Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms.
Identifieur interne : 000174 ( Main/Exploration ); précédent : 000173; suivant : 000175Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms.
Auteurs : Tuong Linh Nguyen [Australie] ; Ye Kyaw Aung [Australie] ; Christopher Francis Evans [Australie] ; Choi Yoon-Ho [Corée du Sud] ; Mark Anthony Jenkins [Australie] ; Joohon Sung [Corée du Sud] ; John Llewelyn Hopper [Australie] ; Yun-Mi Song [Corée du Sud]Source :
- Breast cancer research : BCR ; 2015.
Abstract
When measured using the computer-assisted method CUMULUS, mammographic density adjusted for age and body mass index predicts breast cancer risk. We asked if new mammographic density measures defined by higher brightness thresholds gave better risk predictions.
DOI: 10.1186/s13058-015-0654-4
PubMed: 26581435
Affiliations:
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Bouverie Street, Carlton, VIC, 3053, Australia. ye.aung@unimelb.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053</wicri:regionArea><wicri:noRegion>3053</wicri:noRegion></affiliation></author><author><name sortKey="Evans, Christopher Francis" sort="Evans, Christopher Francis" uniqKey="Evans C" first="Christopher Francis" last="Evans">Christopher Francis Evans</name><affiliation wicri:level="1"><nlm:affiliation>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053, Australia. cfevans@unimelb.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053</wicri:regionArea><wicri:noRegion>3053</wicri:noRegion></affiliation></author><author><name sortKey="Yoon Ho, Choi" sort="Yoon Ho, Choi" uniqKey="Yoon Ho C" first="Choi" last="Yoon-Ho">Choi Yoon-Ho</name><affiliation wicri:level="3"><nlm:affiliation>Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, 25-2 Sungkyunkwan-ro, Jongno-gu, 110-745, Seoul, Korea. choismc@skku.edu.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, 25-2 Sungkyunkwan-ro, Jongno-gu, 110-745, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement></placeName></affiliation></author><author><name sortKey="Jenkins, Mark Anthony" sort="Jenkins, Mark Anthony" uniqKey="Jenkins M" first="Mark Anthony" last="Jenkins">Mark Anthony Jenkins</name><affiliation wicri:level="1"><nlm:affiliation>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053, Australia. m.jenkins@unimelb.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053</wicri:regionArea><wicri:noRegion>3053</wicri:noRegion></affiliation></author><author><name sortKey="Sung, Joohon" sort="Sung, Joohon" uniqKey="Sung J" first="Joohon" last="Sung">Joohon Sung</name><affiliation wicri:level="4"><nlm:affiliation>Seoul Department of Epidemiology and Institute of Health and Environment, School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, 151-742, Seoul, Korea. jsung@snu.ac.kr.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Seoul Department of Epidemiology and Institute of Health and Environment, School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, 151-742, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement></placeName><orgName type="university">Université nationale de Séoul</orgName></affiliation></author><author><name sortKey="Hopper, John Llewelyn" sort="Hopper, John Llewelyn" uniqKey="Hopper J" first="John Llewelyn" last="Hopper">John Llewelyn Hopper</name><affiliation wicri:level="1"><nlm:affiliation>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053, Australia. j.hopper@unimelb.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Level 3, 207 Bouverie Street, Carlton, VIC, 3053</wicri:regionArea><wicri:noRegion>3053</wicri:noRegion></affiliation></author><author><name sortKey="Song, Yun Mi" sort="Song, Yun Mi" uniqKey="Song Y" first="Yun-Mi" last="Song">Yun-Mi Song</name><affiliation wicri:level="3"><nlm:affiliation>Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 25-2 Sungkyunkwan-ro, Jongno-gu, 110-745, Seoul, Korea. yunmisong@skku.edu.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 25-2 Sungkyunkwan-ro, Jongno-gu, 110-745, Seoul</wicri:regionArea><placeName><settlement type="city">Séoul</settlement></placeName></affiliation></author></analytic><series><title level="j">Breast cancer research : BCR</title><idno type="e-ISSN">1465-542X</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">When measured using the computer-assisted method CUMULUS, mammographic density adjusted for age and body mass index predicts breast cancer risk. We asked if new mammographic density measures defined by higher brightness thresholds gave better risk predictions.</div></front></TEI><affiliations><list><country><li>Australie</li><li>Corée du Sud</li></country><settlement><li>Séoul</li></settlement><orgName><li>Université nationale de Séoul</li></orgName></list><tree><country name="Australie"><noRegion><name sortKey="Nguyen, Tuong Linh" sort="Nguyen, Tuong Linh" uniqKey="Nguyen T" first="Tuong Linh" last="Nguyen">Tuong Linh Nguyen</name></noRegion><name sortKey="Aung, Ye Kyaw" sort="Aung, Ye Kyaw" uniqKey="Aung Y" first="Ye Kyaw" last="Aung">Ye Kyaw Aung</name><name sortKey="Evans, Christopher Francis" sort="Evans, Christopher Francis" uniqKey="Evans C" first="Christopher Francis" last="Evans">Christopher Francis Evans</name><name sortKey="Hopper, John Llewelyn" sort="Hopper, John Llewelyn" uniqKey="Hopper J" first="John Llewelyn" last="Hopper">John Llewelyn Hopper</name><name sortKey="Jenkins, Mark Anthony" sort="Jenkins, Mark Anthony" uniqKey="Jenkins M" first="Mark Anthony" last="Jenkins">Mark Anthony Jenkins</name></country><country name="Corée du Sud"><noRegion><name sortKey="Yoon Ho, Choi" sort="Yoon Ho, Choi" uniqKey="Yoon Ho C" first="Choi" last="Yoon-Ho">Choi Yoon-Ho</name></noRegion><name sortKey="Song, Yun Mi" sort="Song, Yun Mi" uniqKey="Song Y" first="Yun-Mi" last="Song">Yun-Mi Song</name><name sortKey="Sung, Joohon" sort="Sung, Joohon" uniqKey="Sung J" first="Joohon" last="Sung">Joohon Sung</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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