Long-term prediction of radiation-induced optic neuropathy: A mixed-effects analysis of visual field kinetics following proton therapy

IF 5.3 1区 医学 Q1 ONCOLOGY
Thao-Nguyen Pham , Thibaud Mathis , Nathan Azemar , Anthony Vela , Jean-Claude Quintyn , Juliette Thariat
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Abstract

Introduction

Radiation-induced optic neuropathy (RION) is a rare but serious complication of radiotherapy, leading to progressive vision loss. The temporal dynamics of RION are poorly understood, limiting effective monitoring and intervention. We developed a predictive mixed-effects model of visual field deterioration, a sensitive surrogate marker for clinically-reported RION, by integrating longitudinal clinical and dosimetric data, to anticipate long-term visual outcomes.

Methods

Out of a prospective database of 238 patients, 179 eyes from 105 patients treated with pencil beam scanning proton therapy were included. All selected eyes had no significant visual field deficit at baseline, defined as a mean visual sensitivity loss better than −6 dB. Baseline clinical characteristics, detailed dosimetric data, and longitudinal visual field assessments were collected. Temporal changes in mean visual sensitivity were analyzed using feature selection through random forest models and linear regression. A nonlinear mixed-effects model was then developed to predict the trajectory of visual field deterioration over time.

Results

Visual field deterioration progressed significantly over time, with a quadratic model best capturing the kinetics. Mean sensitivity loss accelerated with increasing age and clinical target volume. Incorporating the full dose-volume histogram, the volume of the optic chiasma received at least 40 Gy (V40/chiasma), improved model performance. Simulation based on this model showed that the probability of RION increased sharply over time: 4.6 % at 2 years, and 28.3 % at 5 years.

Conclusion

This model confirms and expands upon prior work by showing that clinical factors can outweigh dosimetric ones in predicting RION progression. Our model was capable of predicting long-term visual outcomes even in patients with limited follow-up.
放射诱导视神经病变的长期预测:质子治疗后视野动力学的混合效应分析。
摘要放射性视神经病变(RION)是一种罕见但严重的放射治疗并发症,可导致进行性视力丧失。人们对RION的时间动态知之甚少,限制了有效的监测和干预。通过整合纵向临床和剂量学数据,我们建立了一个预测视野恶化的混合效应模型,这是临床报告的RION的敏感替代标志物,以预测长期视力结果。方法:在238例患者的前瞻性数据库中,包括105例接受铅笔束扫描质子治疗的患者的179只眼睛。所有选择的眼睛在基线时没有明显的视野缺陷,定义为平均视觉灵敏度损失优于-6 dB。收集基线临床特征、详细剂量学数据和纵向视野评估。通过随机森林模型和线性回归的特征选择分析了平均视觉灵敏度的时间变化。然后建立了一个非线性混合效应模型来预测视野随时间恶化的轨迹。结果:随着时间的推移,视野恶化进展明显,二次模型最能捕捉动力学。平均敏感性损失随着年龄和临床靶体积的增加而加速。结合完整的剂量-体积直方图,视交叉的体积接受至少40 Gy (V40/交叉),提高了模型性能。基于该模型的模拟表明,随着时间的推移,RION的概率急剧增加:2 年为4.6 %,5 年为28.3 %。结论:该模型证实并扩展了先前的工作,表明临床因素在预测RION进展方面可以超过剂量学因素。我们的模型即使在随访有限的患者中也能预测长期视力结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiotherapy and Oncology
Radiotherapy and Oncology 医学-核医学
CiteScore
10.30
自引率
10.50%
发文量
2445
审稿时长
45 days
期刊介绍: Radiotherapy and Oncology publishes papers describing original research as well as review articles. It covers areas of interest relating to radiation oncology. This includes: clinical radiotherapy, combined modality treatment, translational studies, epidemiological outcomes, imaging, dosimetry, and radiation therapy planning, experimental work in radiobiology, chemobiology, hyperthermia and tumour biology, as well as data science in radiation oncology and physics aspects relevant to oncology.Papers on more general aspects of interest to the radiation oncologist including chemotherapy, surgery and immunology are also published.
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