Delta radiomics to track radiation response in lung tumors receiving stereotactic magnetic resonance-guided radiotherapy

Yining Zha , Zezhong Ye , Anna Zapaishchykova , John He , Shu-Hui Hsu , Jonathan E. Leeman , Kelly J. Fitzgerald , David E. Kozono , Raymond H. Mak , Hugo J.W.L. Aerts , Benjamin H. Kann
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Abstract

Background and purpose

Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. However, the heterogeneous response to radiation at the tumor level poses challenges. Currently, standardized dosage regimens lack adaptation based on individual patient or tumor characteristics. Thus, we explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response, inform personalized radiotherapy dosing, and predict outcomes.

Materials and methods

A retrospective study of 47 MR-guided lung SBRT treatments for 39 patients was conducted. Radiomic features were extracted using Pyradiomics, and stability was evaluated temporally and spatially. Delta radiomics were correlated with radiation dose delivery and assessed for associations with tumor control and survival with Cox regressions.

Results

Among 107 features, 49 demonstrated temporal stability, and 57 showed spatial stability. Fifteen stable and non-collinear features were analyzed. Median Skewness and surface to volume ratio decreased with radiation dose fraction delivery, while coarseness and 90th percentile values increased. Skewness had the largest relative median absolute changes (22 %–45 %) per fraction from baseline and was associated with locoregional failure (p = 0.012) by analysis of covariance. Skewness, Elongation, and Flatness were significantly associated with local recurrence-free survival, while tumor diameter and volume were not.

Conclusions

Our study establishes the feasibility and stability of delta radiomics analysis for MR-guided lung SBRT. Findings suggest that MR delta radiomics can capture short-term radiographic manifestations of the intra-tumoral radiation effect.

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利用德尔塔放射组学追踪接受立体定向磁共振引导放疗的肺部肿瘤的放射反应
背景和目的肺癌是癌症相关死亡的主要原因,立体定向体放射治疗(SBRT)已成为早期肺癌的标准治疗方法。然而,肿瘤水平对辐射的异质性反应带来了挑战。目前,标准化剂量方案缺乏基于患者个体或肿瘤特征的适应性。因此,我们从治疗中的磁共振(MR)成像中探索δ放射组学的潜力,以跟踪放射剂量反应,为个性化放疗剂量提供信息,并预测疗效。使用Pyradiomics提取放射组学特征,并从时间和空间上评估稳定性。结果在 107 个特征中,49 个具有时间稳定性,57 个具有空间稳定性。对 15 个稳定的非共线性特征进行了分析。中位偏斜度和表面体积比随着放射剂量分数的投放而降低,而粗糙度和第90百分位值则有所增加。通过协方差分析,每分次的相对中位绝对值变化最大(22 %-45 %),并且与局部失败相关(p = 0.012)。斜度、拉长度和平坦度与无局部复发生存率显著相关,而肿瘤直径和体积则不相关。结论我们的研究证实了三角放射组学分析在 MR 引导的肺 SBRT 中的可行性和稳定性。研究结果表明,磁共振三角放射组学可以捕捉到瘤内放射效应的短期放射学表现。
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来源期刊
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology Physics and Astronomy-Radiation
CiteScore
5.30
自引率
18.90%
发文量
93
审稿时长
6 weeks
期刊最新文献
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