{"id":"https://openalex.org/W2793632960","doi":"https://doi.org/10.1117/12.2293368","title":"Temporal assessment of radiomic features on clinical mammography in a high-risk population","display_name":"Temporal assessment of radiomic features on clinical mammography in a high-risk population","publication_year":2018,"publication_date":"2018-02-27","ids":{"openalex":"https://openalex.org/W2793632960","doi":"https://doi.org/10.1117/12.2293368","mag":"2793632960"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293368","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293368","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":"conference-paper","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/A5017524856","display_name":"Kayla R. Mendel","orcid":"https://orcid.org/0000-0002-4271-1711"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayla R. Mendel","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103161734","display_name":"Randa El\u2010Zein","orcid":"https://orcid.org/0000-0002-0750-4143"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randa El-Zein","raw_affiliation_strings":["The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006696681","display_name":"Gary J. Whitman","orcid":"https://orcid.org/0000-0003-2002-7457"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary J. Whitman","raw_affiliation_strings":["The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423976","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-3139-2898"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373011","display_name":"Lan Li","orcid":"https://orcid.org/0000-0002-0038-1953"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Lan","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066330588","display_name":"C. W. Chan","orcid":"https://orcid.org/0000-0001-8261-1101"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Wai Chan","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089943643","display_name":"Lauren M. King","orcid":"https://orcid.org/0000-0003-2060-7021"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren M. King","raw_affiliation_strings":["The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062515397","display_name":"Nabihah Tayob","orcid":"https://orcid.org/0000-0001-6088-167X"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nabihah Tayob","raw_affiliation_strings":["The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085458148","display_name":"Isabelle Bedrosian","orcid":"https://orcid.org/0000-0002-8775-8361"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isabelle Bedrosian","raw_affiliation_strings":["The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049042648","display_name":"Maryellen L. Giger","orcid":"https://orcid.org/0000-0001-5482-9728"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryellen L. Giger","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"5","issue":null,"first_page":"134","last_page":"134"},"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":1.0,"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":1.0,"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":0.9977999925613403,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9976000189781189,"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/radiomics","display_name":"Radiomics","score":0.6813678741455078},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6474841833114624},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6149460077285767},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.606297492980957},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.47550874948501587},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43684422969818115},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4254443645477295},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4221591353416443},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3736501634120941},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3559900224208832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3387155532836914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20448628067970276},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12772667407989502}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.6813678741455078},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6474841833114624},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6149460077285767},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.606297492980957},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.47550874948501587},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43684422969818115},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4254443645477295},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4221591353416443},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3736501634120941},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3559900224208832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3387155532836914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20448628067970276},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12772667407989502},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293368","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293368","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":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1531194977","https://openalex.org/W2021940526","https://openalex.org/W2023665217","https://openalex.org/W2060185596","https://openalex.org/W2111198437","https://openalex.org/W2121044470","https://openalex.org/W2132735969","https://openalex.org/W2146787063","https://openalex.org/W2168000614","https://openalex.org/W2174661749","https://openalex.org/W2289073724","https://openalex.org/W2306479144","https://openalex.org/W2605851261","https://openalex.org/W2753963273","https://openalex.org/W6678230397","https://openalex.org/W6698016830","https://openalex.org/W6744025405"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W3030796519","https://openalex.org/W4383892348","https://openalex.org/W4390866092"],"abstract_inverted_index":{"Extraction":[0],"of":[1,48,51,60,140,147,196,203,242,257],"high-dimensional":[2],"quantitative":[3],"data":[4],"from":[5,68,179,220],"medical":[6,26,32],"images":[7,33,67],"has":[8],"become":[9],"necessary":[10],"in":[11,41,117,137,188,225,251,260],"disease":[12],"risk":[13,233,261],"assessment,":[14],"diagnostics":[15],"and":[16,153,193,208],"prognostics.":[17],"Radiomic":[18],"workflows":[19],"for":[20,28,36,57,214,232],"mammography":[21],"typically":[22],"involve":[23],"a":[24,100,145],"single":[25],"image":[27],"each":[29],"patient":[30],"although":[31],"may":[34,229],"exist":[35],"multiple":[37,55,160],"imaging":[38],"exams,":[39],"especially":[40],"screening":[42],"protocols.":[43],"Our":[44],"study":[45,64],"takes":[46],"advantage":[47],"the":[49,58,112,119,138,166,181,255],"availability":[50],"mammograms":[52,158],"acquired":[53,99],"over":[54,159,199,227],"years":[56],"prediction":[59],"cancer":[61,81,151],"onset.":[62],"This":[63],"included":[65],"841":[66],"328":[69],"patients":[70],"who":[71],"developed":[72],"subsequent":[73],"mammographic":[74],"abnormalities,":[75],"which":[76,118],"were":[77,124,135,170],"confirmed":[78],"as":[79],"either":[80],"(n=173)":[82],"or":[83,102],"non-cancer":[84,155],"(n=155)":[85],"through":[86],"diagnostic":[87,106],"core":[88],"needle":[89],"biopsy.":[90,107],"Quantitative":[91],"radiomic":[92,129,168],"analysis":[93],"was":[94,109],"conducted":[95],"on":[96,144,254],"antecedent":[97],"FFDMs":[98],"year":[101],"more":[103],"prior":[104],"to":[105,111,115,126],"Analysis":[108],"limited":[110],"breast":[113],"contralateral":[114,184],"that":[116,223,238],"abnormality":[120],"arose.":[121],"Novel":[122],"metrics":[123],"used":[125],"identify":[127],"robust":[128,133,167],"features.":[130],"The":[131,212],"most":[132,182],"features":[134,169,178],"evaluated":[136],"task":[139],"predicting":[141],"future":[142],"malignancies":[143],"subset":[146],"72":[148],"subjects":[149],"(23":[150],"cases":[152],"49":[154],"controls)":[156],"with":[157],"years.":[161],"Using":[162],"linear":[163],"discriminant":[164],"analysis,":[165],"merged":[171],"into":[172],"predictive":[173],"signatures":[174],"by:":[175],"(i)":[176],"using":[177],"only":[180],"recent":[183],"mammogram,":[185],"(ii)":[186],"change":[187],"feature":[189,197],"values":[190,198],"between":[191],"mammograms,":[192],"(iii)":[194],"ratio":[195],"time,":[200],"yielding":[201],"AUCs":[202,213],"0.57":[204],"(SE=0.07),":[205],"0.63":[206],"(SE=0.06),":[207,210],"0.66":[209],"respectively.":[211],"temporal":[215,258],"radiomics":[216,226,259],"(ratio)":[217],"statistically":[218],"differed":[219],"chance,":[221],"suggesting":[222],"changes":[224],"time":[228],"be":[230],"critical":[231],"assessment.":[234,262],"Overall,":[235],"we":[236],"found":[237],"our":[239,252],"two-stage":[240],"process":[241],"robustness":[243],"assessment":[244],"followed":[245],"by":[246],"performance":[247],"evaluation":[248],"served":[249],"well":[250],"investigation":[253],"role":[256]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
