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三室受限谱成像乳腺模型在扩散加权成像上可区分恶性病变与良性病变及健康组织。

Tri-Compartmental Restriction Spectrum Imaging Breast Model Distinguishes Malignant Lesions from Benign Lesions and Healthy Tissue on Diffusion-Weighted Imaging.

作者信息

Besser Alexandra H, Fang Lauren K, Tong Michelle W, Andreassen Maren M. Sjaastad, Ojeda-Fournier Haydee, Conlin Christopher C, Loubrie Stéphane, Seibert Tyler M, Hahn Michael E, Kuperman Joshua M, Wallace Anne M, Dale Anders M, Rodríguez-Soto Ana E, Rakow-Penner Rebecca A

机构信息

Department of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.

Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway.

出版信息

Cancers (Basel). 2022 Jun 30;14(13):3200. doi: 10.3390/cancers14133200.

DOI:10.3390/cancers14133200
PMID:35804972
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9264763/
Abstract

Diffusion-weighted MRI (DW-MRI) offers a potential adjunct to dynamic contrast-enhanced MRI to discriminate benign from malignant breast lesions by yielding quantitative information about tissue microstructure. Multi-component modeling of the DW-MRI signal over an extended -value range (up to 3000 s/mm) theoretically isolates the slowly diffusing (restricted) water component in tissues. Previously, a three-component restriction spectrum imaging (RSI) model demonstrated the ability to distinguish malignant lesions from healthy breast tissue. We further evaluated the utility of this three-component model to differentiate malignant from benign lesions and healthy tissue in 12 patients with known malignancy and synchronous pathology-proven benign lesions. The signal contributions from three distinct diffusion compartments were measured to generate parametric maps corresponding to diffusivity on a voxel-wise basis. The three-component model discriminated malignant from benign and healthy tissue, particularly using the restricted diffusion compartment and product of the restricted and intermediate diffusion compartments ( and ). However, benign lesions and healthy tissue did not significantly differ in diffusion characteristics. Quantitative discrimination of these three tissue types (malignant, benign, and healthy) in non-pre-defined lesions may enhance the clinical utility of DW-MRI in reducing excessive biopsies and aiding in surveillance and surgical evaluation without repeated exposure to gadolinium contrast.

摘要

扩散加权磁共振成像(DW-MRI)通过提供有关组织微观结构的定量信息,为动态对比增强磁共振成像提供了一种潜在的辅助手段,以区分乳腺良性和恶性病变。在扩展的 值范围(高达3000 s/mm²)内对DW-MRI信号进行多组分建模,理论上可以分离出组织中缓慢扩散(受限)的水成分。此前,一种三组分受限谱成像(RSI)模型已证明能够区分恶性病变与健康乳腺组织。我们进一步评估了这种三组分模型在12例已知恶性肿瘤且伴有病理证实的同步良性病变患者中区分恶性与良性病变及健康组织的效用。测量了来自三个不同扩散腔室的信号贡献,以逐体素生成与扩散率相对应的参数图。三组分模型能够区分恶性与良性及健康组织,特别是利用受限扩散腔室以及受限和中间扩散腔室的乘积( 和 )。然而,良性病变与健康组织在扩散特征上并无显著差异。对这些非预先定义病变中的三种组织类型(恶性、良性和健康)进行定量区分,可能会提高DW-MRI在减少过度活检以及辅助监测和手术评估方面的临床效用,同时避免反复接触钆造影剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/e12648abf366/cancers-14-03200-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/0baf163f583a/cancers-14-03200-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/8cbeda67ecf1/cancers-14-03200-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/d7e76f3008ce/cancers-14-03200-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/8798ddf26f47/cancers-14-03200-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/e12648abf366/cancers-14-03200-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/0baf163f583a/cancers-14-03200-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/8cbeda67ecf1/cancers-14-03200-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/d7e76f3008ce/cancers-14-03200-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/8798ddf26f47/cancers-14-03200-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf3/9264763/e12648abf366/cancers-14-03200-g005.jpg

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