Ct-based intratumoral and peritumoral radiomics for predicting prognosis in osteosarcoma: A multicenter study

医学 一致性 无线电技术 队列 骨肉瘤 内科学 回顾性队列研究 总体生存率 肿瘤科 放射科 核医学 病理
作者
Qiushi Su,Ning Wang,Bingyan Wang,Yanmei Wang,Zhengjun Dai,Xia Zhao,Xiaoli Li,Qiyuan Li,Guangjie Yang,Pei Nie
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:172: 111350-111350 被引量:9
标识
DOI:10.1016/j.ejrad.2024.111350
摘要

Abstract

Purpose

To evaluate the performance of CT-based intratumoral, peritumoral and combined radiomics signatures in predicting prognosis in patients with osteosarcoma.

Methods

The data of 202 patients (training cohort:102, testing cohort:100) with osteosarcoma admitted to the two hospitals from August 2008 to February 2022 were retrospectively analyzed. Progression free survival (PFS) and overall survival (OS) were used as the end points. The radiomics features were extracted from CT images, three radiomics signatures(RS intratumoral, RS peritumoral, RS combined)were constructed based on intratumoral, peritumoral and combined radiomics features, respectively, and the radiomics score (Rad-score) were calculated. Kaplan-Meier survival analysis was used to evaluate the relationship between the Rad-score with PFS and OS, the Harrell's concordance index (C-index) was used to evaluate the predictive performance of the radiomics signatures.

Results

Finally, 8, 6, and 21 features were selected for the establishment of RS intratumoral, RS peritumoral, and RS combined, respectively. Kaplan-Meier survival analysis confirmed that the Rad-scores of the three RSs were significantly correlated with the PFS and OS of patients with osteosarcoma. Among the three radiomics signatures, RS combined had better predictive performance, the C-index of PSF prediction was 0.833 in the training cohort and 0.814 in the testing cohort, the C-index of OS prediction was 0.796 in the training cohort and 0.764 in the testing cohort.

Conclusions

CT-based intratumoral, peritumoral and combined radiomics signatures can predict the prognosis of patients with osteosarcoma, which may assist in individualized treatment and improving the prognosis of osteosarcoma patients.
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