{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T05:52:51Z","timestamp":1787896371359,"version":"build-2784847793"},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"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","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Best Practice & Research Clinical Gastroenterology"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1016\/j.bpg.2025.101997","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T11:19:13Z","timestamp":1740568753000},"page":"101997","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Radiomics in early detection of bilio-pancreatic lesions: A narrative review"],"prefix":"10.1016","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5785-0549","authenticated-orcid":false,"given":"Calogero","family":"Cas\u00e0","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Portik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed Nadeem","family":"Abbasi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Miccich\u00e8","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib1","first-page":"12","article-title":"Cancer statistics, 2024","volume":"74","author":"Siegel","year":"2024","journal-title":"CA Cancer J Clin"},{"issue":"14","key":"10.1016\/j.bpg.2025.101997_bib2","first-page":"7623","article-title":"Understanding the conundrum of pancreatic cancer in the omics sciences era","volume":"25","author":"Nicoletti","year":"2024","journal-title":"Indian J Manag Sci"},{"key":"10.1016\/j.bpg.2025.101997_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.critrevonc.2023.104020","article-title":"The PANcreatic Disease ReseArch (PANDoRA) consortium: ten years' experience of association studies to understand the genetic architecture of pancreatic cancer","volume":"186","author":"Campa","year":"2023","journal-title":"Crit Rev Oncol Hematol"},{"key":"10.1016\/j.bpg.2025.101997_bib4","article-title":"The impact of radiomics in diagnosis and staging of pancreatic cancer","volume":"15","author":"Cas\u00e0","year":"2022","journal-title":"Ther Adv Gastrointest Endosc"},{"key":"10.1016\/j.bpg.2025.101997_bib5","doi-asserted-by":"crossref","DOI":"10.3389\/fsurg.2023.1119557","article-title":"The role of the multidisciplinary tumor board (MDTB) in the assessment of pancreatic cancer diagnosis and resectability: a tertiary referral center experience","volume":"10","author":"Quero","year":"2023","journal-title":"Front Surg"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib6","doi-asserted-by":"crossref","first-page":"985","DOI":"10.3390\/cancers14040985","article-title":"Current limitations and novel perspectives in pancreatic cancer treatment","volume":"14","author":"Robatel","year":"2022","journal-title":"Cancers"},{"issue":"10","key":"10.1016\/j.bpg.2025.101997_bib7","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1159\/000525945","article-title":"Role of chemoradiation in the adjuvant treatment of radically resected pancreatic cancer patients: a mono-institutional retrospective analysis","volume":"45","author":"Mattiucci","year":"2022","journal-title":"Oncol Res Treat"},{"issue":"3","key":"10.1016\/j.bpg.2025.101997_bib8","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s00432-020-03411-7","article-title":"Hypofractionated sequential radiotherapy boost: a promising strategy in inoperable locally advanced pancreatic cancer patients","volume":"147","author":"Mattiucci","year":"2021","journal-title":"J Cancer Res Clin Oncol"},{"issue":"12","key":"10.1016\/j.bpg.2025.101997_bib9","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1002\/cac2.12204","article-title":"Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review","volume":"41","author":"Yang","year":"2021","journal-title":"Cancer Commun"},{"issue":"7","key":"10.1016\/j.bpg.2025.101997_bib10","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1038\/s41575-021-00457-x","article-title":"Pancreatic cancer epidemiology: understanding the role of lifestyle and inherited risk factors","volume":"18","author":"Klein","year":"2021","journal-title":"Nat Rev Gastroenterol Hepatol"},{"key":"10.1016\/j.bpg.2025.101997_bib11","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2021.771312","article-title":"Identification of recessively inherited genetic variants potentially linked to pancreatic cancer risk","volume":"11","author":"Lu","year":"2021","journal-title":"Front Oncol"},{"issue":"11","key":"10.1016\/j.bpg.2025.101997_bib12","doi-asserted-by":"crossref","first-page":"2779","DOI":"10.1002\/ijc.33475","article-title":"Genome-wide scan of long noncoding RNA single nucleotide polymorphisms and pancreatic cancer susceptibility","volume":"148","author":"Corradi","year":"2021","journal-title":"Int J Cancer"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib13","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-22973-9","article-title":"Common variability in oestrogen-related genes and pancreatic ductal adenocarcinoma risk in women","volume":"12","author":"Peduzzi","year":"2022","journal-title":"Sci Rep"},{"issue":"6","key":"10.1016\/j.bpg.2025.101997_bib14","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1136\/jmedgenet-2020-106961","article-title":"Polygenic and multifactorial scores for pancreatic ductal adenocarcinoma risk prediction","volume":"58","author":"Galeotti","year":"2021","journal-title":"J Med