Your browser doesn't support javascript.
loading
Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer.
Brandt, Kathleen R; Scott, Christopher G; Miglioretti, Diana L; Jensen, Matthew R; Mahmoudzadeh, Amir P; Hruska, Carrie; Ma, Lin; Wu, Fang Fang; Cummings, Steven R; Norman, Aaron D; Engmann, Natalie J; Shepherd, John A; Winham, Stacey J; Kerlikowske, Karla; Vachon, Celine M.
Afiliación
  • Brandt KR; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. brandt.kathy@mayo.edu.
  • Scott CG; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Miglioretti DL; Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Seattle, WA, 98101, USA.
  • Jensen MR; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Mahmoudzadeh AP; Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA, 94143, USA.
  • Hruska C; Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Ma L; Division of Research, Kaiser Permanente, 2000 Broadway, Oakland, CA, 94612, USA.
  • Wu FF; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Cummings SR; California Pacific Medical Center Research Institute, 475 Brannan Street #220, San Francisco, CA, 94107, USA.
  • Norman AD; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Engmann NJ; Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Second Floor, San Francisco, CA, 94158, USA.
  • Shepherd JA; University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
  • Winham SJ; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Kerlikowske K; Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Second Floor, San Francisco, CA, 94158, USA.
  • Vachon CM; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Breast Cancer Res ; 21(1): 118, 2019 10 28.
Article en En | MEDLINE | ID: mdl-31660981
ABSTRACT

BACKGROUND:

Given that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer and compare to healthy controls.

METHODS:

Eligible cases (n = 1160) had unilateral invasive breast cancer and bilateral full-field digital mammograms (FFDMs) at two time points within 2 months and 1-5 years before diagnosis. Controls (n = 2360) were matched to cases on age and date of FFDMs. Dense volume (DV) and volumetric percent density (VPD) for each breast were assessed using Volpara™. Differences in DV and VPD between mammograms (median 3 years apart) were calculated per breast separately for cases and controls and their difference evaluated by using the Wilcoxon signed-rank test. To simulate clinical practice where cancer laterality is unknown, we examined whether the absolute difference between breasts can discriminate cases from controls using area under the ROC curve (AUC) analysis, adjusting for age, BMI, and time.

RESULTS:

Among cases, the VPD and DV between mammograms of the cancerous breast decreased to a lesser degree (- 0.26% and - 2.10 cm3) than the normal breast (- 0.39% and - 2.74 cm3) for a difference of 0.13% (p value < 0.001) and 0.63 cm3 (p = 0.002), respectively. Among controls, the differences between breasts were nearly identical for VPD (- 0.02 [p = 0.92]) and DV (0.05 [p = 0.77]). The AUC for discriminating cases from controls using absolute difference between breasts was 0.54 (95% CI 0.52, 0.56) for VPD and 0.56 (95% CI, 0.54, 0.58) for DV.

CONCLUSION:

There is a small relative increase in volumetric density measures over time in the breast with cancer which is not found in the normal breast. However, the magnitude of this difference is small, and this measure alone does not appear to be a good discriminator between women with and without breast cancer.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mama / Neoplasias de la Mama / Mamografía / Detección Precoz del Cáncer / Densidad de la Mama Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mama / Neoplasias de la Mama / Mamografía / Detección Precoz del Cáncer / Densidad de la Mama Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos