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鼻咽癌患者治疗前后 F-FDG PET 影像的放射组学特征的预后价值。

The prognostic value of radiomic features from pre- and post-treatment F-FDG PET imaging in patients with nasopharyngeal carcinoma.

机构信息

Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.

Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.

出版信息

Sci Rep. 2023 May 25;13(1):8462. doi: 10.1038/s41598-023-35582-x.

Abstract

Positron emission tomography/computed tomography (PET/CT) with F-fluorodeoxyglucose (FDG) is widely used for management of nasopharyngeal carcinoma (NPC). Combining the radiomic features of pre- and post-treatment FDG PET images may improve tumor characterization and prognostic predication. We investigated prognostic value of radiomic features from pre- and post-radiotherapy FDG PET images in patients with NPC. Quantitative radiomic features of primary tumors were extracted from the FDG PET images of 145 NPC patients and the delta values were also calculated. The study population was divided randomly into two groups, the training and test sets (7:3). A random survival forest (RSF) model was adopted to perform analyses of progression-free survival (PFS) and overall survival (OS). There were 37 (25.5%) cases of recurrence and 16 (11.0%) cases of death during a median follow-up period of 54.5 months. Both RSF models with clinical variables and radiomic PET features for PFS and OS showed comparable predictive performance to RSF models with clinical variables and conventional PET parameters. Tumoral radiomic features of pre- and post-treatment FDG PET and the corresponding delta values may predict PFS and OS in patients with NPC.

摘要

正电子发射断层扫描/计算机断层扫描(PET/CT)联合 F-氟脱氧葡萄糖(FDG)广泛应用于鼻咽癌(NPC)的治疗管理。结合治疗前后 FDG PET 图像的放射组学特征可能会提高肿瘤的特征描述和预后预测能力。我们研究了 NPC 患者治疗前后 FDG PET 图像的放射组学特征的预后价值。从 145 名 NPC 患者的 FDG PET 图像中提取原发肿瘤的定量放射组学特征,并计算出差值。研究人群随机分为训练组和测试组(7:3)。采用随机生存森林(RSF)模型对无进展生存期(PFS)和总生存期(OS)进行分析。中位随访 54.5 个月期间,有 37 例(25.5%)患者复发,16 例(11.0%)患者死亡。具有临床变量和放射组学 PET 特征的 PFS 和 OS 的 RSF 模型与具有临床变量和常规 PET 参数的 RSF 模型的预测性能相当。治疗前后 FDG PET 的肿瘤放射组学特征及其相应的差值可能预测 NPC 患者的 PFS 和 OS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a35/10213051/1c6cd90b267b/41598_2023_35582_Fig1_HTML.jpg

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