Genet"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib15","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1186\/s40246-024-00576-x","article-title":"Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk","volume":"18","author":"\u00dcnal","year":"2024","journal-title":"Hum Genom"},{"issue":"8","key":"10.1016\/j.bpg.2025.101997_bib16","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1002\/ijc.35046","article-title":"Potential association between PSCA rs2976395 functional variant and pancreatic cancer risk","volume":"155","author":"Corradi","year":"2024","journal-title":"Int J Cancer"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib17","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1186\/s40659-023-00457-y","article-title":"Exploring the Neandertal legacy of pancreatic ductal adenocarcinoma risk in Eurasians","volume":"56","author":"Piccardi","year":"2023","journal-title":"Biol Res"},{"issue":"10","key":"10.1016\/j.bpg.2025.101997_bib18","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1016\/j.dld.2023.02.023","article-title":"Genetic and non-genetic risk factors for early-onset pancreatic cancer","volume":"55","author":"Nodari","year":"2023","journal-title":"Dig Liver Dis"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib19","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s12282-019-01006-w","article-title":"kOBCS\u00a9: a novel software calculator program of the Objective Breast Cosmesis Scale (OBCS)","volume":"27","author":"Soror","year":"2020","journal-title":"Breast Cancer"},{"key":"10.1016\/j.bpg.2025.101997_bib20","series-title":"30th IEEE international conference on tools with artificial intelligence (ICTAI 2018)","first-page":"647","article-title":"A framework for event log generation and knowledge representation for process mining in healthcare","author":"Gatta","year":"2018"},{"issue":"10","key":"10.1016\/j.bpg.2025.101997_bib21","doi-asserted-by":"crossref","first-page":"2172","DOI":"10.1108\/MD-09-2017-0906","article-title":"Assessing the conformity to clinical guidelines in oncology: an example for the multidisciplinary management of locally advanced colorectal cancer treatment","volume":"56","author":"Lenkowicz","year":"2018","journal-title":"Manag Decis"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib22","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/j.ijrobp.2018.04.065","article-title":"Magnetic resonance, vendor-independent, intensity histogram analysis predicting pathologic complete response after radiochemotherapy of rectal cancer","volume":"102","author":"Dinapoli","year":"2018","journal-title":"Int J Radiat Oncol Biol Phys"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib23","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s13014-022-02048-9","article-title":"Applicability of a pathological complete response magnetic resonance-based radiomics model for locally advanced rectal cancer in intercontinental cohort","volume":"17","author":"Boldrini","year":"2022","journal-title":"Radiat Oncol"},{"issue":"3","key":"10.1016\/j.bpg.2025.101997_bib24","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s11547-020-01266-z","article-title":"A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer","volume":"126","author":"Cusumano","year":"2021","journal-title":"Radiologia Medica"},{"key":"10.1016\/j.bpg.2025.101997_bib25","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2023.1189740","article-title":"Role of radiomics in predicting lymph node metastasis in gastric cancer: a systematic review","volume":"10","author":"Miccich\u00e8","year":"2023","journal-title":"Front Med"},{"key":"10.1016\/j.bpg.2025.101997_bib26","series-title":"2018 IEEE 31st international symposium on computer-based medical systems (CBMS)","first-page":"250","article-title":"Exploratory radiomics for predicting adaptive radiotherapy in non-small cell lung cancer","author":"Sicilia","year":"2018"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib27","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: images are more than pictures, they are data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib28","doi-asserted-by":"crossref","first-page":"424","DOI":"10.21037\/tcr.2016.06.08","article-title":"Radiomics for rectal cancer","volume":"5","author":"Dinapoli","year":"2016","journal-title":"Transl Cancer Res"},{"key":"10.1016\/j.bpg.2025.101997_bib29","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.artmed.2018.09.003","article-title":"Towards a modular decision support system for radiomics: a case study on rectal cancer","volume":"96","author":"Gatta","year":"2019","journal-title":"Artif Intell Med"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib30","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1007\/s11547-017-0838-3","article-title":"Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer","volume":"123","author":"Cusumano","year":"2018","journal-title":"Radiologia Medica"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib31","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics11010072","article-title":"Delta radiomics analysis for local control prediction in pancreatic cancer patients treated using magnetic resonance guided radiotherapy","volume":"11","author":"Cusumano","year":"2021","journal-title":"Diagnostics"},{"key":"10.1016\/j.bpg.2025.101997_bib32","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2020.595012","article-title":"Delta