Cardiovascular magnetic resonance radiologic-pathologic correlation in radiomic analysis of myocardium in non-ischemic dilated cardiomyopathy.

IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Amine Amyar, Shiro Nakamori, Long Ngo, Masaki Ishida, Satoshi Nakamura, Taku Omori, Keishi Moriwaki, Naoki Fujimoto, Kyoko Imanaka-Yoshida, Hajime Sakuma, Kaoru Dohi, Warren J Manning, Reza Nezafat
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引用次数: 0

Abstract

Background: There is a growing interest in cardiovascular magnetic resonance (CMR) radiomic signatures as novel imaging biomarkers of cardiac disease. However, very little is known about pathological correlates of the radiomics signature of myocardium on CMR sequences. In this study, we sought to investigate the association between CMR myocardial radiomic signatures and histological features in patients with non-ischemic dilated cardiomyopathy (DCM).

Methods: CMR images from DCM patients who underwent CMR followed by endomyocardial biopsy within 6 [2-15] days were used to investigate the association between myocardial radiomic signatures measured from native T1, extra-cellular volume (ECV), late gadolinium enhancement (LGE) and histological features. Radiomic first-order and textural features were computed for each sequence from the mid-septal myocardium near the biopsy region. Hierarchical clustering was then applied to identify distinct radiomic clusters. A representative feature known as the "medoid" was identified within each cluster based on its minimal dissimilarity from other features. Logistic regression models were built using one medoid per model to evaluate the association between each medoid and histological feature. Association was determined using odds ratio (OR) with a 95% confidence interval.

Results: 132 DCM patients (71% male, 94/132; 54 ± 15 years) were included in the study. Clustering analysis unveiled two radiomic clusters for each sequence. For native T1, the medoids were textural features. The first medoid was associated with fibrosis, inflammation, myocyte hypertrophy, vacuolization, and fat replacement (OR = 2.84 [1.62-5.46]; OR = 2.05 [1.15-4.03]; OR = 2.39 [1.01-6.62]; OR = 2.03 [1.22-3.60]; OR = 0.35 [0.12-0.86]; respectively). The second medoid was associated with nuclear generation (OR = 0.55 [0.31-0.91]). ECV medoids included first-order and textural features. The first-order medoid was associated with fibrosis (OR = 2.97 [1.75-5.46]), myocyte hypertrophy (OR = 3.20 [1.17-10.37]), and nuclear degeneration (OR = 1.66 [1.02-2.89]), while medoid 2 (texture) was associated with fibrosis (OR = 4.44 [2.26-10.00]). LGE medoid 1 (texture) was associated with myocyte hypertrophy (OR = 0.31 [0.10-0.77]), while medoid 2 (texture) was associated with fibrosis (OR = 2.40 [1.38-4.66]) and vacuolization (OR = 2.00 [1.16-3.72]).

Conclusions: In DCM patients, CMR radiomic signatures were associated with myocardial tissue composition, as assessed by invasive biopsy.

非缺血性扩张型心肌病心肌放射组学分析中的CMR影像学-病理相关性。
背景:CMR放射学特征作为心脏疾病的新型成像生物标志物越来越受到关注。然而,对CMR序列上心肌放射组学特征的病理相关性知之甚少。目的:探讨非缺血性扩张型心肌病(DCM)患者CMR心肌放射学特征与组织学特征的关系。材料和方法:DCM患者在6[2-15]天内行CMR并行心内膜活检,CMR图像用于研究原生T1、细胞外体积(ECV)、晚期钆增强(LGE)测量的心肌放射学特征与组织学特征之间的关系。从活检区域附近的中间隔心肌计算每个序列的放射学一阶和纹理特征。然后应用分层聚类来识别不同的放射性簇。根据与其他特征的最小差异,在每个集群中确定一个称为“mediid”的代表性特征。每个模型使用一个介质建立逻辑回归模型,以评估每个介质与组织学特征之间的关系。使用比值比(OR)确定相关性,置信区间为95%。结果:132例DCM患者(71%为男性;54±15岁)纳入研究。聚类分析揭示了每个序列的两个放射性聚类。对于原生T1,介质为纹理特征。第一种介质与纤维化、炎症、心肌细胞肥大、空泡化和脂肪替代相关(OR=2.84[1.62-5.46];= 2.05 (1.15 - -4.03);= 2.39 (1.01 - -6.62);= 2.03 (1.22 - -3.60);= 0.35 (0.12 - -0.86);分别)。第二种介质与核发生相关(OR=0.55[0.31-0.91])。ECV介质包括一阶特征和纹理特征。一级媒质与纤维化(OR=2.97[1.75-5.46])、心肌细胞肥大(OR=3.20[1.17-10.37])和核变性(OR=1.66[1.02-2.89])相关,而二级媒质(质地)与纤维化相关(OR=4.44[2.26-10.00])。LGE媒质1(质地)与心肌细胞肥大相关(OR=0.31[0.10-0.77]),媒质2(质地)与纤维化相关(OR=2.40[1.38-4.66])和空泡化相关(OR=2.00[1.16-3.72])。结论:通过侵入性活检评估,在DCM患者中,CMR放射学特征与心肌组织组成相关。
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
CiteScore
10.90
自引率
12.50%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to: New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system. New methods to enhance or accelerate image acquisition and data analysis. Results of multicenter, or larger single-center studies that provide insight into the utility of CMR. Basic biological perceptions derived by CMR methods.
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