{"id":"https://openalex.org/W4410856342","doi":"https://doi.org/10.1159/000546603","title":"Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer Detection","display_name":"Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer Detection","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410856342","doi":"https://doi.org/10.1159/000546603","pmid":"https://pubmed.ncbi.nlm.nih.gov/40567392","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12187166"},"language":"en","primary_location":{"id":"doi:10.1159/000546603","doi":"https://doi.org/10.1159/000546603","is_oa":false,"landing_page_url":"https://doi.org/10.1159/000546603","pdf_url":null,"source":{"id":"https://openalex.org/S2765013292","display_name":"Visceral Medicine","issn_l":"2297-4725","issn":["2297-4725","2297-475X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310317820","host_organization_name":"Karger Publishers","host_organization_lineage":["https://openalex.org/P4310317820"],"host_organization_lineage_names":["Karger Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visceral Medicine","raw_type":"journal-article"},"volume":null,"type":"review","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12187166/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113324765","display_name":"Ajith Antony","orcid":"https://orcid.org/0009-0008-2265-8758","observed_orcids":["https://orcid.org/0009-0008-2265-8758"]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajith Antony","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037241754","display_name":"Sovanlal Mukherjee","orcid":"https://orcid.org/0000-0002-8238-4794","observed_orcids":["https://orcid.org/0000-0002-8238-4794"]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sovanlal Mukherjee","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080439614","display_name":"Khurram Khaliq Bhinder","orcid":"https://orcid.org/0000-0002-4501-0806","observed_orcids":["https://orcid.org/0000-0002-4501-0806"]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khurram Bhinder","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Murlidhar Murlidhar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murlidhar Murlidhar","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068003718","display_name":"Armin Zarrintan","orcid":"https://orcid.org/0000-0002-1217-648X","observed_orcids":["https://orcid.org/0000-0002-1217-648X"]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armin Zarrintan","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"raw_orcid":"https://orcid.org/0000-0002-1217-648X","affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077068545","display_name":"Ajit Harishkumar Goenka","orcid":"https://orcid.org/0000-0002-7804-2695","observed_orcids":["https://orcid.org/0000-0002-7804-2695"]},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723"]},{"id":"https://openalex.org/I4390039279","display_name":"Mayo Clinic Comprehensive Cancer Center (Minnesota)","ror":"https://ror.org/012wxv498","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4390039279"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajit H. Goenka","raw_affiliation_strings":["Divisions of Abdominal and Nuclear Radiology, Nuclear Radiology Research Operations, Enterprise PET/MR Research, Education and Executive Committee, Risk Assessment, Early Detection and Interception (REDI), Mayo Clinic Comprehensive Cancer Center (MCCCC), Rochester, MN, USA"],"raw_orcid":"https://orcid.org/0000-0002-7804-2695","affiliations":[{"raw_affiliation_string":"Divisions of Abdominal and Nuclear Radiology, Nuclear Radiology Research Operations, Enterprise PET/MR Research, Education and Executive Committee, Risk Assessment, Early Detection and Interception (REDI), Mayo Clinic Comprehensive Cancer Center (MCCCC), Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723","https://openalex.org/I4390039279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4115,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79693938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"41","issue":"5","first_page":"271","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.7113999724388123,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.7113999724388123,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.26759999990463257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.01080000028014183,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pancreatic-ductal-adenocarcinoma","display_name":"pancreatic ductal adenocarcinoma","score":1.0},{"id":"https://openalex.org/keywords/early-cancer-detection","display_name":"early cancer detection","score":0.9459999799728394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.8790000081062317},{"id":"https://openalex.org/keywords/radiomics","display_name":"radiomics","score":0.8519999980926514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9470000267028809},{"id":"https://openalex.org/keywords/contrast-enhanced-computed-tomography","display_name":"contrast-enhanced CT","score":0.9589999914169312},{"id":"https://openalex.org/keywords/pancreas-segmentation","display_name":"pancreas segmentation","score":0.824999988079071},{"id":"https://openalex.org/keywords/imaging-biomarkers","display_name":"imaging biomarkers","score":0.9620000123977661},{"id":"https://openalex.org/keywords/tumor-staging","display_name":"tumor staging","score":0.5950000286102295},{"id":"https://openalex.org/keywords/external-validation","display_name":"external validation","score":0.7089999914169312}],"concepts":[{"id":"https://openalex.org/C2780210213","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic