Preoperative Diagnosis of Ipsilateral and Contralateral Breast Cancer: Role of Diffusion-weighted MRI.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiology Pub Date : 2025-06-01 DOI:10.1148/radiol.242423
Ha Jung Kim, Savannah C Partridge, JungBok Lee, Heera Yoen, Woo Kyung Moon, Su Min Ha
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引用次数: 0

Abstract

Background The interpretation of the multiparametric MRI, which combines dynamic contrast-enhanced (DCE) MRI with diffusion-weighted imaging (DWI), has the potential to increase MRI diagnostic accuracy. Purpose To investigate and validate the potential of DWI with an apparent diffusion coefficient (ADC) cutoff in evaluating additional lesions detected at preoperative MRI in patients with breast cancer. Materials and Methods In this retrospective review, data from patients with additional lesions (Breast Imaging Reporting and Data System [BI-RADS] category 3 or higher) who underwent MRI between June 2019 and June 2021 were evaluated. Two breast radiologists independently evaluated additional enhanced lesions and measured the ADC values. The optimal ADC cutoff for downgrading lesions was determined according to the Youden index and was applied to a separate validation cohort. The efficacy of prespecified ADC values (1.53 × 10-3 mm2/sec and 1.3 × 10-3 mm2/sec) was investigated. Diagnostic performance was evaluated and compared using generalized estimating equations. Results Data from 219 patients (mean age, 50.8 years ± 10.2 [SD]) with 292 additional lesions were evaluated. The optimal ADC cutoff was 1.0 × 10-3 mm2/sec, which, compared with that for DCE MRI alone, increased specificity (from 28.7% to 73.1%; P < .001) but decreased sensitivity (from 99.2% to 89.6%; P < .001) of MRI. In the validation cohort (104 patients, 133 additional lesions), 48 of 133 (36.1%) lesions were diagnosed as cancer, and applying the ADC cutoff derived from the development cohort increased specificity (from 21.2% to 68.2%; P < .001) but decreased sensitivity (from 97.9% to 83.3%; P = .01). For ipsilateral lesions, specificity increased (from 8.7% to 65.2%; P < .001), but the sensitivity did not decrease significantly (from 97.1% to 85.3%; P = .052). For contralateral lesions, similar performance improvements were observed for specificity (from 35.9% to 71.8%; P < .001), but a greater decrease in sensitivity was observed (from 100% to 78.6%; P < .001). Application of the prespecified ADC cutoffs achieved higher sensitivity values but smaller improvements in specificity. Conclusion The ADC cutoff based on MRI with DWI improved the performance of preoperative MRI in diagnosing additional lesions in patients with breast cancer. © RSNA, 2025 Supplemental material is available for this article. See also the editorial by Honda and Iima in this issue.

同侧和对侧乳腺癌的术前诊断:弥散加权MRI的作用。
多参数MRI结合动态对比增强(DCE) MRI和弥散加权成像(DWI),具有提高MRI诊断准确性的潜力。目的探讨和验证DWI与表观扩散系数(ADC)截止值在评估乳腺癌患者术前MRI检测到的附加病变中的潜力。在本回顾性研究中,对2019年6月至2021年6月期间接受MRI检查的其他病变(乳腺成像报告和数据系统[BI-RADS] 3类或更高)患者的数据进行了评估。两名乳腺放射科医生独立评估其他增强病变并测量ADC值。根据约登指数确定降级病变的最佳ADC截止值,并应用于单独的验证队列。研究了预设ADC值(1.53 × 10-3 mm2/sec和1.3 × 10-3 mm2/sec)的有效性。使用广义估计方程评估和比较诊断性能。结果219例患者(平均年龄50.8岁±10.2 [SD]), 292例附加病变。最佳ADC截止值为1.0 × 10-3 mm2/sec,与单独DCE MRI相比,特异性增加(从28.7%增加到73.1%;P < 0.001),但敏感性降低(从99.2%降至89.6%;P < 0.001)。在验证队列(104例患者,133个额外病变)中,133个病变中有48个(36.1%)被诊断为癌症,应用来自发展队列的ADC截止值增加了特异性(从21.2%增加到68.2%;P < 0.001),但敏感性降低(从97.9%降至83.3%;P = 0.01)。对于同侧病变,特异性增加(从8.7%增加到65.2%;P < 0.001),但敏感性没有显著下降(从97.1%降至85.3%;P = .052)。对于对侧病变,在特异性方面也有类似的改善(从35.9%到71.8%;P < 0.001),但观察到更大的敏感性下降(从100%降至78.6%;P < 0.001)。应用预先指定的ADC截止值获得了更高的灵敏度值,但特异性的改善较小。结论基于DWI的MRI ADC截断提高了术前MRI对乳腺癌附加病灶的诊断效能。©RSNA, 2025本文可获得补充材料。请参阅本田和Iima在本期的社论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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