在丰富的乳腺癌筛查队列中利用限制性频谱成像核磁共振鉴别良性病变和恶性病变

IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Stephane Loubrie, Jingjing Zou, Ana E. Rodriguez‐Soto, Jihe Lim, Maren M.S. Andreassen, Yuwei Cheng, Summer J. Batasin, Sheida Ebrahimi, Lauren K. Fang, Christopher C. Conlin, Tyler M. Seibert, Michael E. Hahn, Vandana Dialani, Catherine J. Wei, Zahra Karimi, Joshua Kuperman, Anders M. Dale, Haydee Ojeda‐Fournier, Etta Pisano, Rebecca Rakow‐Penner
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Complementary non‐invasive imaging techniques would be useful to improve specificity.PurposeTo evaluate the performance of a previously‐developed breast‐specific diffusion‐weighted MRI (DW‐MRI) model (BS‐RSI3C) to improve discrimination between CL, HRBL, and ARBL in an enriched screening population.Study TypeProspective.SubjectsExactly 187 women, either with mammography screening recommending additional imaging (N = 49) or high‐risk individuals undergoing routine breast MRI (N = 138), before the biopsy.Field Strength/SequenceMultishell DW‐MRI echo planar imaging sequence with a reduced field of view at 3.0 T.AssessmentA total of 72 women had at least one biopsied lesion, with 89 lesions categorized into ARBL, HRBL, CL, and combined CLs and HRBLs (CHRLs). 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引用次数: 0

摘要

背景建议高危妇女使用动态对比增强磁共振成像(DCE-MRI)进行乳腺癌筛查,但这种方法存在局限性,包括特异性不一以及难以区分癌变(CL)和高危良性病变(HRBL)与一般风险良性病变(ARBL)。目的 评估之前开发的乳腺特异性弥散加权磁共振成像(DW-MRI)模型(BS-RSI3C)的性能,以提高丰富筛查人群对CL、HRBL和ARBL的分辨能力。评估共有72名女性至少有一个活检病灶,其中89个病灶被分为ARBL、HRBL、CL以及CL和HRBL联合病灶(CHRL)。对 DW-MRI 数据进行处理,生成表观弥散系数(ADC)图,并根据 BS-RSI3C 模型估计信号贡献(分别为 C1、C2 和 C3-受限弥散、受阻弥散和自由弥散)。病变感兴趣区(ROI)由两位放射科医生根据可疑的 DCE-MRI 结果在 DW 图像上划定;对照 ROI 在对侧乳房中绘制。P值采用Bonferroni方法进行多重检验调整,显著性水平为P = 0.05。结果C1、√C1C2和HRBLs与ARBLs相比有显著差异(P值为0.05)。在区分CHRL和ARBL方面,BS-RSI3C的AUC(0.821)最高,优于ADC(0.696),尤其是在非质量增强方面(0.776 vs. 0.517)。数据结论本研究表明,BS-RSI3C可在筛查人群中区分HRBL和ARBL,并比ADC更好地将CHRL与ARBL区分开来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrimination Between Benign and Malignant Lesions With Restriction Spectrum Imaging MRI in an Enriched Breast Cancer Screening Cohort
BackgroundBreast cancer screening with dynamic contrast‐enhanced MRI (DCE‐MRI) is recommended for high‐risk women but has limitations, including variable specificity and difficulty in distinguishing cancerous (CL) and high‐risk benign lesions (HRBL) from average‐risk benign lesions (ARBL). Complementary non‐invasive imaging techniques would be useful to improve specificity.PurposeTo evaluate the performance of a previously‐developed breast‐specific diffusion‐weighted MRI (DW‐MRI) model (BS‐RSI3C) to improve discrimination between CL, HRBL, and ARBL in an enriched screening population.Study TypeProspective.SubjectsExactly 187 women, either with mammography screening recommending additional imaging (N = 49) or high‐risk individuals undergoing routine breast MRI (N = 138), before the biopsy.Field Strength/SequenceMultishell DW‐MRI echo planar imaging sequence with a reduced field of view at 3.0 T.AssessmentA total of 72 women had at least one biopsied lesion, with 89 lesions categorized into ARBL, HRBL, CL, and combined CLs and HRBLs (CHRLs). DW‐MRI data were processed to produce apparent diffusion coefficient (ADC) maps, and estimate signal contributions (C1, C2, and C3—restricted, hindered, and free diffusion, respectively) from the BS‐RSI3C model. Lesion regions of interest (ROIs) were delineated on DW images based on suspicious DCE‐MRI findings by two radiologists; control ROIs were drawn in the contralateral breast.Statistical TestsOne‐way ANOVA and two‐sided t‐tests were used to assess differences in signal contributions and ADC values among groups. P‐values were adjusted using the Bonferroni method for multiple testing, P = 0.05 was used for the significance level. Receiver operating characteristics (ROC) curves and intra‐class correlations (ICC) were also evaluated.ResultsC1, √C1C2, and were significantly different in HRBLs compared with ARBLs (P‐values < 0.05). The had the highest AUC (0.821) in differentiating CHRLs from ARBLs, performing better than ADC (0.696), especially in non‐mass enhancement (0.776 vs. 0.517).Data ConclusionThis study demonstrated the BS‐RSI3C could differentiate HRBLs from ARBLs in a screening population, and separate CHRLs from ARBLs better than ADC.Level of Evidence1.Technical Efficacy Stage2.
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来源期刊
CiteScore
9.70
自引率
6.80%
发文量
494
审稿时长
2 months
期刊介绍: The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
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