{"id":"https://openalex.org/W4411289825","doi":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09","title":"Abstract P2-09-09: Image-based breast cancer risk assessment based on dense mammographic tissue subtypes","display_name":"Abstract P2-09-09: Image-based breast cancer risk assessment based on dense mammographic tissue subtypes","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411289825","doi":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09"},"language":"en","primary_location":{"id":"doi:10.1158/1557-3265.sabcs24-p2-09-09","doi":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09","is_oa":false,"landing_page_url":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09","pdf_url":null,"source":{"id":"https://openalex.org/S183149254","display_name":"Clinical Cancer Research","issn_l":"1078-0432","issn":["1078-0432","1557-3265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320273","host_organization_name":"American Association for Cancer Research","host_organization_lineage":["https://openalex.org/P4310320273"],"host_organization_lineage_names":["American Association for Cancer Research"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clinical Cancer Research","raw_type":"journal-article"},"volume":null,"type":"conference-abstract","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081613568","display_name":"Andr\u00e9 Khalil","orcid":"https://orcid.org/0000-0001-6020-2665","observed_orcids":["https://orcid.org/0000-0001-6020-2665"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andre Khalil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Joshua Hamilton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joshua Hamilton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118144079","display_name":"Anthony Attaya-Harris","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony Attaya-Harris","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076387887","display_name":"Christine W. Lary","orcid":"https://orcid.org/0000-0001-5399-9602","observed_orcids":["https://orcid.org/0000-0001-5399-9602"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christine Lary","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090674478","display_name":"Kendra A. Batchelder","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kendra Batchelder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"12_Supplement","first_page":"P2","last_page":"09"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9926999807357788,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9926999807357788,"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":0.0066999997943639755,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer-risk","display_name":"breast cancer risk","score":0.7889999747276306},{"id":"https://openalex.org/keywords/breast-density","display_name":"breast density","score":0.8930000066757202},{"id":"https://openalex.org/keywords/adipose-tissue","display_name":"adipose tissue","score":0.6759999990463257},{"id":"https://openalex.org/keywords/tumor-microenvironment","display_name":"tumor microenvironment","score":0.6850000023841858},{"id":"https://openalex.org/keywords/breast-cancer-prediction","display_name":"breast cancer prediction","score":0.546999990940094},{"id":"https://openalex.org/keywords/screening-mammography","display_name":"mammography screening","score":0.6200000047683716},{"id":"https://openalex.org/keywords/case-control-study","display_name":"case-control study","score":0.5239999890327454},{"id":"https://openalex.org/keywords/prediction-accuracy","display_name":"prediction accuracy","score":0.46700000762939453},{"id":"https://openalex.org/keywords/early-cancer-detection","display_name":"early cancer detection","score":0.41100001335144043},{"id":"https://openalex.org/keywords/tumor-invasion","display_name":"tumor invasion","score":0.38199999928474426},{"id":"https://openalex.org/keywords/breast-cancer-prevention","display_name":"breast cancer prevention","score":0.38100001215934753}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7178739309310913},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.683800220489502},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6164649128913879},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6122603416442871},{"id":"https://openalex.org/C3020109028","wikidata":"https://www.wikidata.org/wiki/Q9103","display_name":"Breast