Diagnostic Performance of Point-of-Care Apparent Diffusion Coefficient Measures to Reduce Biopsy in Breast Lesions at MRI: Clinical Validation

医学 有效扩散系数 乳房磁振造影 放射科 活检 注意事项 乳腺活检 医学物理学 磁共振成像 核医学 病理 乳腺摄影术 乳腺癌 内科学 癌症
作者
Inyoung Youn,Debosmita Biswas,Daniel S. Hippe,Andrea M. Winter,Anum S. Kazerouni,Sara H. Javid,Janie M. Lee,Habib Rahbar,Savannah C. Partridge
出处
期刊:Radiology [Radiological Society of North America]
卷期号:310 (2) 被引量:1
标识
DOI:10.1148/radiol.232313
摘要

Background The Eastern Cooperative Oncology Group–American College of Radiology Imaging Network Cancer Research Group multicenter A6702 trial identified an optimal apparent diffusion coefficient (ADC) cutoff to potentially reduce biopsies by 21% without affecting sensitivity. Whether this performance can be achieved in clinical settings has not yet been established. Purpose To validate the performance of point-of-care ADC measurements with the A6702 trial ADC cutoff for reducing unnecessary biopsies in lesions detected at breast MRI. Materials and Methods Consecutive breast MRI examinations performed from May 2015 to January 2019 at a single medical center and showing biopsy-confirmed Breast Imaging Reporting and Data System category 4 or 5 lesions, without ipsilateral cancer, were identified. Point-of-care lesion ADC measurements collected at clinical interpretation were retrospectively evaluated. MRI examinations included axial T2-weighted, diffusion-weighted, and dynamic contrast-enhanced sequences. Sensitivity and biopsy reduction rates were calculated by applying the A6702 optimal (ADC, 1.53 × 10−3 mm2/sec) and alternate conservative (1.68 × 10−3 mm2/sec) cutoffs. Lesion pathologic outcomes were the reference standard. To assess reproducibility, one radiologist repeated ADC measurements, and agreement was summarized using the intraclass correlation coefficient. Results A total of 240 lesions in 201 women (mean age, 49 years ± 13 [SD]) with pathologic outcomes (63 malignant and 177 benign) were included. Applying the optimal ADC cutoff produced an overall biopsy reduction rate of 15.8% (38 of 240 lesions [95% CI: 11.2, 20.9]), with a sensitivity of 92.1% (58 of 63 lesions [95% CI: 82.4, 97.4]; sensitivity was 97.2% [35 of 36 lesions] [95% CI: 82.7, 99.6] for invasive cancers). Results were similar for screening versus diagnostic examinations (P = .92 and .40, respectively). Sensitivity was higher for masses than for nonmass enhancements (NMEs) (100% vs 85.3%; P = .009). Applying the conservative ADC cutoff achieved a sensitivity of 95.2% (60 of 63 lesions [95% CI: 86.7, 99.0]), with a biopsy reduction rate of 10.4% (25 of 240 lesions [95% CI: 6.7, 14.5]). Repeated single-reader measurements showed good agreement with clinical ADCs (intraclass correlation coefficient, 0.72 [95% CI: 0.58, 0.81]). Conclusion This study validated the clinical use of ADC cutoffs to reduce MRI-prompted biopsies by up to 16%, with a suggested tradeoff of lowered sensitivity for in situ and microinvasive disease manifesting as NME. Clinical trial registration no. NCT02022579 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Honda and Iima in this issue.
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