Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision.
To investigate whether diffusion-weighted imaging (DWI) features could assist in determining which high-risk lesions identified on dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and diagnosed on core needle biopsy (CNB) will upgrade to malignancy on surgical excision.



This Institutional Review Board (IRB)-approved prospective study included participants with MRI-detected Breast Imaging Reporting and Data System (BI-RADS) 4 or 5 lesions with high-risk pathology on CNB who underwent surgical excision. Twenty-three high-risk lesions detected on 3T breast MRI in 20 women (average age = 54 ± 9 years) were evaluated, of which six lesions (26%) upgraded to malignancy at surgery. DCE, DWI characteristics, and clinical factors were compared between high-risk lesions that upgraded to malignancy on surgical excision and those that did not. Logistic regression modeling was performed to identify features that optimally predicted upgrade to malignancy, with performance described using area under the receiver operating characteristic curve (AUC).



High-risk lesions that upgraded on excision demonstrated lower apparent diffusion coefficient (ADC) than those that did not (median, 1.08 × 10-3mm2/s vs.1.39 × 10-3mm2/s, P = 0.046), and a trend of greater maximum lesion size (median, 24 mm vs. 8 mm, P = 0.053). There were no significant differences in lesion type (mass vs. nonmass enhancement, P = 1.0) or kinetic features (P = 0.78 for peak initial enhancement; P = 1.0 for worst curve type) among the high-risk cohorts. A model incorporating maximum lesion size and ADC provided optimal performance to predict upgrade to malignancy (AUC = 0.89).



ADC and maximum lesion size on MRI show promise for predicting which MRI-detected high-risk lesions will upgrade to malignancy at surgical excision.



2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1028-1036.
Department of Radiology, University of Washington, Seattle, Washington, USA.
Safia
S
Cheeney
Department of Radiology, University of Washington, Seattle, Washington, USA.
Habib
H
Rahbar
Department of Radiology, University of Washington, Seattle, Washington, USA.
Brian N
BN
Dontchos
Department of Surgical Oncology, University of Washington, Seattle, Washington, USA.
Sara H
SH
Javid
Department of Pathology, University of Washington, Seattle, Washington, USA.
Mara H
MH
Rendi
Department of Radiology, University of Washington, Seattle, Washington, USA.
Savannah C
SC
Partridge
D000328:Adult; D000368:Aged; D062005:Biopsy, Large-Core Needle; D001940:Breast / Q000000981:diagnostic imaging / Q000473:pathology / Q000601:surgery; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000601:surgery; D003287:Contrast Media; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D011446:Prospective Studies; D012306:Risk
D003287:Contrast Media
apparent diffusion coefficient (ADC); atypia; breast; diffusion weighted imaging (DWI); dynamic contrast enhanced (DCE) MRI; high-risk lesions