Abstract：
OBJECTIVE: 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).
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).
CONCLUSIONS: Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.
CONCLUSIONS: 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.
CONCLUSIONS: 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.
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).
CONCLUSIONS: Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.
CONCLUSIONS: 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.
CONCLUSIONS: 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T1加权信号强度与T2加权信号强度(T1-w/T2-w)比值图像得出的影像组学评分(Rad-score)与帕金森病(PD)运动症状进展之间的关联。
方法：这项回顾性研究纳入了帕金森病进展标志物计划中的PD患者。运动障碍协会-帕金森病统一评定量表第III部分评分≥33和/或Hoehn和Yahr分期≥3表示运动功能下降。使用从T1-w/T2-w比率图像中提取的影像组学特征构建Rad评分。Kaplan-Meier分析和Cox回归分析用于评估高和低Rad评分组之间运动功能下降的时间差。
结果：总共171例PD患者被分为训练（n=101，基线时的平均年龄，61.6±9.3岁）和测试（n=70，基线时的平均年龄，61.6±10年）。在训练数据集中，高Rad评分组的患者运动功能下降的时间短于低Rad评分组的患者（log-rank检验，p<0.001)和测试数据集(对数秩检验，p<0.001)。使用Rad评分和临床因素的多变量Cox回归显示，在训练数据集（HR=2.368，95CI：1.423-3.943，p<0.001）和测试数据集（HR=2.931，95CI：1.472-5.837，p=0.002）中，Rad评分与运动功能下降之间存在显着关联。
结论：基于T1-w/T2-w比值图像的影像组学特征的Rad评分与PD运动症状进展相关。
结论：来自T1加权/T2加权比值图像的影像组学评分为评估PD患者运动症状进展提供了一种预测工具。
结论：来自T1加权/T2加权比值图像的影像组学评分与帕金森病的运动症状相关。较高的影像组学评分与帕金森病患者更快的运动功能下降相关。所提出的影像组学评分提供了对帕金森病运动症状进展的预测见解。
方法：这项回顾性研究纳入了帕金森病进展标志物计划中的PD患者。运动障碍协会-帕金森病统一评定量表第III部分评分≥33和/或Hoehn和Yahr分期≥3表示运动功能下降。使用从T1-w/T2-w比率图像中提取的影像组学特征构建Rad评分。Kaplan-Meier分析和Cox回归分析用于评估高和低Rad评分组之间运动功能下降的时间差。
结果：总共171例PD患者被分为训练（n=101，基线时的平均年龄，61.6±9.3岁）和测试（n=70，基线时的平均年龄，61.6±10年）。在训练数据集中，高Rad评分组的患者运动功能下降的时间短于低Rad评分组的患者（log-rank检验，p<0.001)和测试数据集(对数秩检验，p<0.001)。使用Rad评分和临床因素的多变量Cox回归显示，在训练数据集（HR=2.368，95CI：1.423-3.943，p<0.001）和测试数据集（HR=2.931，95CI：1.472-5.837，p=0.002）中，Rad评分与运动功能下降之间存在显着关联。
结论：基于T1-w/T2-w比值图像的影像组学特征的Rad评分与PD运动症状进展相关。
结论：来自T1加权/T2加权比值图像的影像组学评分为评估PD患者运动症状进展提供了一种预测工具。
结论：来自T1加权/T2加权比值图像的影像组学评分与帕金森病的运动症状相关。较高的影像组学评分与帕金森病患者更快的运动功能下降相关。所提出的影像组学评分提供了对帕金森病运动症状进展的预测见解。