cancer","level":3,"score":0.6642104387283325},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5003907680511475},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.47662532329559326},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.4393000602722168},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4268520772457123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3793734312057495},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37143605947494507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3706499934196472},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19627651572227478}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1159/000546603","doi":"https://doi.org/10.1159/000546603","is_oa":false,"landing_page_url":"https://doi.org/10.1159/000546603","pdf_url":null,"source":{"id":"https://openalex.org/S2765013292","display_name":"Visceral Medicine","issn_l":"2297-4725","issn":["2297-4725","2297-475X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310317820","host_organization_name":"Karger Publishers","host_organization_lineage":["https://openalex.org/P4310317820"],"host_organization_lineage_names":["Karger Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visceral Medicine","raw_type":"journal-article"},{"id":"pmid:40567392","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40567392","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visceral medicine","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12187166","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12187166/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visc Med","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12187166","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12187166/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visc Med","raw_type":"Text"},"sustainable_development_goals":[{"score":0.98580002784729,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G9000866180","display_name":"Mayo Clinic Comprehensive Cancer Center Support Grant","funder_award_id":"P30CA015083","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G9000890614","display_name":"Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy","funder_award_id":"R01CA256969","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G9000894929","display_name":"Quantitative In Vivo 68Ga-Fibroblast-Activation-Protein-Inhibitors (FAPI)-46 PET Imaging of Cancer-Associated Fibroblasts (CAFs) in Pancreatic Ductal Adenocarcinoma (PDA)","funder_award_id":"R01CA272628","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4200095375","https://openalex.org/W4214501243"],"related_works":["https://openalex.org/W4405878181","https://openalex.org/W4408037689","https://openalex.org/W7117959083","https://openalex.org/W4403826303","https://openalex.org/W7126185352","https://openalex.org/W4399698680","https://openalex.org/W4416444851","https://openalex.org/W7154896923","https://openalex.org/W4391883983","https://openalex.org/W4383956927"],"abstract_inverted_index":{"Background:":[0],"Pancreatic":[1],"ductal":[2],"adenocarcinoma":[3],"(PDA)":[4],"is":[5,56],"a":[6,80,182,214],"highly":[7],"lethal":[8],"malignancy,":[9],"often":[10],"diagnosed":[11],"at":[12],"an":[13],"advanced":[14],"stage":[15,71],"due":[16],"to":[17,99,109,119,127,185,210],"its":[18,54],"insidious":[19],"progression":[20],"and":[21,31,39,61,95,135,148,170,193,205,220],"the":[22,48,62,85,110,117,139,150],"absence":[23,64],"of":[24,65,88,104,152],"effective":[25],"early":[26,70,157],"detection":[27],"strategies.":[28],"Accurate":[29],"diagnosis":[30,219],"staging":[32],"are":[33,107,208],"critical":[34],"for":[35,51,83],"optimizing":[36],"treatment":[37],"selection":[38],"improving":[40],"patient":[41],"survival.":[42],"Contrast-enhanced":[43],"computed":[44],"tomography":[45],"(CT)":[46],"remains":[47],"diagnostic":[49,191],"standard":[50],"PDA;":[52],"however,":[53],"sensitivity":[55],"limited":[57],"by":[58,92,132],"interobserver":[59],"variability":[60],"frequent":[63],"overt":[66],"morphological":[67],"abnormalities":[68],"in":[69,138,173,217],"disease.":[72],"Summary:":[73],"Artificial":[74],"intelligence":[75],"(AI)":[76],"has":[77],"emerged":[78],"as":[79,213],"promising":[81],"tool":[82],"overcoming":[84],"inherent":[86],"limitations":[87],"conventional":[89],"radiologic":[90],"assessment":[91],"leveraging":[93],"radiomics":[94],"deep":[96],"learning":[97],"models":[98,114],"extract":[100],"subtle":[101],"imaging":[102,153],"signatures":[103],"PDA":[105,122,188,218],"that":[106],"imperceptible":[108],"human":[111],"eye.":[112],"AI-driven":[113,179],"have":[115],"demonstrated":[116],"ability":[118],"detect":[120],"pre-diagnostic":[121],"on":[123],"CT":[124],"scans":[125],"months":[126],"years":[128],"before":[129],"clinical":[130,175,203],"presentation":[131],"identifying":[133],"textural":[134],"structural":[136],"changes":[137],"pancreas.":[140],"Furthermore,":[141],"automated":[142],"volumetric":[143],"pancreas":[144],"segmentation":[145],"enhances":[146],"reproducibility":[147],"facilitates":[149],"discovery":[151],"biomarkers":[154],"associated":[155],"with":[156],"carcinogenesis.":[158],"Despite":[159],"these":[160],"advances,":[161],"key":[162],"challenges":[163],"remain,":[164],"including":[165],"dataset":[166],"heterogeneity,":[167],"model":[168],"interpretability,":[169],"prospective":[171,206],"validation":[172],"real-world":[174],"settings.":[176],"Key":[177],"Messages:":[178],"approaches":[180],"offer":[181],"transformative":[183],"opportunity":[184],"augment":[186],"CT-based":[187],"detection,":[189],"reduce":[190],"uncertainty,":[192],"facilitate":[194],"earlier":[195],"intervention.":[196],"However,":[197],"robust":[198],"external":[199],"validation,":[200],"integration":[201],"into":[202],"workflows,":[204],"trials":[207],"essential":[209],"establish":[211],"AI":[212],"reliable":[215],"adjunct":[216],"staging.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2025-10-10T00:00:00"}
