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Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.
- Source :
-
Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2021 Apr 01; Vol. 27 (7), pp. 1941-1948. Date of Electronic Publication: 2021 Jan 14. - Publication Year :
- 2021
-
Abstract
- Purpose: Diffusion-weighted imaging with the calculation of an apparent diffusion coefficient (ADC) has been proposed as a quantitative biomarker on contrast-enhanced MRI (CE-MRI) of the breast. There is a need to approve a generalizable ADC cutoff. The purpose of this study was to evaluate whether a predefined ADC cutoff allows downgrading of BI-RADS 4 lesions on CE-MRI, avoiding unnecessary biopsies.<br />Experimental Design: This was a retrospective, multicentric, cross-sectional study. Data from five centers were pooled on the individual lesion level. Eligible patients had a BI-RADS 4 rating on CE-MRI. For each center, two breast radiologists evaluated the images. Data on lesion morphology (mass, non-mass), size, and ADC were collected. Histology was the standard of reference. A previously suggested ADC cutoff (≥1.5 × 10 <superscript>-3</superscript> mm <superscript>2</superscript> /second) was applied. A negative likelihood ratio of 0.1 or lower was considered as a rule-out criterion for breast cancer. Diagnostic performance indices were calculated by ROC analysis.<br />Results: There were 657 female patients (mean age, 42; SD, 14.1) with 696 BI-RADS 4 lesions included. Disease prevalence was 59.5% (414/696). The area under the ROC curve was 0.784. Applying the investigated ADC cutoff, sensitivity was 96.6% (400/414). The potential reduction of unnecessary biopsies was 32.6% (92/282).<br />Conclusions: An ADC cutoff of ≥1.5 × 10 <superscript>-3</superscript> mm <superscript>2</superscript> /second allows downgrading of lesions classified as BI-RADS 4 on breast CE-MRI. One-third of unnecessary biopsies could thus be avoided.<br /> (©2021 American Association for Cancer Research.)
Details
- Language :
- English
- ISSN :
- 1557-3265
- Volume :
- 27
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Clinical cancer research : an official journal of the American Association for Cancer Research
- Publication Type :
- Academic Journal
- Accession number :
- 33446565
- Full Text :
- https://doi.org/10.1158/1078-0432.CCR-20-3037