{"id":"https://openalex.org/W2918683118","doi":"https://doi.org/10.1117/12.2513151","title":"Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?","display_name":"Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2918683118","doi":"https://doi.org/10.1117/12.2513151","mag":"2918683118"},"language":"en","primary_location":{"id":"doi:10.1117/12.2513151","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513151","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/A5039348608","display_name":"Ziba Gandomkar","orcid":"https://orcid.org/0000-0001-6480-3572"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ziba Gandomkar","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070057840","display_name":"Ernest Ekpo","orcid":"https://orcid.org/0000-0002-6851-0969"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ernest U. Ekpo","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056941899","display_name":"Sarah Lewis","orcid":"https://orcid.org/0000-0002-4791-9845"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sarah J. Lewis","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020760761","display_name":"Karla K. Evans","orcid":"https://orcid.org/0000-0002-8440-1711"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karla K. Evans","raw_affiliation_strings":["Univ. of York (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of York (United Kingdom)","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082307735","display_name":"Kriscia Tapia","orcid":"https://orcid.org/0000-0002-3210-8046"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kriscia A. Tapia","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080163355","display_name":"Phuong Dung Trieu","orcid":"https://orcid.org/0000-0001-7021-6331"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Phuong Dung Trieu","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047174975","display_name":"Jeremy M. Wolfe","orcid":"https://orcid.org/0000-0002-6475-1984"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy M. Wolfe","raw_affiliation_strings":["Harvard Medical School (United States)"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School (United States)","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034083660","display_name":"Patrick Brennan","orcid":"https://orcid.org/0000-0001-8611-7258"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Patrick C. Brennan","raw_affiliation_strings":["The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5039348608"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.508,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6657995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"113","issue":null,"first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11894","display_name":"Radiology practices and education","score":0.9991000294685364,"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/T11894","display_name":"Radiology practices and education","score":0.9991000294685364,"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":0.9983999729156494,"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":0.9965000152587891,"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/abnormality","display_name":"Abnormality","score":0.840687096118927},{"id":"https://openalex.org/keywords/gist","display_name":"GiST","score":0.7772988677024841},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6290298700332642},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6251185536384583},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5953478217124939},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5427120327949524},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.5305925607681274},{"id":"https://openalex.org/keywords/spearmans-rank-correlation-coefficient","display_name":"Spearman's rank correlation coefficient","score":0.4356447756290436},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.42330318689346313},{"id":"https://openalex.org/keywords/biopsy","display_name":"Biopsy","score":0.41912591457366943},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.37691807746887207},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21333476901054382},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18727168440818787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1512230634689331},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.08765909075737}],"concepts":[{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.840687096118927},{"id":"https://openalex.org/C2775922572","wikidata":"https://www.wikidata.org/wiki/Q83567","display_name":"GiST","level":3,"score":0.7772988677024841},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6290298700332642},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6251185536384583},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5953478217124939},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5427120327949524},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.5305925607681274},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.4356447756290436},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.42330318689346313},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.41912591457366943},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37691807746887207},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21333476901054382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18727168440818787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1512230634689331},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.08765909075737},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C16930146","wikidata":"https://www.wikidata.org/wiki/Q4381253","display_name":"Stromal cell","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2513151","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513151","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","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2001867432","https://openalex.org/W2021551519","https://openalex.org/W2022413864","https://openalex.org/W2043547815","https://openalex.org/W2057198403","https://openalex.org/W2070182363","https://openalex.org/W2071658354","https://openalex.org/W2100600008","https://openalex.org/W2101686803","https://openalex.org/W2112552549","https://openalex.org/W2136024742","https://openalex.org/W2806905600","https://openalex.org/W2827113477","https://openalex.org/W4298334591","https://openalex.org/W6650966561","https://openalex.org/W6664654746","https://openalex.org/W6675134017","https://openalex.org/W6676726796","https://openalex.org/W6725492196"],"related_works":["https://openalex.org/W2562018983","https://openalex.org/W3085398489","https://openalex.org/W4400233955","https://openalex.org/W2238448126","https://openalex.org/W4200439127","https://openalex.org/W4232475722","https://openalex.org/W4361792233","https://openalex.org/W2463069270","https://openalex.org/W2560331580","https://openalex.org/W2949627706"],"abstract_inverted_index":{"This":[0],"study":[1,171],"measured":[2],"the":[3,6,9,12,30,36,53,88,133,159,162,165,169,176,186,195,198,208,226,231],"correlation":[4,199],"between":[5,164,201],"magnitude":[7],"of":[8,11,29,50,87,99,135,143,148,158,185,233],"presence":[10,232],"abnormality":[13,63,166,202],"gist":[14,54,170,227],"and":[15,22,40,59,107,130,172,204,216,244],"case":[16,129,144],"difficulty":[17,145],"based":[18],"on":[19,65],"standard":[20,105],"presentation":[21,86,106],"reporting":[23,108],"mechanisms":[24,236],"for":[25,45,207,217],"80":[26],"cases.":[27],"Half":[28],"cases":[31,125],"contained":[32],"biopsy-proven":[33],"cancer":[34,218,251],"while":[35],"remainder":[37],"were":[38,188],"normal":[39,196],"confirmed":[41],"to":[42,72,76,114,214,220,248],"be":[43,246],"cancer-free":[44],"at":[46,100,122],"least":[47,101,123],"two":[48],"years":[49],"follow-up.":[51],"In":[52],"experiment,":[55],"seventeen":[56],"breast":[57,250],"radiologists":[58,103],"physicians":[60],"gave":[61],"an":[62,140],"score":[64],"a":[66,81,96,152],"scale":[67],"from":[68,168,175,191,212],"0":[69],"(confident":[70,74],"normal)":[71],"100":[73],"abnormal)":[75],"unilateral":[77],"CC":[78],"mammograms":[79],"following":[80],"very":[82],"brief,":[83],"500":[84],"millisecond":[85],"image.":[89],"Independently,":[90],"each":[91,128,131,157],"mammogram":[92],"was":[93,179],"assessed":[94],"by":[95],"separate":[97],"sample":[98],"40":[102],"using":[104,181,235],"mechanisms,":[109],"with":[110],"these":[111],"readers":[112,120,210],"asked":[113],"locate":[115],"any":[116],"cancers":[117],"present.":[118],"All":[119],"reported":[121],"1000":[124],"annually.":[126],"For":[127,156,194],"category,":[132],"percentage":[134],"correct":[136,149],"reports":[137,178],"served":[138],"as":[139],"objective":[141],"measure":[142],"(lower":[146],"rate":[147],"report":[150],"shows":[151],"more":[153],"difficult":[154],"case).":[155],"17":[160,209],"readers,":[161],"association":[163],"scores":[167,203],"detection":[173,205],"rates":[174,206],"earlier":[177],"examined":[180],"Spearman":[182],"correlation.":[183],"None":[184],"coefficients":[187],"significantly":[189],"different":[190],"zero":[192],"(p<0.05).":[193],"cases,":[197],"coefficient":[200],"ranged":[211],"-0.262":[213],"0.258,":[215],"-0.180":[219],"0.309.":[221],"The":[222],"results":[223],"suggest":[224],"that":[225],"signal":[228],"may":[229],"indicate":[230],"cancer,":[234],"other":[237],"than":[238],"those":[239],"employed":[240],"in":[241],"usual":[242],"reporting,":[243],"might":[245],"exploited":[247],"improve":[249],"detection.":[252]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}