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基于 T1-w/T2-w 比值图像的放射组学评分可预测帕金森病的运动症状进展。

Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson's disease.

机构信息

Department of Neuroimaging and Brain Science, Major in Health Science, Graduate School of Health Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.

Department of Molecular Imaging, Clinical Collaboration Unit, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.

出版信息

Eur Radiol. 2024 Dec;34(12):7921-7933. doi: 10.1007/s00330-024-10886-2. Epub 2024 Jul 3.

DOI:10.1007/s00330-024-10886-2
PMID:38958697
Abstract

OBJECTIVES

To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson's disease (PD).

MATERIALS AND METHODS

This retrospective study included patients with PD enrolled in the Parkinson's Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson's Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups.

RESULTS

A total of 171 patients with PD were divided into training (n = 101, mean age at baseline, 61.6 ± 9.3 years) and testing (n = 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test, p < 0.001) and testing dataset (log-rank test, p < 0.001). The multivariate Cox regression using the Rad-score and clinical factors revealed a significant association between the Rad-score and motor function decline in the training dataset (HR = 2.368, 95%CI:1.423-3.943, p < 0.001) and testing dataset (HR = 2.931, 95%CI:1.472-5.837, p = 0.002).

CONCLUSION

Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.

CLINICAL RELEVANCE STATEMENT

The radiomics score derived from the T1-weighted/T2-weighted ratio images offers a predictive tool for assessing the progression of motor symptom in patients with PD.

KEY POINTS

Radiomics score derived from T1-weighted/T2-weighted ratio images is correlated with the motor symptoms of Parkinson's disease. A high radiomics score correlated with faster motor function decline in patients with Parkinson's disease. The proposed radiomics score offers predictive insight into the progression of motor symptoms of Parkinson's disease.

摘要

目的

阐明基于 T1 加权信号强度与 T2 加权信号强度(T1-w/T2-w)比值图像衍生的放射组学评分(Rad-score)与帕金森病(PD)运动症状进展之间的关系。

材料与方法

本回顾性研究纳入了帕金森进展标志物倡议中入组的 PD 患者。运动障碍协会统一帕金森病评定量表第三部分评分≥33 分和/或 Hoehn 和 Yahr 分期≥3 期表明运动功能下降。使用从 T1-w/T2-w 比值图像中提取的放射组学特征构建 Rad-score。采用 Kaplan-Meier 分析和 Cox 回归分析评估高、低 Rad-score 组之间运动功能下降的时间差异。

结果

共纳入 171 例 PD 患者,分为训练集(n=101,基线时平均年龄,61.6±9.3 岁)和测试集(n=70,基线时平均年龄,61.6±10 岁)。在训练数据集(对数秩检验,p<0.001)和测试数据集(对数秩检验,p<0.001)中,高 Rad-score 组患者的运动功能下降时间短于低 Rad-score 组患者。使用 Rad-score 和临床因素的多变量 Cox 回归显示,Rad-score 与训练数据集(风险比[HR],2.368;95%置信区间[CI]:1.423-3.943;p<0.001)和测试数据集(HR,2.931;95%CI:1.472-5.837;p=0.002)的运动功能下降显著相关。

结论

基于 T1-w/T2-w 比值图像的放射组学特征衍生的 Rad-score 与 PD 运动症状的进展相关。

临床相关性声明

基于 T1 加权/T2 加权比值图像的放射组学评分提供了一种评估 PD 患者运动症状进展的预测工具。

要点

基于 T1 加权/T2 加权比值图像的放射组学评分与帕金森病的运动症状相关。高放射组学评分与帕金森病患者的运动功能更快下降相关。提出的放射组学评分可提供对帕金森病运动症状进展的预测性见解。

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