Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea.
Department of Computational Science and Engineering, Yonsei University, Seoul, South Korea.
Sci Rep. 2019 Mar 14;9(1):4501. doi: 10.1038/s41598-018-37748-4.
Patients with papillary thyroid carcinoma (PTC) would benefit from risk stratification tools that can aid in planning personalized treatment and follow-up. The aim of this study was to develop a conventional ultrasound (US)-based radiomics signature to estimate disease-free survival (DFS) in patients with conventional PTC. Imaging features were extracted from the pretreatment US images of 768 patients with conventional PTC who were treated between January 2004 and February 2006. The median follow-up period was 117.3 months, with 85 (11.1%) events. A radiomics signature (Rad-score) was generated by using the least absolute shrinkage and selection operator (LASSO) method in Cox regression. The Rad-score was significantly associated with DFS (hazard ratio [HR], 3.087; P < 0.001), independent of clinicopathologic risk factors. A radiomics model which incorporated the Rad-score demonstrated better performance in the estimation of DFS (C-index: 0.777; 95% confidence interval [CI]: 0.735, 0.829) than the clinicopathologic model (C-index: 0.721; 95% CI: 0.675, 0.780). In conclusion, radiomics features from pretreatment US may be potential imaging biomarkers for risk stratification in patients with conventional PTC.
患有甲状腺乳头状癌 (PTC) 的患者将从有助于规划个性化治疗和随访的风险分层工具中受益。本研究旨在开发一种基于常规超声 (US) 的放射组学特征，以估计常规 PTC 患者的无病生存 (DFS)。从 2004 年 1 月至 2006 年 2 月期间接受治疗的 768 例常规 PTC 患者的治疗前 US 图像中提取了影像学特征。中位随访时间为 117.3 个月，有 85 例（11.1%）事件。通过 Cox 回归中的最小绝对收缩和选择算子 (LASSO) 方法生成放射组学特征 (Rad-score)。Rad-score 与 DFS 显著相关（风险比 [HR]，3.087；P < 0.001），与临床病理危险因素无关。纳入 Rad-score 的放射组学模型在估计 DFS 方面表现出更好的性能（C 指数：0.777；95%置信区间 [CI]：0.735，0.829），优于临床病理模型（C 指数：0.721；95%CI：0.675，0.780）。总之，预处理 US 的放射组学特征可能是常规 PTC 患者分层风险的潜在影像学生物标志物。
