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Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI.MRI 上乳腺影像报告和数据系统(BI-RADS)分类 4 级病变的亚类别分类。
Jpn J Radiol. 2021 Jan;39(1):56-65. doi: 10.1007/s11604-020-01029-w. Epub 2020 Sep 1.
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Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis.扩散加权成像中乳腺肿瘤组织选择的诊断性能:系统评价和荟萃分析。
PLoS One. 2020 May 6;15(5):e0232856. doi: 10.1371/journal.pone.0232856. eCollection 2020.
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Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening.在接受筛查的致密型乳腺女性中,比较用于乳腺癌检测的简化乳腺 MRI 与数字乳腺断层合成术。
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Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI.弥散加权成像及其表观扩散系数图在动态对比增强 MRI 呈非肿块样强化的乳腺病变中的作用有限。
Breast Cancer Res. 2019 Dec 4;21(1):136. doi: 10.1186/s13058-019-1208-y.
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Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group.乳腺弥散加权成像的共识和任务声明:来自 EUSOBI 国际乳腺弥散加权成像工作组。
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Supplemental MRI Screening for Women with Extremely Dense Breast Tissue.致密型乳腺女性的补充性磁共振成像筛查。
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Breast MRI: State of the Art.乳腺 MRI:现状。
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Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).扩散加权成像在减少乳腺 MRI 引导的不必要活检中的应用:ECOG-ACRIN 癌症研究组(A6702)的一项试验。
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弥散加权成像可将乳腺增强 MRI 中 BI-RADS 4 级病变降级,避免不必要的活检。

Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.

机构信息

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Department of Diagnostical and Interventional Radiology, University Hospital Cologne, Cologne, Germany.

出版信息

Clin Cancer Res. 2021 Apr 1;27(7):1941-1948. doi: 10.1158/1078-0432.CCR-20-3037. Epub 2021 Jan 14.

DOI:10.1158/1078-0432.CCR-20-3037
PMID:33446565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8406278/
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.

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 mm/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.

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).

CONCLUSIONS

An ADC cutoff of ≥1.5 × 10 mm/second allows downgrading of lesions classified as BI-RADS 4 on breast CE-MRI. One-third of unnecessary biopsies could thus be avoided.

摘要

目的

在乳腺对比增强磁共振成像(CE-MRI)中,扩散加权成像(DWI)结合表观扩散系数(ADC)的计算被提出作为一种定量生物标志物。需要批准一个可推广的 ADC 截断值。本研究的目的是评估在 CE-MRI 上,一个预设的 ADC 截断值是否可以降低 BI-RADS 4 病变的分级,从而避免不必要的活检。

实验设计

这是一项回顾性、多中心、横断面研究。将五个中心的数据在个体病变水平上进行了汇总。合格的患者在 CE-MRI 上的 BI-RADS 4 评分。每个中心有两名乳腺放射科医生对图像进行评估。收集了病变形态(肿块、非肿块)、大小和 ADC 的数据。组织学是参考标准。应用了先前提出的 ADC 截断值(≥1.5×10mm/second)。阴性似然比为 0.1 或更低被认为是排除乳腺癌的标准。通过 ROC 分析计算诊断性能指标。

结果

共有 657 名女性患者(平均年龄 42 岁,标准差 14.1 岁),纳入了 696 个 BI-RADS 4 病变。疾病患病率为 59.5%(414/696)。ROC 曲线下面积为 0.784。应用研究中的 ADC 截断值,敏感性为 96.6%(400/414)。潜在的不必要活检减少了 32.6%(92/282)。

结论

在乳腺 CE-MRI 上,ADC 截断值≥1.5×10mm/second 可降低 BI-RADS 4 病变的分级。因此,可以避免三分之一的不必要的活检。