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Preoperative breast MR imaging in newly diagnosed breast cancer: Comparison of outcomes based on mammographic modality, breast density and breast parenchymal enhancement.
Elmi, Azadeh; Conant, Emily F; Kozlov, Andrew; Young, Anthony J; Long, Qi; Doot, Robert K; McDonald, Elizabeth S.
Affiliation
  • Elmi A; Breast Imaging Division, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Conant EF; Breast Imaging Division, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: Emily.conant@uphs.upenn.edu.
  • Kozlov A; Breast Imaging Division, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: Andrew.kozlov@uphs.upenn.edu.
  • Young AJ; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: Anthony.Young@pennmedicine.upenn.edu.
  • Long Q; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: qlong@pennmedicine.upenn.edu.
  • Doot RK; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: robdoot@pennmedicine.upenn.edu.
  • McDonald ES; Breast Imaging Division, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: elizabeth.mcdonald@pennmedicine.upenn.edu.
Clin Imaging ; 70: 18-24, 2021 Feb.
Article in En | MEDLINE | ID: mdl-33120285
ABSTRACT

PURPOSE:

To compare the role of MR for assessment of extent of disease in women newly diagnosed with breast cancer imaged with digital mammography (DM) alone versus digital breast tomosynthesis (DBT).

METHODS:

Retrospective review was conducted of 401 consecutive breast MR exams (10/1/2013-7/31/2015) from women who underwent preoperative MR for newly diagnosed breast cancer by either DM or DBT, leaving 388 exams (201 DM and 187 DBT). MR detection of additional, otherwise occult, disease was stratified by modality, breast density, and background parenchymal enhancement. A true-positive finding was defined as malignancy in the ipsilateral-breast >2 cm away from the index-lesion or in the contralateral breast.

RESULTS:

50 additional malignancies were detected in 388 exams (12.9%), 37 ipsilateral and 13 contralateral. There was no difference in the MR detection of additional disease in women imaged by either DM versus DBT (p = 0.53). In patients with DM, there was no significant difference in the rate of MR additional cancer detection in dense versus non-dense breasts (p = 0.790). However, in patients with DBT, MR detected significantly more additional sites of malignancy in dense compared to non-dense breasts (p = 0.017). There was no difference in false-positive MR exams (p = 0.470) for DM versus DBT. For both DM and DBT cohorts, higher MR background parenchymal enhancement was associated with higher false-positive (p = 0.040) but no significant difference in true-positive exams.

CONCLUSIONS:

Among patients with DBT imaging at cancer diagnosis, women with dense breasts appear to benefit more from preoperative MR than non-dense women. In women imaged only with DM, MR finds additional malignancy across all breast densities.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Breast Density Type of study: Diagnostic_studies / Observational_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Clin Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Breast Density Type of study: Diagnostic_studies / Observational_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Clin Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: Estados Unidos