radiomics can predict distant metastasis in locally advanced rectal cancer: the challenge to personalize the cure","volume":"10","author":"Chiloiro","year":"2020","journal-title":"Front Oncol"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib33","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/s11547-018-0951-y","article-title":"Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach","volume":"124","author":"Boldrini","year":"2019","journal-title":"Radiologia Medica"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib34","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1148\/radiol.2020191145","article-title":"The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping","volume":"295","author":"Zwanenburg","year":"2020","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib35","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1038\/bjc.2014.639","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement","volume":"112","author":"Collins","year":"2015","journal-title":"Br J Cancer"},{"issue":"12","key":"10.1016\/j.bpg.2025.101997_bib36","doi-asserted-by":"crossref","first-page":"3206","DOI":"10.3390\/biomedicines11123206","article-title":"An integrative pancreatic cancer risk prediction model in the UK biobank","volume":"11","author":"Ke","year":"2023","journal-title":"Biomedicines"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib37","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.diii.2019.09.002","article-title":"Deep lessons learned: radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis","volume":"101","author":"Weisberg","year":"2020","journal-title":"Diagnostic and Interventional Imaging"},{"key":"10.1016\/j.bpg.2025.101997_bib38","doi-asserted-by":"crossref","DOI":"10.1177\/10732748231154711","article-title":"Early diagnosis of pancreatic cancer: clinical premonitions, timely precursor detection and increased curative-intent surgery","volume":"30","author":"S\u00f8reide","year":"2023","journal-title":"Cancer Control"},{"issue":"7","key":"10.1016\/j.bpg.2025.101997_bib39","doi-asserted-by":"crossref","first-page":"2811","DOI":"10.1007\/s10620-023-07904-6","article-title":"Pancreatic cancer biomarkers: oncogenic mutations, tissue and liquid biopsies, and radiomics\u2014a review","volume":"68","author":"Amaral","year":"2023","journal-title":"Dig Dis Sci"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib40","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.hbpd.2021.12.006","article-title":"Radiomics in pancreatic cancer for oncologist: present and future","volume":"21","author":"De La Pinta","year":"2022","journal-title":"Hepatobiliary Pancreat Dis Int"},{"issue":"7","key":"10.1016\/j.bpg.2025.101997_bib41","doi-asserted-by":"crossref","first-page":"505","DOI":"10.3390\/diagnostics10070505","article-title":"Radiomics for the diagnosis and differentiation of pancreatic cystic lesions","volume":"10","author":"Machicado","year":"2020","journal-title":"Diagnostics"},{"issue":"7","key":"10.1016\/j.bpg.2025.101997_bib42","doi-asserted-by":"crossref","first-page":"1654","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":"10","key":"10.1016\/j.bpg.2025.101997_bib43","doi-asserted-by":"crossref","first-page":"2539","DOI":"10.3390\/cancers14102539","article-title":"Imaging modalities for early detection of pancreatic cancer: current state and future research opportunities","volume":"14","author":"Farr","year":"2022","journal-title":"Cancers"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib44","doi-asserted-by":"crossref","first-page":"14","DOI":"10.20517\/ais.2022.38","article-title":"Potential of artificial intelligence in the risk stratification for and early detection of pancreatic cancer","volume":"3","author":"Tovar","year":"2023","journal-title":"Art Int Surg"},{"issue":"12","key":"10.1016\/j.bpg.2025.101997_bib45","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.3748\/wjg.v29.i12.1811","article-title":"Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis","volume":"29","author":"Faur","year":"2023","journal-title":"World J Gastroenterol"},{"issue":"5","key":"10.1016\/j.bpg.2025.101997_bib46","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1097\/MOG.0000000000000966","article-title":"A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging","volume":"39","author":"Yao","year":"2023","journal-title":"Curr Opin Gastroenterol"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib47","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/TMI.2020.3021254","article-title":"A novel multiresolution-statistical texture analysis architecture: radiomics-aided diagnosis of PDAC based on plain CT images","volume":"40","author":"Qiu","year":"2021","journal-title":"IEEE Trans Med Imag"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib48","doi-asserted-by":"crossref","first-page":"377","DOI":"10.3233\/XST-211116","article-title":"Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images","volume":"30","author":"Gai","year":"2022","journal-title":"XST"},{"key":"10.1016\/j.bpg.2025.101997_bib49","first-page":"211","article-title":"Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images","volume":"vol. 33","author":"Qureshi","year":"2022"},{"key":"10.1016\/j.bpg.2025.101997_bib50","doi-asserted-by":"crossref","DOI":"10.1177\/15330338221126869","article-title":"Compute