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

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, verif...

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Autores principales: Pollán, Marina, Llobet, Rafael, Miranda-García, Josefa, Antón, Joaquín, Casals, María, Martínez, Inmaculada, Palop, Carmen, Ruiz-Perales, Francisco, Sánchez-Contador, Carmen, Vidal, Carmen, Pérez-Gómez, Beatriz, Salas-Trejo, Dolores
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693435/
https://www.ncbi.nlm.nih.gov/pubmed/23865000
http://dx.doi.org/10.1186/2193-1801-2-242
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author Pollán, Marina
Llobet, Rafael
Miranda-García, Josefa
Antón, Joaquín
Casals, María
Martínez, Inmaculada
Palop, Carmen
Ruiz-Perales, Francisco
Sánchez-Contador, Carmen
Vidal, Carmen
Pérez-Gómez, Beatriz
Salas-Trejo, Dolores
author_facet Pollán, Marina
Llobet, Rafael
Miranda-García, Josefa
Antón, Joaquín
Casals, María
Martínez, Inmaculada
Palop, Carmen
Ruiz-Perales, Francisco
Sánchez-Contador, Carmen
Vidal, Carmen
Pérez-Gómez, Beatriz
Salas-Trejo, Dolores
author_sort Pollán, Marina
collection PubMed
description 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-quantitative 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: OR(7%-17%)=1.32 (95% CI=0.59-2.99), OR(17%-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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-242) contains supplementary material, which is available to authorized users.
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spelling pubmed-36934352013-07-15 Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms Pollán, Marina Llobet, Rafael Miranda-García, Josefa Antón, Joaquín Casals, María Martínez, Inmaculada Palop, Carmen Ruiz-Perales, Francisco Sánchez-Contador, Carmen Vidal, Carmen Pérez-Gómez, Beatriz Salas-Trejo, Dolores Springerplus Research 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-quantitative 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: OR(7%-17%)=1.32 (95% CI=0.59-2.99), OR(17%-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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-242) contains supplementary material, which is available to authorized users. Springer International Publishing 2013-05-24 /pmc/articles/PMC3693435/ /pubmed/23865000 http://dx.doi.org/10.1186/2193-1801-2-242 Text en © Pollán et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Pollán, Marina
Llobet, Rafael
Miranda-García, Josefa
Antón, Joaquín
Casals, María
Martínez, Inmaculada
Palop, Carmen
Ruiz-Perales, Francisco
Sánchez-Contador, Carmen
Vidal, Carmen
Pérez-Gómez, Beatriz
Salas-Trejo, Dolores
Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title_full Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title_fullStr Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title_full_unstemmed Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title_short Validation of DM-Scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
title_sort validation of dm-scan, a computer-assisted tool to assess mammographic density in full-field digital mammograms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693435/
https://www.ncbi.nlm.nih.gov/pubmed/23865000
http://dx.doi.org/10.1186/2193-1801-2-242
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