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Published in: Insights into Imaging 1/2024

Open Access 01-12-2024 | Chondrosarcoma | Original Article

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

Authors: 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

Published in: Insights into Imaging | Issue 1/2024

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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.

Graphical Abstract

Appendix
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Literature
1.
go back to reference Tong Y, Cui Y, Jiang L, Pi Y, Gong Y, Zhao D (2022) Clinical characteristics, prognostic factor and a novel dynamic prediction model for overall survival of elderly patients with chondrosarcoma: a population-based study. Front Public Health 10:901680. https://doi.org/10.3389/fpubh.2022.901680 Tong Y, Cui Y, Jiang L, Pi Y, Gong Y, Zhao D (2022) Clinical characteristics, prognostic factor and a novel dynamic prediction model for overall survival of elderly patients with chondrosarcoma: a population-based study. Front Public Health 10:901680. https://​doi.​org/​10.​3389/​fpubh.​2022.​901680
5.
go back to reference Björnsson J, McLeod RA, Unni KK, Ilstrup DM, Pritchard DJ (1998) Primary chondrosarcoma of long bones and limb girdles. Cancer 83:2105–2119 Björnsson J, McLeod RA, Unni KK, Ilstrup DM, Pritchard DJ (1998) Primary chondrosarcoma of long bones and limb girdles. Cancer 83:2105–2119
14.
go back to reference Qiu H, Xu M, Wang Y et al (2022) A novel preoperative MRI-based radiomics nomogram outperforms traditional models for prognostic prediction in pancreatic ductal adenocarcinoma. Am J Cancer Res 12:2032–2049PubMedPubMedCentral Qiu H, Xu M, Wang Y et al (2022) A novel preoperative MRI-based radiomics nomogram outperforms traditional models for prognostic prediction in pancreatic ductal adenocarcinoma. Am J Cancer Res 12:2032–2049PubMedPubMedCentral
Metadata
Title
Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter study
Authors
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
Publication date
01-12-2024
Publisher
Springer Vienna
Keyword
Chondrosarcoma
Published in
Insights into Imaging / Issue 1/2024
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-023-01582-8

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