{"id":"https://openalex.org/W2592823899","doi":"https://doi.org/10.1117/12.2254291","title":"Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?","display_name":"Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?","publication_year":2017,"publication_date":"2017-03-03","ids":{"openalex":"https://openalex.org/W2592823899","doi":"https://doi.org/10.1117/12.2254291","mag":"2592823899"},"language":"en","primary_location":{"id":"doi:10.1117/12.2254291","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254291","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/en/publications/4a207a8a-b1cb-46d2-8458-c3c0a4c7cddf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062674507","display_name":"Joseph Ryan Wong Sik Hee","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joseph Ryan Wong Sik Hee","raw_affiliation_strings":["The Univ. of Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Manchester (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050686707","display_name":"Elaine F. Harkness","orcid":"https://orcid.org/0000-0001-6625-7739"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Elaine F. Harkness","raw_affiliation_strings":["The Univ. of Manchester (United Kingdom)","Univ. Hospital South Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Manchester (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Univ. Hospital South Manchester (United Kingdom)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110262424","display_name":"Soujanya Gadde","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soujanya Gadde","raw_affiliation_strings":["Univ. Hospital of South Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105529701","display_name":"Yit Yoong Lim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yit Y. Lim","raw_affiliation_strings":["Univ. Hospital of South Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044979615","display_name":"Anthony Maxwell","orcid":"https://orcid.org/0000-0001-8344-4958"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anthony J. Maxwell","raw_affiliation_strings":["The Univ. of Manchester  (United Kingdom)","Univ. Hospital of South Manchester (United Kingdom)","The Univ. of Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Manchester  (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]},{"raw_affiliation_string":"The Univ. of Manchester (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087003938","display_name":"D. Gareth Evans","orcid":"https://orcid.org/0000-0002-8482-5784"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D. Gareth Evans","raw_affiliation_strings":["Univ. Hospital of South Manchester (United Kingdom)","The Univ. of Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]},{"raw_affiliation_string":"The Univ. of Manchester (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058219705","display_name":"Anthony Howell","orcid":"https://orcid.org/0000-0002-6233-719X"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anthony Howell","raw_affiliation_strings":["Univ. Hospital of South Manchester (United Kingdom)","The Univ. of Manchester  (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]},{"raw_affiliation_string":"The Univ. of Manchester  (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113042086","display_name":"Susan Astley","orcid":"https://orcid.org/0000-0002-2989-2765"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Susan M. Astley","raw_affiliation_strings":["The Univ. of Manchester (United Kingdom)","Univ. Hospital of South Manchester (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Manchester (United Kingdom)","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Univ. Hospital of South Manchester (United Kingdom)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56353563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10134","issue":null,"first_page":"101342P","last_page":"101342P"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":1.0,"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/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9919999837875366,"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/mammographic-density","display_name":"MAMMOGRAPHIC DENSITY","score":0.7618494033813477},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6607639193534851},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6094481348991394},{"id":"https://openalex.org/keywords/breast-density","display_name":"Breast density","score":0.47865331172943115},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.44852203130722046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4135051369667053},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3305839002132416},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3276006579399109},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2920750379562378},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20396631956100464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1674795150756836}],"concepts":[{"id":"https://openalex.org/C2909213482","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"MAMMOGRAPHIC DENSITY","level":5,"score":0.7618494033813477},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6607639193534851},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6094481348991394},{"id":"https://openalex.org/C3018951153","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast