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Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms

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Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms

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dc.contributor.author Pollán, Marina es_ES
dc.contributor.author Llobet Azpitarte, Rafael es_ES
dc.contributor.author Miranda García, Josefa es_ES
dc.contributor.author Antón Guirao, Joaquín es_ES
dc.contributor.author Casals el Busto, María es_ES
dc.contributor.author Martinez Gomez, Inmaculada es_ES
dc.contributor.author Palop Jonquères, Carmen es_ES
dc.contributor.author Ruiz Perales, Francisco es_ES
dc.contributor.author Sanchez Contador, Carmen es_ES
dc.contributor.author Vidal, Carmen es_ES
dc.contributor.author Perez Gómez, Beatriz es_ES
dc.contributor.author Salas Trejo, Dolores es_ES
dc.date.accessioned 2015-12-21T10:45:29Z
dc.date.available 2015-12-21T10:45:29Z
dc.date.issued 2013
dc.identifier.issn 2193-1801
dc.identifier.uri http://hdl.handle.net/10251/59083
dc.description.abstract We developed a semi-automated tool to assess mammographic density (MD), a phenotype risk marker for breast cancer (BC), in full-field digital images and evaluated its performance testing its reproducibility, comparing our MD estimates with those obtained by visual inspection and using Cumulus, verifying their association with factors that influence MD, and studying the association between MD measures and subsequent BC risk. Three radiologists assessed MD using DM-Scan, the new tool, on 655 processed images (craniocaudal view) obtained in two screening centers. Reproducibility was explored computing pair-wise concordance correlation coefficients (CCC). The agreement between DM-Scan estimates and visual assessment (semi- uantitative scale, 6 categories) was quantified computing weighted kappa statistics (quadratic weights). DM-Scan and Cumulus readings were compared using CCC. Variation of DM-Scan measures by age, body mass index (BMI) and other MD modifiers was tested in regression mixed models with mammographic device as a random-effect term. The association between DM-Scan measures and subsequent BC was estimated in a case control study. All BC cases in screening attendants (2007 2010) at a center with full-field digital mammography were matched by age and screening year with healthy controls (127 pairs). DM-Scan was used to blindly assess MD in available mammograms (112 cases/119 controls). Unconditional logistic models were fitted, including age, menopausal status and BMI as confounders. DM-Scan estimates were very reliable (pairwise CCC: 0.921, 0.928 and 0.916). They showed a reasonable agreement with visual MD assessment (weighted kappa ranging 0.79-0.81). DM-Scan and Cumulus measures were highly concordant (CCC ranging 0.80-0.84), but ours tended to be higher (4%-5% on average). As expected, DM-Scan estimates varied with age, BMI, parity and family history of BC. Finally, DM-Scan measures were significantly associated with BC (p-trend=0.005). Taking MD<7% as reference, OR per categories of MD were: OR7%-17%=1.32 (95% CI=0.59-2.99), OR17%-28%=2.28 (95% CI=1.03-5.04) and OR>=29%=3.10 (95% CI=1.35-7.14). Our results confirm that DM-Scan is a reliable tool to assess MD in full-field digital mammograms. es_ES
dc.description.sponsorship This work was supported by research grants from Spain's Health Research Fund (Fondo de INvestigacion Santiaria) (PI060386 & PI09/1230); Gent per Gent Fund (EDEMAC Project) and the Spanish Federation of Breast Cancer Patients (Federacion Espanola de Cancer de Mama) (FECMA 485 EPY 1170-10). en_EN
dc.language Inglés es_ES
dc.publisher SpringerOpen es_ES
dc.relation Gent per Gent Fund (EDEMAC Project) es_ES
dc.relation Spain’s Health Research Fund (Fondo de INvestigación Santiaria) (PI060386 & PI09/1230) es_ES
dc.relation Spanish Federation of Breast Cancer Patients (Federación Española de Cáncer de Mama) (FECMA 485 EPY 1170–10) es_ES
dc.relation.ispartof SpringerPlus es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Mammographic density es_ES
dc.subject Breast density es_ES
dc.subject Density assessment es_ES
dc.subject Computer-assisted tool es_ES
dc.subject Reliability es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/2193-1801-2-242
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Área de Instituto de Ciencias de la Educación - Àrea de l'Institut de Ciències de l'Educació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation Pollán, M.; Llobet Azpitarte, R.; Miranda García, J.; Antón Guirao, J.; Casals El Busto, M.; Martinez Gomez, I.; Palop Jonquères, C.... (2013). Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms. SpringerPlus. 2(242):1-13. doi:10.1186/2193-1801-2-242 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1186/2193-1801-2-242 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.description.issue 242 es_ES
dc.relation.senia 252424 es_ES
dc.identifier.eissn 2193-1801
dc.identifier.pmid 23865000 en_EN
dc.identifier.pmcid PMC3693435 en_EN
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