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基于系列PET/CT的鼻咽癌放射组学评估:探索长期随访患者生存的预测特征

Nasopharyngeal Carcinoma Radiomic Evaluation with Serial PET/CT: Exploring Features Predictive of Survival in Patients with Long-Term Follow-Up.

作者信息

Dmytriw Adam A, Ortega Claudia, Anconina Reut, Metser Ur, Liu Zhihui A, Liu Zijin, Li Xuan, Sananmuang Thiparom, Yu Eugene, Joshi Sayali, Waldron John, Huang Shao Hui, Bratman Scott, Hope Andrew, Veit-Haibach Patrick

机构信息

Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M4N 3M5, Canada.

Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON M5G 2C4, Canada.

出版信息

Cancers (Basel). 2022 Jun 24;14(13):3105. doi: 10.3390/cancers14133105.

Abstract

PURPOSE

We aim determine the value of PET and CT radiomic parameters on survival with serial follow-up PET/CT in patients with nasopharyngeal carcinoma (NPC) for which curative intent therapy is undertaken.

METHODS

Patients with NPC and available pre-treatment as well as follow up PET/CT were included from 2005 to 2006 and were followed to 2021. Baseline demographic, radiological and outcome data were collected. Univariable Cox proportional hazard models were used to evaluate features from baseline and follow-up time points, and landmark analyses were performed for each time point.

RESULTS

Sixty patients were enrolled, and two-hundred and seventy-eight (278) PET/CT were at baseline and during follow-up. Thirty-eight percent (38%) were female, and sixty-two patients were male. All patients underwent curative radiation or chemoradiation therapy. The median follow-up was 11.72 years (1.26-14.86). Five-year and ten-year overall survivals (OSs) were 80.0% and 66.2%, and progression-free survival (PFS) was 90.0% and 74.4%. Time-dependent modelling suggested that, among others, PET gray-level zone length matrix (GLZLM) gray-level non-uniformity (GLNU) (HR 2.74 95% CI 1.06, 7.05) was significantly associated with OS. Landmark analyses suggested that CT parameters were most predictive at 15 month, whereas PET parameters were most predictive at time points 3, 6, 9 and 15 month.

CONCLUSIONS

This study with long-term follow up data on NPC suggests that mainly PET-derived radiomic features are predictive for OS but not PFS in a time-dependent evaluation. Furthermore, CT radiomic measures may predict OS and PFS best at initial and long-term follow-up time points and PET measures may be more predictive in the interval. These modalities are commonly used in NPC surveillance, and prospective validation should be considered.

摘要

目的

我们旨在确定PET和CT影像组学参数在接受根治性治疗的鼻咽癌(NPC)患者序贯随访PET/CT中的生存价值。

方法

纳入2005年至2006年有可用治疗前及随访PET/CT的NPC患者,并随访至2021年。收集基线人口统计学、放射学和结局数据。使用单变量Cox比例风险模型评估基线和随访时间点的特征,并对每个时间点进行标志性分析。

结果

纳入60例患者,在基线和随访期间有278次PET/CT检查。38%为女性,62例为男性。所有患者均接受了根治性放疗或放化疗。中位随访时间为11.72年(1.26 - 14.86年)。5年和10年总生存率(OS)分别为80.0%和66.2%,无进展生存率(PFS)分别为90.0%和74.4%。时间依赖性模型表明,除其他外,PET灰度共生矩阵(GLZLM)灰度不均匀性(GLNU)(风险比2.74,95%置信区间1.06,7.05)与OS显著相关。标志性分析表明,CT参数在15个月时预测性最强,而PET参数在3、6、9和15个月时间点预测性最强。

结论

这项具有NPC长期随访数据的研究表明,在时间依赖性评估中,主要源自PET的影像组学特征可预测OS,但不能预测PFS。此外,CT影像组学指标在初始和长期随访时间点可能对OS和PFS预测最佳,而PET指标在间隔期可能更具预测性。这些检查方法常用于NPC监测,应考虑进行前瞻性验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9264840/9305cf969424/cancers-14-03105-g001.jpg

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