Le Quoc Cuong, Arimura Hidetaka, Ninomiya Kenta, Kodama Takumi, Moriyama Tetsuhiro
Ho Chi Minh City Oncology Hospital, Ho Chi Minh City 700000, Vietnam.
Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka City 812-8582, Japan.
Metabolites. 2022 Oct 14;12(10):972. doi: 10.3390/metabo12100972.
This study hypothesized that persistent homology (PH) features could capture more intrinsic information about the metabolism and morphology of tumors from F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography (CT) images of patients with head and neck (HN) cancer than other conventional features. PET/CT images and clinical variables of 207 patients were selected from the publicly available dataset of the Cancer Imaging Archive. PH images were generated from persistent diagrams obtained from PET/CT images. The PH features were derived from the PH PET/CT images. The signatures were constructed in a training cohort from features from CT, PET, PH-CT, and PH-PET images; clinical variables; and the combination of features and clinical variables. Signatures were evaluated using statistically significant differences (-value, log-rank test) between survival curves for low- and high-risk groups and the C-index. In an independent test cohort, the signature consisting of PH-PET features and clinical variables exhibited the lowest log-rank -value of 3.30 × 10 and C-index of 0.80, compared with log-rank -values from 3.52 × 10 to 1.15 × 10 and C-indices from 0.34 to 0.79 for other signatures. This result suggests that PH features can capture the intrinsic information of tumors and predict prognosis in patients with HN cancer.
本研究假设，与其他传统特征相比，持久同调（PH）特征能够从头颈部（HN）癌患者的氟脱氧葡萄糖正电子发射断层扫描（PET）/计算机断层扫描（CT）图像中获取更多关于肿瘤代谢和形态的内在信息。从癌症影像存档的公开数据集中选取了207例患者的PET/CT图像和临床变量。PH图像由从PET/CT图像获得的持久图生成。PH特征源自PH PET/CT图像。特征标记在一个训练队列中构建，该队列包含来自CT、PET、PH-CT和PH-PET图像的特征、临床变量以及特征与临床变量的组合。使用低风险组和高风险组生存曲线之间的统计学显著差异（P值，对数秩检验）和C指数对特征标记进行评估。在一个独立的测试队列中，由PH-PET特征和临床变量组成的特征标记的对数秩P值最低，为3.30×10，C指数为0.80，而其他特征标记的对数秩P值从3.52×10到1.15×10不等，C指数从0.34到0.79不等。这一结果表明PH特征能够捕获肿瘤的内在信息并预测HN癌患者的预后。
