Surface-Based Falff: A Potential Novel Biomarker for Prediction of Radiation Encephalopathy in Patients With Nasopharyngeal Carcinoma.

Surface-Based Falff: A Potential Novel Biomarker for Prediction of Radiation Encephalopathy in Patients With Nasopharyngeal Carcinoma.
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基于表面的 Falff 是预测鼻咽癌患者放射性脑病的潜在新型生物标志物

DOI:
10.3389/fnins.2021.692575
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发表时间:
2021
影响因子:
4.3
通讯作者:
Liao WH
Liao WH
中科院分区:
医学2区
文献类型:
--
作者:
Zhang YM;Kang YF;Zeng JJ;Li L;Gao JM;Liu LZ;Shi LR;Liao WH

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放射性脑病(RE)是鼻咽癌(NPC)患者接受放射治疗(RT)的重要潜在并发症,可影响患者的生活质量。然而,尚未建立症状前RE的功能性成像生物标志物。本研究旨在评估辐射诱导的灰质功能改变,并探讨低频波动分数振幅(fALFF)作为预测或诊断鼻咽癌患者RE的影像学生物标志物。共检查了60例NPC患者,21例在RT前队列中,39例在RT后队列中。根据随访中RE的发生率,将RT后队列中的患者进一步分为两个亚组:RT后非RE(n = 21)和RT后随访中证实RE(n = 18)。基于表面和基于体积的fALFF用于检测辐射诱导的功能改变。然后采用功能衍生特征构建RE诊断的预测模型。我们观察到,基于表面的fALFF可以灵敏地检测颞内脑区(如海马和上级颞回)以及颞外脑区(如颞叶和前额叶)辐射诱导的功能改变;然而,使用基于体积的fALFF没有观察到显著的组间差异。未观察到fALFF与同侧颞叶辐射剂量之间的显著相关性。支持向量机(SVM)分析显示,基于表面的fALFF在双边上级颞回和左颞叶表现出令人印象深刻的性能(准确率= 80.49%),在确定患者可能发展为RE。我们的结论是,基于表面的fALFF可以作为一个敏感的成像生物标志物在RE的预测。
Radiation encephalopathy (RE) is an important potential complication in patients with nasopharyngeal carcinoma (NPC) who undergo radiotherapy (RT) that can affect the quality of life. However, a functional imaging biomarker of pre-symptomatic RE has not yet been established. This study aimed to assess radiation-induced gray matter functional alterations and explore fractional amplitude of low-frequency fluctuation (fALFF) as an imaging biomarker for predicting or diagnosing RE in patients with NPC. A total of 60 patients with NPC were examined, 21 in the pre-RT cohort and 39 in the post-RT cohort. Patients in the post-RT cohort were further divided into two subgroups according to the occurrence of RE in follow-up: post-RT non−RE (n = 21) and post-RT REproved infollow−up (n = 18). Surface-based and volume-based fALFF were used to detect radiation-induced functional alterations. Functional derived features were then adopted to construct a predictive model for the diagnosis of RE. We observed that surface-based fALFF could sensitively detect radiation-induced functional alterations in the intratemporal brain regions (such as the hippocampus and superior temporal gyrus), as well as the extratemporal regions (such as the insula and prefrontal lobe); however, no significant intergroup differences were observed using volume-based fALFF. No significant correlation between fALFF and radiation dose to the ipsilateral temporal lobe was observed. Support vector machine (SVM) analysis revealed that surface-based fALFF in the bilateral superior temporal gyri and left insula exhibited impressive performance (accuracy = 80.49%) in identifying patients likely to develop RE. We conclude that surface-based fALFF may serve as a sensitive imaging biomarker in the prediction of RE.
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