{"id":"https://openalex.org/W4221068896","doi":"https://doi.org/10.1117/12.2611621","title":"Test-set training is linked to increased breast screening cancer detection rates","display_name":"Test-set training is linked to increased breast screening cancer detection rates","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4221068896","doi":"https://doi.org/10.1117/12.2611621"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611621","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: 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/A5087907164","display_name":"Basel Qenam","orcid":"https://orcid.org/0000-0003-4891-6723"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]},{"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","SA"],"is_corresponding":true,"raw_author_name":"Basel A. Qenam","raw_affiliation_strings":["King Saud Univ. (Saudi Arabia)","The Univ. of Sydney (Australia)"],"affiliations":[{"raw_affiliation_string":"King Saud Univ. (Saudi Arabia)","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"The Univ. of Sydney (Australia)","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359064","display_name":"Tong Li","orcid":"https://orcid.org/0000-0003-4956-765X"},"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":"Tong Li","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":"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":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087907164"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":0.1046,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42884932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"32","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5482792854309082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441670417785645},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5148329138755798},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.49398308992385864},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4795655608177185},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47590574622154236},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4282628297805786},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3122669756412506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29076117277145386},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15362107753753662},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12363463640213013}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5482792854309082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441670417785645},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5148329138755798},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.49398308992385864},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4795655608177185},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47590574622154236},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4282628297805786},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3122669756412506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29076117277145386},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15362107753753662},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12363463640213013},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611621","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1938908299","https://openalex.org/W1980527762","https://openalex.org/W1999895518","https://openalex.org/W2065575050","https://openalex.org/W2152525534","https://openalex.org/W2582153583","https://openalex.org/W2905902919","https://openalex.org/W2920290056","https://openalex.org/W2982962517","https://openalex.org/W3020983734","https://openalex.org/W3042436525","https://openalex.org/W3089075967","https://openalex.org/W3130505019","https://openalex.org/W4241993502","https://openalex.org/W6783533910"],"related_works":["https://openalex.org/W2154177135","https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W2252747487","https://openalex.org/W4307413935","https://openalex.org/W2971899271"],"abstract_inverted_index":{"Mammographic":[0],"test":[1,176],"sets":[2,177],"are":[3],"a":[4],"simulation-based":[5],"training":[6,56],"methodology":[7],"for":[8,116],"radiologists":[9],"to":[10,69,157,167,180],"assess":[11],"and":[12,126,133,148],"improve":[13],"their":[14,98,107,141],"performance.":[15],"However,":[16],"while":[17],"test-set":[18,55,76,153],"records":[19],"have":[20,65,72],"indicated":[21,93],"over-time":[22],"improvements":[23,36],"in":[24,42,57,67,88,104,122,144,174,178],"participants'":[25],"performance":[26,41,50],"within":[27],"the":[28,43,49,58,127,168,175],"tests,":[29],"little":[30],"is":[31,155],"known":[32],"about":[33],"how":[34,48],"those":[35],"translate":[37],"into":[38],"breast-screening":[39],"readers\u2019":[40],"clinic.":[44],"This":[45],"study":[46],"investigated":[47],"of":[51,75,83,130,160,171],"readers":[52,70,87,96,139],"who":[53,71],"completed":[54],"BreastScreen":[59],"Reader":[60],"Assessment":[61],"Strategy":[62],"(BREAST)":[63],"platform":[64],"evolved":[66],"comparison":[68,179],"no":[73],"history":[74],"participation.":[77,109],"Investigating":[78],"10-year":[79],"clinical":[80],"audit":[81],"data":[82],"46":[84],"breast":[85],"screening":[86],"New":[89],"South":[90],"Wales,":[91],"Australia":[92],"that":[94],"BREAST":[95],"improved":[97,140],"positive":[99],"predictive":[100],"value":[101],"(PPV)":[102],"(p=0.001)":[103],"association":[105],"with":[106],"testset":[108],"They":[110],"also":[111],"had":[112],"higher":[113],"detection":[114,128],"rates":[115],"invasive":[117],"cancers":[118,132],"(p=0.01),":[119],"ductal":[120],"carcinoma":[121],"situ":[123],"(DCIS)":[124],"(p=0.03),":[125],"rate":[129,143],"all":[131],"DCIS":[134],"(p=0.01).":[135],"In":[136,151],"comparison,":[137],"non-BREAST":[138],"recall":[142],"subsequent":[145],"screens":[146],"(p=0.03)":[147],"PPV":[149],"(p=0.02).":[150],"conclusion,":[152],"participation":[154],"linked":[156],"enhanced":[158],"capability":[159],"cancer":[161,172],"detection,":[162],"which":[163],"can":[164],"be":[165],"due":[166],"high":[169],"proportion":[170],"cases":[173],"normal":[181],"practice.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}