Matches in SemOpenAlex for { <https://semopenalex.org/work/W2177084906> ?p ?o ?g. }
- W2177084906 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. The Korean Breast Cancer Study included 213 women diagnosed with invasive breast cancer and 630 controls matched for age at full-field digital mammogram and menopausal status. Mammographic density was measured using CUMULUS at the conventional threshold (Cumulus), and in effect at two increasingly higher thresholds, which we call Altocumulus and Cirrocumulus, respectively. All measures were Box-Cox transformed and adjusted for age, body mass index, menopausal status and machine. We used conditional logistic regression to estimate the change in Odds PER standard deviation of transformed and Adjusted density measures (OPERA). The area under the receiver operating characteristic curve (AUC) was estimated. Corresponding Altocumulus and Cirrocumulus density measures were correlated with Cumulus measures (r approximately 0.8 and 0.6, respectively). Altocumulus and Cirrocumulus measures were on average 25 % and 80 % less, respectively, than the Cumulus measure. For dense area, the OPERA was 1.18 (95 % confidence interval: 1.01−1.39, P = 0.03) for Cumulus; 1.36 (1.15−1.62, P < 0.001) for Altocumulus; and 1.23 (1.04−1.45, P = 0.01) for Cirrocumulus. After fitting the Altocumulus measure, the Cumulus measure was no longer associated with risk. After fitting the Cumulus measure, the Altocumulus measure was still associated with risk (P = 0.001). The AUCs for dense area was 0.59 for the Altocumulus measure, greater than 0.55 and 0.57 for the Cumulus and Cirrocumulus measures, respectively (P = 0.001). Similar results were found for percentage dense area measures. Altocumulus measures perform better than Cumulus measures in predicting breast cancer risk, and Cumulus measures are confounded by Altocumulus measures. The mammographically bright regions might be more aetiologically important for breast cancer, with implications for biological, molecular, genetic and epidemiological research and clinical translation." @default.
- W2177084906 created "2016-06-24" @default.
- W2177084906 creator A5023667273 @default.
- W2177084906 creator A5041308900 @default.
- W2177084906 creator A5045089125 @default.
- W2177084906 creator A5050851861 @default.
- W2177084906 creator A5066917743 @default.
- W2177084906 creator A5067110590 @default.
- W2177084906 creator A5070379392 @default.
- W2177084906 creator A5090508414 @default.
- W2177084906 date "2015-11-18" @default.
- W2177084906 modified "2023-10-16" @default.
- W2177084906 title "Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms" @default.
- W2177084906 cites W1995388182 @default.
- W2177084906 cites W2010365793 @default.
- W2177084906 cites W2013723239 @default.
- W2177084906 cites W2018039129 @default.
- W2177084906 cites W2040228541 @default.
- W2177084906 cites W2041118764 @default.
- W2177084906 cites W2046194218 @default.
- W2177084906 cites W2056893663 @default.
- W2177084906 cites W2068611090 @default.
- W2177084906 cites W2088153095 @default.
- W2177084906 cites W2096692085 @default.
- W2177084906 cites W2109063533 @default.
- W2177084906 cites W2109848442 @default.
- W2177084906 cites W2109997465 @default.
- W2177084906 cites W2111065680 @default.
- W2177084906 cites W2115756202 @default.
- W2177084906 cites W2123618524 @default.
- W2177084906 cites W2125403284 @default.
- W2177084906 cites W2134650356 @default.
- W2177084906 cites W2137955402 @default.
- W2177084906 cites W2150242770 @default.
- W2177084906 cites W2160408484 @default.
- W2177084906 cites W2188748308 @default.
- W2177084906 cites W2235180583 @default.
- W2177084906 cites W2312725314 @default.
- W2177084906 cites W2321499420 @default.
- W2177084906 doi "https://doi.org/10.1186/s13058-015-0654-4" @default.
- W2177084906 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4652378" @default.
- W2177084906 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26581435" @default.
- W2177084906 hasPublicationYear "2015" @default.
- W2177084906 type Work @default.
- W2177084906 sameAs 2177084906 @default.
- W2177084906 citedByCount "32" @default.
- W2177084906 countsByYear W21770849062016 @default.
- W2177084906 countsByYear W21770849062017 @default.
- W2177084906 countsByYear W21770849062018 @default.
- W2177084906 countsByYear W21770849062019 @default.
- W2177084906 countsByYear W21770849062020 @default.
- W2177084906 countsByYear W21770849062021 @default.
- W2177084906 countsByYear W21770849062022 @default.
- W2177084906 countsByYear W21770849062023 @default.
- W2177084906 crossrefType "journal-article" @default.
- W2177084906 hasAuthorship W2177084906A5023667273 @default.
- W2177084906 hasAuthorship W2177084906A5041308900 @default.
- W2177084906 hasAuthorship W2177084906A5045089125 @default.
- W2177084906 hasAuthorship W2177084906A5050851861 @default.
- W2177084906 hasAuthorship W2177084906A5066917743 @default.
- W2177084906 hasAuthorship W2177084906A5067110590 @default.
- W2177084906 hasAuthorship W2177084906A5070379392 @default.
- W2177084906 hasAuthorship W2177084906A5090508414 @default.
- W2177084906 hasBestOaLocation W21770849061 @default.
- W2177084906 hasConcept C105795698 @default.
- W2177084906 hasConcept C121608353 @default.
- W2177084906 hasConcept C126322002 @default.
- W2177084906 hasConcept C151956035 @default.
- W2177084906 hasConcept C156957248 @default.
- W2177084906 hasConcept C2780140570 @default.
- W2177084906 hasConcept C2780221984 @default.
- W2177084906 hasConcept C2780472235 @default.
- W2177084906 hasConcept C2781281974 @default.
- W2177084906 hasConcept C29456083 @default.
- W2177084906 hasConcept C2989005 @default.
- W2177084906 hasConcept C33923547 @default.
- W2177084906 hasConcept C44249647 @default.
- W2177084906 hasConcept C530470458 @default.
- W2177084906 hasConcept C58471807 @default.
- W2177084906 hasConcept C71924100 @default.
- W2177084906 hasConceptScore W2177084906C105795698 @default.
- W2177084906 hasConceptScore W2177084906C121608353 @default.
- W2177084906 hasConceptScore W2177084906C126322002 @default.
- W2177084906 hasConceptScore W2177084906C151956035 @default.
- W2177084906 hasConceptScore W2177084906C156957248 @default.
- W2177084906 hasConceptScore W2177084906C2780140570 @default.
- W2177084906 hasConceptScore W2177084906C2780221984 @default.
- W2177084906 hasConceptScore W2177084906C2780472235 @default.
- W2177084906 hasConceptScore W2177084906C2781281974 @default.
- W2177084906 hasConceptScore W2177084906C29456083 @default.
- W2177084906 hasConceptScore W2177084906C2989005 @default.
- W2177084906 hasConceptScore W2177084906C33923547 @default.
- W2177084906 hasConceptScore W2177084906C44249647 @default.
- W2177084906 hasConceptScore W2177084906C530470458 @default.
- W2177084906 hasConceptScore W2177084906C58471807 @default.
- W2177084906 hasConceptScore W2177084906C71924100 @default.
- W2177084906 hasFunder F4320320412 @default.
- W2177084906 hasFunder F4320322120 @default.
- W2177084906 hasFunder F4320322349 @default.
- W2177084906 hasFunder F4320334705 @default.