Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter study

Qiyuan Li; Ning Wang; Yanmei Wang; Xiaoli Li; Qiushi Su; Jing Zhang; Xia Zhao; Zhengjun Dai; Yao Wang; Li Sun; Xuxiao Xing; Guangjie Yang; Chuanping Gao; Pei Nie

doi:10.1186/s13244-023-01582-8

Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter study

Insights Imaging. 2024 Jan 17;15(1):9. doi: 10.1186/s13244-023-01582-8.

Authors

Qiyuan Li¹, Ning Wang², Yanmei Wang³, Xiaoli Li¹, Qiushi Su¹, Jing Zhang¹, Xia Zhao⁴, Zhengjun Dai⁵, Yao Wang¹, Li Sun¹, Xuxiao Xing⁶, Guangjie Yang⁷, Chuanping Gao⁸, Pei Nie⁹

Affiliations

¹ Department of Radiology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266003, Shandong, China.
² Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
³ GE Healthcare China, Pudong New Town, Shanghai, China.
⁴ Department of Radiology, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
⁵ Scientific Research Department, Huiying Medical Technology Co., Ltd, Beijing, China.
⁶ Department of Radiology, The First Hospital of Xingtai, No. 376, Shunde Road, Xingtai, Hebei, China.
⁷ Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, No. 59, Haier Road, Qingdao, 266061, Shandong, China. ygj_2815@qdu.edu.cn.
⁸ Department of Radiology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266003, Shandong, China. gaochuanping@qdu.edu.cn.
⁹ Department of Radiology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266003, Shandong, China. niepei@qdu.edu.cn.

Abstract

Objective: To evaluate the efficacy of the CT-based intratumoral, peritumoral, and combined radiomics signatures in predicting progression-free survival (PFS) of patients with chondrosarcoma (CS).

Methods: In this study, patients diagnosed with CS between January 2009 and January 2022 were retrospectively screened, and 214 patients with CS from two centers were respectively enrolled into the training cohorts (institution 1, n = 113) and test cohorts (institution 2, n = 101). The intratumoral and peritumoral radiomics features were extracted from CT images. The intratumoral, peritumoral, and combined radiomics signatures were constructed respectively, and their radiomics scores (Rad-score) were calculated. The performance of intratumoral, peritumoral, and combined radiomics signatures in PFS prediction in patients with CS was evaluated by C-index, time-dependent area under the receiver operating characteristics curve (time-AUC), and time-dependent C-index (time C-index).

Results: Eleven, 7, and 16 features were used to construct the intratumoral, peritumoral, and combined radiomics signatures, respectively. The combined radiomics signature showed the best prediction ability in the training cohort (C-index, 0.835; 95%; confidence interval [CI], 0.764-0.905) and the test cohort (C-index, 0.800; 95% CI, 0.681-0.920). Time-AUC and time C-index showed that the combined signature outperformed the intratumoral and peritumoral radiomics signatures in the prediction of PFS.

Conclusion: The CT-based combined signature incorporating intratumoral and peritumoral radiomics features can predict PFS in patients with CS, which might assist clinicians in selecting individualized surveillance and treatment plans for CS patients.

Critical relevance statement: Develop and validate CT-based intratumoral, peritumoral, and combined radiomics signatures to evaluate the efficacy in predicting prognosis of patients with CS.

Key points: • Reliable prognostic models for preoperative chondrosarcoma are lacking. • Combined radiomics signature incorporating intratumoral and peritumoral features can predict progression-free survival in patients with chondrosarcoma. • Combined radiomics signature may facilitate individualized stratification and management of patients with chondrosarcoma.

Keywords: Chondrosarcoma; Prognosis; Radiomics; Tomography (X-ray computed).