density","level":5,"score":0.47865331172943115},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.44852203130722046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4135051369667053},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3305839002132416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3276006579399109},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2920750379562378},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20396631956100464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1674795150756836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2254291","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254291","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/4a207a8a-b1cb-46d2-8458-c3c0a4c7cddf","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/4a207a8a-b1cb-46d2-8458-c3c0a4c7cddf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wong Sik Hee, J, Harkness, E, Gadde, S, Lim, Y, Maxwell, A, Evans, D, Howell, A & Astley, S 2017, Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? in SPIE Digital Library : Proceedings of Medical Imaging 2017. vol. 10134, 101342P (March 3, 2017); doi:10.1117/12.2254291. https://doi.org/10.1117/12.2254291","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/4a207a8a-b1cb-46d2-8458-c3c0a4c7cddf","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/4a207a8a-b1cb-46d2-8458-c3c0a4c7cddf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wong Sik Hee, J, Harkness, E, Gadde, S, Lim, Y, Maxwell, A, Evans, D, Howell, A & Astley, S 2017, Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? in SPIE Digital Library : Proceedings of Medical Imaging 2017. vol. 10134, 101342P (March 3, 2017); doi:10.1117/12.2254291. https://doi.org/10.1117/12.2254291","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306481","display_name":"Prevent Cancer Foundation","ror":"https://ror.org/03jpt8f29"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1995388182","https://openalex.org/W2088153095","https://openalex.org/W2134650356","https://openalex.org/W2137839901","https://openalex.org/W2160408484","https://openalex.org/W2792235673","https://openalex.org/W4234409448","https://openalex.org/W6749621904"],"related_works":["https://openalex.org/W2127908260","https://openalex.org/W2025588037","https://openalex.org/W2050777812","https://openalex.org/W2766831427","https://openalex.org/W2972753914","https://openalex.org/W1991255418","https://openalex.org/W2320814173","https://openalex.org/W1583881632","https://openalex.org/W2109063533","https://openalex.org/W3012112151"],"abstract_inverted_index":{"High":[0],"mammographic":[1,61],"density":[2,33,62,91,131,204,230],"is":[3,16,20,24,35],"associated":[4],"with":[5,60,170,182],"an":[6],"increased":[7],"risk":[8,42,173,238],"of":[9,32,39,53,101,114,139,180,191,203,237],"breast":[10,40,90,116,130,133,171],"cancer,":[11],"however":[12],"whether":[13,29],"the":[14,50,127,143,167,201,206,235],"association":[15,169,208],"stronger":[17],"when":[18],"there":[19],"agreement":[21],"across":[22],"measures":[23,34,102,231],"unclear.":[25],"This":[26],"study":[27,58],"investigates":[28],"a":[30,36],"combination":[31,202],"better":[37],"predictor":[38],"cancer":[41,134,172],"than":[43],"individual":[44,165,242],"methods":[45,67,166,205],"alone.":[46],"Women":[47],"recruited":[48],"to":[49,105,125,240],"Predicting":[51],"Risk":[52],"Cancer":[54],"At":[55],"Screening":[56],"(PROCAS)":[57],"and":[59,80,87,97,99,120,132,155,162,177,189,196,223],"assessed":[63,73],"using":[64,75,241],"three":[65,148],"different":[66],"were":[68,103,118,141,151],"included":[69],"(n=33,304).":[70],"Density":[71],"was":[72,92,123,174,209],"visually":[74],"Visual":[76],"Analogue":[77],"Scales":[78],"(VAS)":[79],"by":[81,217],"two":[82],"fully":[83],"automated":[84],"methods,":[85],"Quantra":[86],"Volpara.":[88],"Percentage":[89],"divided":[93],"into":[94],"(high,":[95,160],"medium":[96,161,176],"low)":[98,156],"combinations":[100],"used":[104,124],"further":[106],"categorise":[107],"individuals":[108,140],"(e.g.":[109],"\u2018all":[110,211],"high\u2019).":[111],"A":[112],"total":[113],"667":[115],"cancers":[117],"identified":[119],"logistic":[121],"regression":[122],"determine":[126],"relationship":[128],"between":[129],"risk.":[135],"In":[136],"total,":[137],"44%":[138],"in":[142,152],"same":[144],"tertile":[145],"for":[146,175,187,210],"all":[147],"measures,":[149],"8.6%":[150],"non-adjacent":[153],"(high":[154],"or":[157],"mixed":[158],"categories":[159],"low).":[163],"For":[164,200],"strongest":[168,207],"high":[178],"tertiles":[179],"VAS":[181],"odds":[183],"ratios":[184],"(OR)":[185],"adjusted":[186],"age":[188],"BMI":[190],"1.63":[192],"(95%":[193],"CI":[194],"1.31-2.03)":[195],"2.33":[197],"(1.87-2.90)":[198],"respectively.":[199],"high\u2019":[212],"(OR":[213,220,226],"2.42,":[214],"1.77-3.31)":[215],"followed":[216],"\u201ctwo":[218,224],"high\u201d":[219],"1.90,":[221],"1.35-3.31)":[222],"medium\u201d":[225],"1.88,":[227],"1.40-2.52).":[228],"Combining":[229],"did":[232],"not":[233],"affect":[234],"magnitude":[236],"compared":[239],"methods.":[243]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}