临床MRI放射学方法改进多发性硬化症丘脑-认知联系

IF 2.3 4区 医学 Q3 CLINICAL NEUROLOGY
Korhan Buyukturkoglu, Lin Lu, Levi Davis, Renan E. Orellana, Charles C. White, Rongyi Sun, Sinem Ozcelik, Nina M. Isenstein, Kaho B. Onomichi, Rifat Iqbal, Binsheng Zhao, Yaakov Stern, Burcu Zeydan, Orhun H. Kantarci, Claire S. Riley, Philip L. De Jager
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引用次数: 0

摘要

背景和目的放射组学提取的影像特征可能无法通过传统的体积分析检测到。鉴于它们在多发性硬化症(MS)中的作用,我们将放射组学应用于丘脑核,并研究了它们与认知表现的关系。方法共纳入601例患者,其中MS [PwMS] 342例,健康对照[HC] 259例。在三维t1加权图像上提取整个丘脑、五个丘脑核和壳核的放射学特征(RF)和体积。采用符号数字模态测试(SDMT)、节奏性听觉序列加法测试(PASAT)和数字符号替代测试(DSST)评估认知表现。在第一个MS队列中,发现集(N = 103)的多元线性回归确定了与SDMT相关的丘脑衍生RF,并在复制集(N = 63)中重新进行了测试。他们与第二组MS队列(N = 176)中的PASAT和HC中的DSST的关联也被评估。然后,我们测试了从壳核中提取的相同rf是否与SDMT相关。最小绝对收缩和选择算子(LASSO)模型评估了射频和体积的综合预测值。结果28对rf感兴趣区域(ROI)对在复制集中与SDMT相关(错误发现率[FDR] <;0.05)。其中24例伴有PASAT (FDR≤0.03),2例伴有DSST。只有腹侧核体积在体积测量中显示出重复的相关性。只有4对壳核衍生对与SDMT相关(FDR = 0.04)。LASSO结果证实射频优于体积。结论从丘脑提取的射频与PwMS的认知表现密切相关,优于体积测量,支持其作为敏感成像生物标志物的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Radiomic Approach to Clinical MRI Refines the Thalamus-Cognition Link in Multiple Sclerosis

Background and Purpose

Radiomics extracts imaging features that may not be detectable through conventional volumetric analyses. Given their role in multiple sclerosis (MS), we applied radiomics to thalamic nuclei and examined their associations with cognitive performance.

Methods

A total of 601 individuals were included (342 people with MS [PwMS] from two cohorts and 259 healthy controls [HC]). Radiomic features (RF) and volumes were extracted from the whole thalamus, five thalamic nuclei, and the putamen segmented on three-dimensional T1-weighted images. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT) and Paced Auditory Serial Addition Test (PASAT) in PwMS and the Digit Symbol Substitution Test (DSST) in HC. In the first MS cohort, multivariate linear regression in a discovery set (N = 103) identified thalamus-derived RF associated with SDMT, which were retested in a replication set (N = 63). Their associations with PASAT in a second MS cohort (N = 176) and DSST in HC were also evaluated. We then tested whether the same RFs, when extracted from the putamen, was associated with SDMT. Least Absolute Shrinkage and Selection Operator (LASSO) models assessed the combined predictive value of RF and volumes.

Results

Twenty-eight RF–region of interest (ROI) pairs were associated with SDMT in the replication set (false discovery rate [FDR] < 0.05). Of these, 24 were also associated with PASAT (FDR ≤ 0.03), and 2 with DSST. Only ventral nuclei volume showed replicated associations among volumetrics. Only four putamen-derived pairs were associated with SDMT (FDR = 0.04). LASSO results confirmed RF outperformed volumes.

Conclusion

RF extracted from the thalamus is strongly associated with cognitive performance in PwMS, outperforming volumetric measures and supporting their potential as sensitive imaging biomarkers.

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来源期刊
Journal of Neuroimaging
Journal of Neuroimaging 医学-核医学
CiteScore
4.70
自引率
0.00%
发文量
117
审稿时长
6-12 weeks
期刊介绍: Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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