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Digital mammography and digital breast tomosynthesis for detecting invasive lobular and ductal carcinoma.
Onega, Tracy; Abraham, Linn; Miglioretti, Diana L; Lee, Christoph I; Henderson, Louise M; Kerlikowske, Karla; Tosteson, Anna N A; Weaver, Donald; Sprague, Brian L; Bowles, Erin J Aiello; di Florio-Alexander, Roberta M.
Affiliation
  • Onega T; Department of Population Health Sciences, and the Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Dr., RS 4725, Salt Lake City, UT, 84018, USA. tracy.onega@hci.utah.edu.
  • Abraham L; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
  • Miglioretti DL; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
  • Lee CI; Department of Public Health Sciences, University of California, Davis, CA, USA.
  • Henderson LM; Department of Radiology, University of Washington, and Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Kerlikowske K; Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.
  • Tosteson ANA; Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
  • Weaver D; General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco, CA, USA.
  • Sprague BL; The Dartmouth Institute for Health Policy and Clinical Practice and Dartmouth Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
  • Bowles EJA; Department of Pathology, University of Vermont, Burlington, VT, USA.
  • di Florio-Alexander RM; Departments of Surgery and Radiology, University of Vermont Cancer Center, University of Vermont, Burlington, VT, USA.
Breast Cancer Res Treat ; 202(3): 505-514, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37697031
PURPOSE: Invasive lobular carcinoma (ILC) is a distinct histological subtype of breast cancer that can make early detection with mammography challenging. We compared imaging performance of digital breast tomosynthesis (DBT) to digital mammography (DM) for diagnoses of ILC, invasive ductal carcinoma (IDC), and invasive mixed carcinoma (IMC) in a screening population. METHODS: We included screening exams (DM; n = 1,715,249 or DBT; n = 414,793) from 2011 to 2018 among 839,801 women in the Breast Cancer Surveillance Consortium. Examinations were followed for one year to ascertain incident ILC, IDC, or IMC. We measured cancer detection rate (CDR) and interval invasive cancer rate/1000 screening examinations for each histological subtype and stratified by breast density and modality. We calculated relative risk (RR) for DM vs. DBT using log-binomial models to adjust for the propensity of receiving DBT vs. DM. RESULTS: Unadjusted CDR per 1000 mammograms of ILC overall was 0.33 (95%CI: 0.30-0.36) for DM; 0.45 (95%CI: 0.39-0.52) for DBT, and for women with dense breasts- 0.33 (95%CI: 0.29-0.37) for DM and 0.54 (95%CI: 0.43-0.66) for DBT. Similar results were noted for IDC and IMC. Adjusted models showed a significantly increased RR for cancer detection with DBT compared to DM among women with dense breasts for all three histologies (RR; 95%CI: ILC 1.53; 1.09-2.14, IDC 1.21; 1.02-1.44, IMC 1.76; 1.30-2.38), but no significant increase among women with non-dense breasts. CONCLUSION: DBT was associated with higher CDR for ILC, IDC, and IMC for women with dense breasts. Early detection of ILC with DBT may improve outcomes for this distinct clinical entity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Ductal, Breast Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans Language: En Journal: Breast Cancer Res Treat Year: 2023 Document type: Article Affiliation country: United States Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Carcinoma, Ductal, Breast Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans Language: En Journal: Breast Cancer Res Treat Year: 2023 Document type: Article Affiliation country: United States Country of publication: Netherlands