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基于 MRI 放射组学列线图预测微血管减压术后经典三叉神经痛患者的长期预后:一项多中心研究。

Predicting long-term outcomes in patients with classical trigeminal neuralgia following microvascular decompression with an MRI-based radiomics nomogram: a multicentre study.

机构信息

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

出版信息

Eur Radiol. 2024 Nov;34(11):7349-7361. doi: 10.1007/s00330-024-10775-8. Epub 2024 May 8.

Abstract

OBJECTIVES

This study aimed to develop a clinical-radiomics nomogram to predict the long-term outcomes of patients with classical trigeminal neuralgia (CTN) following microvascular decompression (MVD).

MATERIALS AND METHODS

This retrospective study included 455 patients with CTN who underwent MVD from three independent institutions A total of 2030 radiomics features from the cistern segment of the trigeminal nerve were extracted computationally from the three-dimensional steady-state free precession and three-dimensional time-of-flight magnetic resonance angiography sequences. Using the least absolute shrinkage and selection operator regression, 16 features were chosen to develop radiomics signatures. A clinical-radiomics nomogram was subsequently developed in the development cohort of 279 patients via multivariate Cox regression. The predictive performance and clinical application of the nomogram were assessed in an external cohort consisting of 176 patients.

RESULTS

Sixteen highly outcome-related radiomics features extracted from multisequence images were used to construct the radiomics model, with concordance indices (C-index) of 0.804 and 0.796 in the development and test cohorts, respectively. Additionally, a clinical-radiomics nomogram was developed by incorporating both radiomics features and clinical characteristics (i.e., pain type and degree of neurovascular compression) and yielded higher C-indices of 0.865 and 0.834 in the development and test cohorts, respectively. K‒M survival analysis indicated that the nomogram successfully stratified patients with CTN into high-risk and low-risk groups for poor outcomes (hazard ratio: 37.18, p < 0.001).

CONCLUSION

Our study findings indicated that the clinical-radiomics nomogram exhibited promising performance in accurately predicting long-term pain outcomes following MVD.

CLINICAL RELEVANCE STATEMENT

This model had the potential to aid clinicians in making well-informed decisions regarding the treatment of patients with CTN.

KEY POINTS

Trigeminal neuralgia recurs in about one-third of patients after undergoing MVD. The clinical-radiomics nomogram stratified patients into high- and low-risk groups for poor surgical outcomes. Using this nomogram could better inform patients of recurrence risk and allow for discussion of alternative treatments.

摘要

目的

本研究旨在开发一种临床放射组学列线图,以预测接受微血管减压术(MVD)治疗的典型三叉神经痛(CTN)患者的长期预后。

材料和方法

本回顾性研究纳入了来自三个独立机构的 455 例接受 MVD 治疗的 CTN 患者。共从三维稳态自由进动和三维时间飞跃磁共振血管造影序列中计算提取三叉神经池段的 2030 个放射组学特征。采用最小绝对收缩和选择算子回归,选择 16 个特征来开发放射组学特征。随后,通过多变量 Cox 回归在 279 例患者的开发队列中开发临床放射组学列线图。在由 176 例患者组成的外部队列中评估了该列线图的预测性能和临床应用。

结果

从多序列图像中提取了 16 个与结局高度相关的放射组学特征,构建了放射组学模型,在开发和验证队列中的一致性指数(C-index)分别为 0.804 和 0.796。此外,通过纳入放射组学特征和临床特征(即疼痛类型和神经血管压迫程度),构建了临床放射组学列线图,在开发和验证队列中的 C-index 分别为 0.865 和 0.834,更高。K-M 生存分析表明,该列线图成功地将 CTN 患者分为预后不良的高风险和低风险组(风险比:37.18,p<0.001)。

结论

我们的研究结果表明,临床放射组学列线图在准确预测 MVD 后长期疼痛结局方面表现出良好的性能。

临床相关性声明

该模型有可能帮助临床医生在治疗 CTN 患者方面做出明智的决策。

关键点

接受 MVD 治疗后,约三分之一的三叉神经痛患者会复发。临床放射组学列线图将患者分为预后不良的高风险和低风险组。使用该列线图可以更好地告知患者复发风险,并允许讨论替代治疗方案。

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