{"id":"https://openalex.org/W2792629498","doi":"https://doi.org/10.1117/12.2287556","title":"Applying a new mammographic imaging marker to predict breast cancer risk","display_name":"Applying a new mammographic imaging marker to predict breast cancer risk","publication_year":2018,"publication_date":"2018-02-27","ids":{"openalex":"https://openalex.org/W2792629498","doi":"https://doi.org/10.1117/12.2287556","mag":"2792629498"},"language":"en","primary_location":{"id":"doi:10.1117/12.2287556","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2287556","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","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/A5035793315","display_name":"Faranak Aghaei","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faranak Aghaei","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003646582","display_name":"Seyedehnafiseh Mirniaharikandehei","orcid":"https://orcid.org/0000-0002-1070-4517"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedehnafiseh Mirniaharikandehei","raw_affiliation_strings":["The Univ. of Oklahoma  (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma  (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015073323","display_name":"Alan B. Hollingsworth","orcid":"https://orcid.org/0000-0002-7856-6798"},"institutions":[{"id":"https://openalex.org/I4210165260","display_name":"Mercy Health","ror":"https://ror.org/054bs2v13","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165260"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan B. Hollingsworth","raw_affiliation_strings":["Mercy Health Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mercy Health Ctr. (United States)","institution_ids":["https://openalex.org/I4210165260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001440302","display_name":"Rebecca G. Stoug","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165260","display_name":"Mercy Health","ror":"https://ror.org/054bs2v13","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165260"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca  G. Stoug","raw_affiliation_strings":["Mercy Health Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mercy Health Ctr. (United States)","institution_ids":["https://openalex.org/I4210165260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073162981","display_name":"melanie pearce","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165260","display_name":"Mercy Health","ror":"https://ror.org/054bs2v13","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165260"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melanie Pearce","raw_affiliation_strings":["Mercy Health Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mercy Health Ctr. (United States)","institution_ids":["https://openalex.org/I4210165260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410286","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-0896-8409"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045998635","display_name":"Bin Zheng","orcid":"https://orcid.org/0000-0002-7682-6648"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57836395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"131","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10556","display_name":"Global Cancer Incidence and Screening","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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","display_name":"Breast cancer","score":0.8051875829696655},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7925907373428345},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7200461626052856},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.5942015647888184},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.5783265233039856},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5402630567550659},{"id":"https://openalex.org/keywords/odds-ratio","display_name":"Odds ratio","score":0.47501644492149353},{"id":"https://openalex.org/keywords/bi-rads","display_name":"BI-RADS","score":0.46234646439552307},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.45426151156425476},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.42521220445632935},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3402937650680542},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.30660876631736755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.13466551899909973}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.8051875829696655},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7925907373428345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7200461626052856},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.5942015647888184},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.5783265233039856},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5402630567550659},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.47501644492149353},{"id":"https://openalex.org/C2779098232","wikidata":"https://www.wikidata.org/wiki/Q903975","display_name":"BI-RADS","level":5,"score":0.46234646439552307},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.45426151156425476},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.42521220445632935},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3402937650680542},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30660876631736755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.13466551899909973},{"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:10.1117/12.2287556","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2287556","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1995244346","https://openalex.org/W2000530780","https://openalex.org/W2014379348","https://openalex.org/W2064473418","https://openalex.org/W2074020279","https://openalex.org/W2074072216","https://openalex.org/W2079019493","https://openalex.org/W2094722563","https://openalex.org/W2097475056","https://openalex.org/W2100159406","https://openalex.org/W2105722841","https://openalex.org/W2112036953","https://openalex.org/W2129017343","https://openalex.org/W2143405692","https://openalex.org/W2152992560","https://openalex.org/W2155140373","https://openalex.org/W2158732932","https://openalex.org/W2163905093","https://openalex.org/W2293958309","https://openalex.org/W2339824777","https://openalex.org/W2342295631","https://openalex.org/W2343217573","https://openalex.org/W2557738935","https://openalex.org/W2586046447","https://openalex.org/W2603403091","https://openalex.org/W2606915180","https://openalex.org/W2618052002","https://openalex.org/W2738131713","https://openalex.org/W4229719608","https://openalex.org/W4254787950","https://openalex.org/W6697371245","https://openalex.org/W6733005257","https://openalex.org/W6737041387"],"related_works":["https://openalex.org/W2330711938","https://openalex.org/W2144299087","https://openalex.org/W4224140527","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W1993531705","https://openalex.org/W3197491245","https://openalex.org/W2086543716","https://openalex.org/W1966034269","https://openalex.org/W2770114997"],"abstract_inverted_index":{"Identifying":[0],"and":[1,105,117,152,190,206],"developing":[2],"new":[3,62,71,234],"mammographic":[4,22,73,80,166],"imaging":[5,74,180,235],"markers":[6],"to":[7,46,68,84,126,185,217,219,239,245],"assist":[8],"prediction":[9],"of":[10,87,163,223],"breast":[11,28,39,52,248],"cancer":[12,29,40,53,88,224,249],"risk":[13,86,183,222],"has":[14],"been":[15],"attracting":[16],"extensive":[17],"research":[18],"interest":[19],"recently.":[20],"Although":[21],"density":[23,82,167],"is":[24,34,43,159,204],"considered":[25],"an":[26,212],"important":[27],"risk,":[30,41],"its":[31],"discriminatory":[32,243],"power":[33,244],"lower":[35],"for":[36],"predicting":[37],"short-term":[38,247],"which":[42,146],"a":[44,48,61,70,121,201],"prerequisite":[45],"establish":[47],"more":[49],"effective":[50],"personalized":[51],"screening":[54],"paradigm.":[55],"In":[56,136],"this":[57,233],"study,":[58],"we":[59],"presented":[60],"interactive":[63],"computer-aided":[64],"detection":[65,89,225],"(CAD)":[66],"scheme":[67],"generate":[69],"quantitative":[72],"marker":[75,181,236],"based":[76,165],"on":[77],"the":[78,91,115,178,198,207,221,227],"bilateral":[79],"tissue":[81],"asymmetry":[83],"predict":[85,220,246],"in":[90,226],"next":[92],"subsequent":[93],"mammography":[94,112],"screening.":[95,229],"An":[96],"image":[97],"database":[98],"involving":[99],"1,397":[100],"women":[101],"was":[102],"retrospectively":[103],"assembled":[104],"tested.":[106],"Each":[107],"woman":[108],"had":[109,237],"two":[110],"digital":[111],"screenings":[113,119],"namely,":[114],"\u201ccurrent\u201d":[116,137,228],"\u201cprior\u201d":[118,130,195],"with":[120],"time":[122],"interval":[123],"from":[124,215],"365":[125],"600":[127],"days.":[128],"All":[129],"images":[131],"were":[132,141],"originally":[133],"interpreted":[134],"negative.":[135],"screenings,":[138],"these":[139],"cases":[140,193],"divided":[142],"into":[143],"3":[144,170],"groups,":[145],"include":[147],"402":[148,188],"positive,":[149],"643":[150,191],"negative,":[151],"352":[153],"biopsy-proved":[154],"benign":[155],"cases,":[156],"respectively.":[157],"There":[158],"no":[160],"significant":[161],"difference":[162],"BIRADS":[164],"ratings":[168],"between":[169,187],"case":[171],"groups":[172],"(p":[173],"<":[174],"0.6).":[175],"When":[176],"applying":[177],"CAD-generated":[179],"or":[182],"model":[184],"classify":[186],"positive":[189],"negative":[192,196],"using":[194],"mammograms,":[197],"area":[199],"under":[200],"ROC":[202],"curve":[203],"0.70±0.02":[205],"adjusted":[208],"odds":[209],"ratios":[210],"show":[211],"increasing":[213],"trend":[214],"1.0":[216],"8.13":[218],"Study":[230],"demonstrated":[231],"that":[232],"potential":[238],"yield":[240],"significantly":[241],"higher":[242],"risk.":[250]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}