{"id":"https://openalex.org/W2918640004","doi":"https://doi.org/10.1117/12.2512802","title":"Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction","display_name":"Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2918640004","doi":"https://doi.org/10.1117/12.2512802","mag":"2918640004"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512802","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","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/A5044959175","display_name":"Morteza Heidari","orcid":"https://orcid.org/0000-0003-0922-787X"},"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":true,"raw_author_name":"Morteza Heidari","raw_affiliation_strings":["Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"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":["Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030825900","display_name":"Abolfazl Zargari Khuzani","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":"Abolfazl Zargari Khuzani","raw_affiliation_strings":["Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108101897","display_name":"Yuchen Qiu","orcid":"https://orcid.org/0009-0009-2826-9654"},"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":"Yuchen Qiu","raw_affiliation_strings":["Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"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":["Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044959175"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.3387,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61285358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.965499997138977,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.965499997138977,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9161999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6829426288604736},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6590831279754639},{"id":"https://openalex.org/keywords/mammographic-density","display_name":"MAMMOGRAPHIC DENSITY","score":0.5878000855445862},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.4623910188674927},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4002176821231842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34019893407821655},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3329656422138214},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3323250412940979},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2246490716934204}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6829426288604736},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6590831279754639},{"id":"https://openalex.org/C2909213482","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"MAMMOGRAPHIC DENSITY","level":5,"score":0.5878000855445862},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.4623910188674927},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4002176821231842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34019893407821655},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3329656422138214},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3323250412940979},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2246490716934204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512802","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1583881632","https://openalex.org/W3122972499","https://openalex.org/W2989121736","https://openalex.org/W2892677547","https://openalex.org/W2105667964","https://openalex.org/W2076908053","https://openalex.org/W2117952144","https://openalex.org/W1967579262","https://openalex.org/W2509292686","https://openalex.org/W3012112151"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,9,80,130,177,219,225,244],"this":[3],"study":[4,222],"is":[5,76,207,213],"to":[6,17,49,100,114,134,166,173,193,231,238],"assess":[7],"feasibility":[8,224],"applying":[10,190,226],"a":[11,44,139,155,159,168,178,204,227,241],"new":[12,93,169,242],"quantitative":[13,170,228],"mammographic":[14,83,117],"imaging":[15,171,229],"marker":[16,172,230],"predict":[18,174,232],"short-term":[19,233],"breast":[20,69,246],"cancer":[21,70,182,234,247],"risk.":[22],"An":[23],"image":[24,95,111],"dataset":[25],"involving":[26],"1,044":[27],"women":[28,65],"was":[29,98,164],"retrospectively":[30],"assembled.":[31],"Each":[32],"woman":[33,179],"had":[34],"two":[35],"sequential":[36],"\u201ccurrent\u201d":[37,62],"and":[38,71,109,125,138,151,198,209],"\u201cprior\u201d":[39,53,107],"digital":[40],"mammography":[41],"screenings":[42,108],"with":[43,68,215],"time":[45],"interval":[46,218],"from":[47,105,148],"12":[48],"18":[50],"months.":[51],"All":[52],"images":[54],"were":[55,66],"originally":[56],"interpreted":[57],"negative":[58,102,200],"by":[59],"radiologists.":[60],"In":[61],"screenings,":[63],"402":[64,196],"diagnosed":[67],"642":[72,199],"remained":[73],"negative.":[74],"There":[75],"no":[77],"significant":[78],"difference":[79],"BIRADS":[81],"based":[82],"density":[84,118],"ratings":[85],"between":[86,122,195],"three":[87],"case":[88],"groups":[89],"(p":[90],"&gt;0.6).":[91],"A":[92,128],"computer-aided":[94,141],"processing":[96],"scheme":[97,143],"applied":[99],"process":[101],"mammograms":[103],"acquired":[104],"the":[106,115,123,175,184,191,210],"compute":[110],"features":[112,132,137],"related":[113,133],"bilateral":[116],"or":[119],"tissue":[120],"asymmetry":[121],"left":[124],"right":[126],"breasts.":[127],"group":[129],"30":[131],"GLCM":[135],"texture":[136],"conventional":[140],"detection":[142],"generated":[144],"results":[145],"are":[146],"extracted":[147],"both":[149],"CC":[150],"MLO":[152],"views.":[153],"Using":[154],"leave-one-case-out":[156],"cross-validation":[157],"method,":[158],"support":[160],"vector":[161],"machine":[162],"model":[163,192],"developed":[165],"produce":[167],"likelihood":[176],"having":[180],"mammography-detectable":[181],"in":[183],"next":[185],"subsequent":[186],"(\u201ccurrent\u201d)":[187],"screening.":[188,248],"When":[189],"classify":[194],"positive":[197],"cases,":[201],"area":[202],"under":[203],"ROC":[205],"curve":[206],"0.70&minus;0.02":[208],"odds":[211],"ratios":[212],"6.93":[214],"95%":[216],"confidence":[217],"[4.80,10.01].":[220],"This":[221],"demonstrated":[223],"risk,":[235],"which":[236],"aims":[237],"help":[239],"establish":[240],"paradigm":[243],"personalized":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