tomography radiomics analysis on whole pancreas between healthy individual and pancreatic ductal adenocarcinoma patients: uncertainty analysis and predictive modeling","volume":"21","author":"Wang","year":"2022","journal-title":"Technol Cancer Res Treat"},{"key":"10.1016\/j.bpg.2025.101997_bib51","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2022.1007990","article-title":"Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images","volume":"12","author":"Javed","year":"2022","journal-title":"Front Oncol"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib52","doi-asserted-by":"crossref","DOI":"10.14309\/ctg.0000000000000548","article-title":"Quantitative radiomic features from computed tomography can predict pancreatic cancer up to 36 Months before diagnosis","volume":"14","author":"Chen","year":"2023","journal-title":"Clin Transl Gastroenterol"},{"issue":"5","key":"10.1016\/j.bpg.2025.101997_bib53","doi-asserted-by":"crossref","first-page":"941","DOI":"10.3390\/diagnostics13050941","article-title":"Can imaging using radiomics and fat fraction analysis detect early tissue changes on historical CT scans in the regions of the pancreas gland that subsequently develop adenocarcinoma?","volume":"13","author":"Korn","year":"2023","journal-title":"Diagnostics"},{"issue":"13","key":"10.1016\/j.bpg.2025.101997_bib54","doi-asserted-by":"crossref","first-page":"3393","DOI":"10.3390\/cancers15133393","article-title":"Contrast-enhanced imaging in the management of intrahepatic cholangiocarcinoma: state of art and future perspectives","volume":"15","author":"Cerrito","year":"2023","journal-title":"Cancers"},{"issue":"2","key":"10.1016\/j.bpg.2025.101997_bib55","doi-asserted-by":"crossref","first-page":"213","DOI":"10.3390\/biology12020213","article-title":"Risk assessment and cholangiocarcinoma: diagnostic management and artificial intelligence","volume":"12","author":"Granata","year":"2023","journal-title":"Biology"},{"issue":"7","key":"10.1016\/j.bpg.2025.101997_bib56","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1111\/jgh.15841","article-title":"A nomogram\u2010based model and ultrasonic radiomic features for gallbladder polyp classification","volume":"37","author":"Zhang","year":"2022","journal-title":"J Gastroenterol Hepatol"},{"key":"10.1016\/j.bpg.2025.101997_bib57","first-page":"1","article-title":"Classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on radiomic analysis","volume":"2022","author":"Xu","year":"2022","journal-title":"Comput Math Methods Med"},{"issue":"4","key":"10.1016\/j.bpg.2025.101997_bib58","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.hbpd.2023.04.001","article-title":"A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinoma","volume":"23","author":"Xiang","year":"2024","journal-title":"Hepatobiliary Pancreat Dis Int"},{"key":"10.1016\/j.bpg.2025.101997_bib59","article-title":"The diagnostic value of a nomogram based on enhanced CT radiomics for differentiating between intrahepatic cholangiocarcinoma and early hepatic abscess","volume":"11","author":"chen","year":"2024","journal-title":"Front Mol Biosci"},{"issue":"1","key":"10.1016\/j.bpg.2025.101997_bib60","first-page":"1","article-title":"COVID-19 and digital competencies among young physicians: are we (really) ready for the new era? A national survey of the Italian Young Medical Doctors Association","volume":"57","author":"Cas\u00e0","year":"2021","journal-title":"Ann Ist Super Sanita"},{"issue":"12","key":"10.1016\/j.bpg.2025.101997_bib61","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: the bridge between medical imaging and personalized medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat Rev Clin Oncol"},{"issue":"12","key":"10.1016\/j.bpg.2025.101997_bib62","doi-asserted-by":"crossref","first-page":"2556","DOI":"10.1158\/1055-9965.EPI-20-0075","article-title":"Radiomics improves cancer screening and early detection","volume":"29","author":"Gillies","year":"2020","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"10.1016\/j.bpg.2025.101997_bib63","doi-asserted-by":"crossref","DOI":"10.1177\/2631774521993059","article-title":"Application of artificial intelligence in pancreaticobiliary diseases","volume":"14","author":"Goyal","year":"2021","journal-title":"Clin Med Insights Gastroenterol"}],"container-title":["Best Practice & Research Clinical Gastroenterology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1521691825000241?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1521691825000241?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T11:48:02Z","timestamp":1754394482000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1521691825000241"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":63,"alternative-id":["S1521691825000241"],"URL":"https:\/\/doi.org\/10.1016\/j.bpg.2025.101997","relation":{},"ISSN":["1521-6918"],"issn-type":[{"value":"1521-6918","type":"print"}],"subject":[],"published":{"date-parts":[[2025,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Radiomics in early detection of bilio-pancreatic lesions: A narrative review","name":"articletitle","label":"Article Title"},{"value":"Best Practice & Research Clinical Gastroenterology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bpg.2025.101997","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"101997"}}