Performance of preoperative breast MRI based on breast cancer molecular subtype.

Published

Journal Article

PURPOSE: To assess the performance of preoperative breast MRI biopsy recommendations based on breast cancer molecular subtype. METHODS: All preoperative breast MRIs at a single academic medical center from May 2010 to March 2014 were identified. Reports were reviewed for biopsy recommendations. All pathology reports were reviewed to determine biopsy recommendation outcomes. Molecular subtypes were defined as Luminal A (ER/PR+ and HER2-), Luminal B (ER/PR+ and HER2+), HER2 (ER-, PR- and HER2+), and Basal (ER-, PR-, and HER2-). Logistic regression assessed the probability of true positive versus false positive biopsy and mastectomy versus lumpectomy. RESULTS: There were 383 patients included with a molecular subtype distribution of 253 Luminal A, 44 Luminal B, 20 HER2, and 66 Basal. Two hundred and thirteen (56%) patients and 319 sites were recommended for biopsy. Molecular subtype did not influence the recommendation for biopsy (p = 0.69) or the number of biopsy site recommendations (p = 0.30). The positive predictive value for a biopsy recommendation was 42% overall and 46% for Luminal A, 43% for Luminal B, 36% for HER2, and 29% for Basal subtype cancers. The multivariate logistic regression model showed no difference in true positive biopsy rate based on molecular subtype (p = 0.78). Fifty-one percent of patients underwent mastectomy and the multivariate model demonstrated that only a true positive biopsy (odds ratio: 5.3) was associated with higher mastectomy rates. CONCLUSION: Breast cancer molecular subtype did not influence biopsy recommendations, positive predictive values, or surgical approaches. Only true positive biopsies increased the mastectomy rate.

Full Text

Duke Authors

Cited Authors

  • Devalapalli, A; Thomas, S; Mazurowski, MA; Saha, A; Grimm, LJ

Published Date

  • November 2020

Published In

Volume / Issue

  • 67 /

Start / End Page

  • 130 - 135

PubMed ID

  • 32619774

Pubmed Central ID

  • 32619774

Electronic International Standard Serial Number (EISSN)

  • 1873-4499

Digital Object Identifier (DOI)

  • 10.1016/j.clinimag.2020.05.017

Language

  • eng

Conference Location

  • United States