer Res"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib31","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1186\/s12938-023-01180-1","article-title":"Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules","volume":"22","author":"Sun","year":"2023","journal-title":"Biomed Eng Online"},{"issue":"5","key":"10.1016\/j.ejso.2025.109709_bib32","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s10140-021-01949-8","article-title":"Statistical learning of blunt cerebrovascular injury risk factors using the elastic net","volume":"28","author":"Cooper","year":"2021","journal-title":"Emerg Radiol"},{"issue":"12","key":"10.1016\/j.ejso.2025.109709_bib33","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1016\/j.dld.2023.06.023","article-title":"Analysis of ultrasonographic images using a deep learning-based model as ancillary diagnostic tool for diagnosing gallbladder polyps","volume":"55","author":"Choi","year":"2023","journal-title":"Dig Liver Dis"},{"issue":"9","key":"10.1016\/j.ejso.2025.109709_bib34","doi-asserted-by":"crossref","first-page":"1846","DOI":"10.1007\/s11605-022-05351-8","article-title":"A new risk scoring system to predict malignancy in gallbladder polyps: a single-center study","volume":"26","author":"G\u00fcne\u015f","year":"2022","journal-title":"J Gastrointest Surg"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib35","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.asjsur.2018.03.005","article-title":"Reasonable cholecystectomy of gallbladder polyp - 10 years of experience","volume":"42","author":"Lee","year":"2019","journal-title":"Asian J Surg"},{"issue":"7","key":"10.1016\/j.ejso.2025.109709_bib36","doi-asserted-by":"crossref","first-page":"5453","DOI":"10.1007\/s00464-023-10056-3","article-title":"A Bayesian network model to predict neoplastic risk for patients with gallbladder polyps larger than 10 mm based on preoperative ultrasound features","volume":"37","author":"Li","year":"2023","journal-title":"Surg Endosc"},{"issue":"12","key":"10.1016\/j.ejso.2025.109709_bib37","doi-asserted-by":"crossref","first-page":"8899","DOI":"10.1007\/s00330-023-09891-8","article-title":"Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study","volume":"33","author":"Wang","year":"2023","journal-title":"Eur Radiol"},{"key":"10.1016\/j.ejso.2025.109709_bib38","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.semcancer.2023.05.004","article-title":"Radiomics and artificial intelligence for precision medicine in lung cancer treatment","volume":"93","author":"Chen","year":"2023","journal-title":"Semin Cancer Biol"},{"issue":"1","key":"10.1016\/j.ejso.2025.109709_bib39","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s40537-020-00369-8","article-title":"CatBoost for big data: an interdisciplinary review","volume":"7","author":"Hancock","year":"2020","journal-title":"J Big Data"},{"key":"10.1016\/j.ejso.2025.109709_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.104151","article-title":"Machine learning model for predicting malaria using clinical information","volume":"129","author":"Lee","year":"2021","journal-title":"Comput Biol Med"},{"key":"10.1016\/j.ejso.2025.109709_bib41","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106707","article-title":"Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion","volume":"156","author":"Zheng","year":"2023","journal-title":"Comput Biol Med"},{"issue":"11","key":"10.1016\/j.ejso.2025.109709_bib42","doi-asserted-by":"crossref","DOI":"10.1111\/cts.70056","article-title":"Practical guide to SHAP analysis: explaining supervised machine learning model predictions in drug development","volume":"17","author":"Ponce-Bobadilla","year":"2024","journal-title":"Clin Transl Sci"}],"container-title":["European Journal of Surgical Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0748798325001374?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0748798325001374?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T14:49:06Z","timestamp":1753973346000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0748798325001374"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":42,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["S0748798325001374"],"URL":"https:\/\/doi.org\/10.1016\/j.ejso.2025.109709","relation":{},"ISSN":["0748-7983"],"issn-type":[{"value":"0748-7983","type":"print"}],"subject":[],"published":{"date-parts":[[2025,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Non-invasive classification of non-neoplastic and neoplastic gallbladder polyps based on clinical imaging and ultrasound radiomics features: An interpretable machine learning model","name":"articletitle","label":"Article Title"},{"value":"European Journal of Surgical Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejso.2025.109709","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"109709"}}