tissue","level":4,"score":0.5818092226982117},{"id":"https://openalex.org/C2909213482","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"MAMMOGRAPHIC DENSITY","level":5,"score":0.532914400100708},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.44190514087677},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3446611762046814},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.22737351059913635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.07638227939605713},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1158/1557-3265.sabcs24-p2-09-09","doi":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09","is_oa":false,"landing_page_url":"https://doi.org/10.1158/1557-3265.sabcs24-p2-09-09","pdf_url":null,"source":{"id":"https://openalex.org/S183149254","display_name":"Clinical Cancer Research","issn_l":"1078-0432","issn":["1078-0432","1557-3265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320273","host_organization_name":"American Association for Cancer Research","host_organization_lineage":["https://openalex.org/P4310320273"],"host_organization_lineage_names":["American Association for Cancer Research"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Clinical Cancer Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8371999859809875,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7048698620","https://openalex.org/W7130723518","https://openalex.org/W7099542908","https://openalex.org/W4312111805","https://openalex.org/W4391922056","https://openalex.org/W123817440","https://openalex.org/W7070979428","https://openalex.org/W2471620761","https://openalex.org/W3120578231","https://openalex.org/W2523938415"],"abstract_inverted_index":{"Abstract":[0],"Introduction:":[1],"Cancer":[2,506,524,635,648],"prediction":[3],"models":[4,439,464],"that":[5,46,97,118,144],"incorporate":[6],"mammographic":[7,81,100,201,278,321,453,624],"breast":[8,39,49,60,189,617],"density":[9,40,183],"measurements":[10],"with":[11,122,302],"other":[12,333],"clinical":[13,463],"factors":[14,450],"report":[15],"area":[16],"under":[17],"the":[18,33,145,165,179,267,274,303,308,319,341,348,355,360,363,378,388,394,410,421,425,441,452,477,487,494,502,511,516,631],"ROC":[19],"curve":[20],"(AUC)":[21],"ranges":[22],"from":[23,164,318,393,440,476],"0.56":[24,444],"to":[25,88,196,225,272,296,339,376,445,485],"0.62":[26],"[1].":[27,465],"A":[28,290,370],"major":[29],"challenge":[30],"in":[31,42,67,269,471],"exploring":[32],"links":[34,87],"between":[35,387],"cancer":[36,156,190,298,618],"risk":[37,157,619],"and":[38,58,84,126,147,243,250,256,314,328,366,390,418,424,468,491,505,513],"lies":[41],"tumor":[43,69,124],"microenvironment":[44],"changes":[45],"promote":[47],"a":[48,64,95,174],"tumorigenic":[50],"environment":[51],"[2,":[52],"3].":[53],"The":[54,323,382,402,414,466],"organization":[55],"of":[56,80,138,150,181,276,307,310,344,354,407,515,630],"stromal":[57],"glandular":[59],"tissue":[61,83,102,119,152,279,317,625],"subtypes":[62,79,153,184,626],"plays":[63],"crucial":[65],"role":[66],"influencing":[68],"invasion":[70],"[4].":[71],"However,":[72],"there":[73],"has":[74],"been":[75],"limited":[76],"research":[77],"on":[78,205,622],"dense":[82,101,151,284,288,316,623],"their":[85,231],"potential":[86,180,457],"risk.":[89],"To":[90],"address":[91],"this,":[92],"we":[93,142,172],"developed":[94,295,501],"method":[96,268],"can":[98],"segregate":[99],"into":[103,211,462],"two":[104],"textural":[105],"subtypes:":[106],"active,":[107],"which":[108,455],"is":[109,325,433],"structurally":[110],"reorganizing,":[111],"versus":[112],"passive":[113,283,312],"[5,":[114,270],"6].":[115],"We":[116,357,482],"found":[117],"restructuring":[120],"associates":[121],"early":[123],"onset":[125],"may":[127,154],"be":[128],"detectable":[129],"before":[130],"radiological":[131],"diagnosis":[132,226],"[7].":[133,158],"On":[134],"an":[135,459],"exploratory":[136],"set":[137],"longitudinal":[139],"screening":[140,202,217],"mammograms,":[141],"demonstrated":[143],"composition":[146],"temporal":[148],"dynamics":[149],"influence":[155],"Now,":[159],"using":[160,182],"13,323":[161],"mammography":[162,167],"screenings":[163],"OPTIMAM":[166,478,488,503,601],"image":[168],"database":[169,480],"[8,":[170],"9],":[171],"present":[173],"retrospective":[175],"case-control":[176],"analysis":[177],"demonstrating":[178],"as":[185],"predictive":[186,304,342,403],"metrics":[187],"for":[188,347,362,409,420,458],"at":[191,434,493],"three":[192,212],"time":[193],"points":[194],"prior":[195,224],"diagnosis.":[197],"Methods:":[198],"Standard":[199],"bilateral":[200],"views":[203],"acquired":[204],"Hologic\u2019s":[206],"Selenia":[207],"units":[208],"were":[209,264,392],"categorized":[210],"timeline":[213],"groups:":[214],"\u201cTime":[215,238,251],"0\u201d:":[216],"visits":[218],"no":[219],"more":[220],"than":[221],"1.5":[222,242],"years":[223,245,258],"(for":[227,235],"n=798":[228],"cases)":[229],"or":[230,286,437],"last":[232],"assessment":[233,620],"episode":[234],"n=3747":[236],"controls);":[237,249],"3\u201d:":[239],"those":[240,253],"within":[241,254],"4.5":[244,255],"(n=341":[246],"cases;":[247,260],"n=4908":[248],"6\u201d:":[252],"7.5":[257],"(n=97":[259],"n=3429":[261],"controls).":[262],"Mammograms":[263],"analyzed":[265],"following":[266],"6]":[271],"obtain":[273],"amount":[275],"each":[277],"subtype:":[280],"fatty":[281],"tissue,":[282,285],"active":[287,315],"tissue.":[289],"generalized":[291],"linear":[292],"model":[293,324,346,361,404,432],"was":[294,338,374,416],"predict":[297],"vs.":[299],"control":[300],"status":[301],"variables":[305],"consisting":[306],"amounts":[309],"fatty,":[311],"dense,":[313],"four":[320],"views.":[322],"strictly":[326],"image-based":[327],"does":[329],"not":[330],"consider":[331],"any":[332],"information.":[334],"Our":[335,431],"main":[336],"objective":[337],"assess":[340],"accuracy":[343],"this":[345,472],"Time":[349,364,367,383,411,422,426],"3":[350,384,412],"group":[351],"through":[352],"calculation":[353],"AUC.":[356],"also":[358],"assessed":[359],"6":[365,423],"0":[368,427],"groups.":[369],"Kolmogorov-Smirnoff":[371],"(KS)":[372],"test":[373,377,398],"used":[375,470],"age":[379],"populations.":[380],"Results:":[381],"patient":[385],"ages":[386],"cases":[389],"controls":[391],"same":[395],"distribution":[396],"(KS":[397],"p-value":[399],"=":[400],"0.14).":[401],"yielded":[405],"AUC":[406,415],"0.603":[408],"group.":[413],"0.595":[417],"0.614":[419],"groups,":[428],"respectively.":[429],"Conclusion:":[430],"least":[435],"comparable":[436],"outperforms":[438],"literature":[442],"(AUC":[443],"0.62),":[446],"but":[447],"without":[448],"additional":[449],"beyond":[451],"views,":[454],"shows":[456],"eventual":[460],"integration":[461],"images":[467],"data":[469],"publication":[473],"are":[474],"derived":[475],"imaging":[479],"[8].":[481],"would":[483],"like":[484],"acknowledge":[486],"project":[489],"team":[490],"staff":[492],"Royal":[495],"Surrey":[496],"NHS":[497],"Foundation":[498],"Trust":[499],"who":[500,509],"database,":[504],"Research":[507],"UK":[508],"funded":[510],"creation":[512],"maintenance":[514],"database.":[517],"References:":[518],"1.":[519],"Anandarajah":[520],"et":[521,532,542,555,566,576,584,591],"al.":[522,533,543,556,567,577,585,592],"Breast":[523,558,634],"Res,":[525],"2022.":[526],"24(1),":[527],"p.":[528,538,551,562,572,598],"101.":[529],"2.":[530],"Bissell":[531],"Nat":[534],"Med,":[535],"2011.":[536],"17(3):":[537],"320-9.":[539],"3.":[540],"Tanner":[541],"Proc":[544],"Natl":[545],"Acad":[546],"Sci":[547],"USA,":[548],"2012.":[549],"109(6):":[550],"1973-8.":[552],"4.":[553],"Nazari":[554],"J":[557],"Cancer,":[559],"2018.":[560],"25(3):":[561],"259-267.":[563],"5.":[564],"Marin":[565],"Med":[568],"Phys,":[569],"2017.":[570],"44(4):":[571],"1324-36.":[573],"6.":[574],"Gerasimova-Chechkina":[575],"Front":[578],"Physiol,":[579],"2021.":[580,596],"12(595).":[581],"7.":[582],"Batchelder":[583],"medRxiv":[586],"Preprint":[587],"2024.02.17.24302978.":[588],"8.":[589],"Halling-Brown":[590],"Radiol":[593],"Artif":[594],"Intel,":[595],"3(1):":[597],"e200103.":[599],"9.":[600],"(OMI-DB)":[602],"project:https://medphys.royalsurrey.nhs.uk/omidb/about-omi-db/.":[603],"Citation":[604],"Format:":[605],"Andre":[606],"Khalil,":[607],"Joshua":[608],"Hamilton,":[609],"Anthony":[610],"Attaya-Harris,":[611],"Christine":[612],"Lary,":[613],"Kendra":[614],"Batchelder.":[615],"Image-based":[616],"based":[621],"[abstract].":[627],"In:":[628],"Proceedings":[629],"San":[632,641],"Antonio":[633],"Symposium":[636],"2024;":[637],"2024":[638],"Dec":[639],"10-13;":[640],"Antonio,":[642],"TX.":[643],"Philadelphia":[644],"(PA):":[645],"AACR;":[646],"Clin":[647],"Res":[649],"2025;31(12":[650],"Suppl):Abstract":[651],"nr":[652],"P2-09-09.":[653]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
