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For: Su Q, Wang N, Wang B, Wang Y, Dai Z, Zhao X, Li X, Li Q, Yang G, Nie P. Ct-based intratumoral and peritumoral radiomics for predicting prognosis in osteosarcoma: A multicenter study. Eur J Radiol 2024;172:111350. [PMID: 38309216 DOI: 10.1016/j.ejrad.2024.111350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 01/09/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Number Cited by Other Article(s)
1
Salimi M, Houshi S, Gholamrezanezhad A, Vadipour P, Seifi S. Radiomics-based machine learning in prediction of response to neoadjuvant chemotherapy in osteosarcoma: A systematic review and meta-analysis. Clin Imaging 2025;123:110494. [PMID: 40349577 DOI: 10.1016/j.clinimag.2025.110494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2025] [Revised: 05/03/2025] [Accepted: 05/07/2025] [Indexed: 05/14/2025]
2
Leng Y, Zhou J, Liu W, Luo F, Peng F, Gong L. A CT-based radiomics model for predicting progression-free survival in patients with epithelial ovarian cancer. BMC Cancer 2025;25:899. [PMID: 40394512 PMCID: PMC12090431 DOI: 10.1186/s12885-025-14265-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Accepted: 05/05/2025] [Indexed: 05/22/2025]  Open
3
Kocak B, Ponsiglione A, Stanzione A, Ugga L, Klontzas ME, Cannella R, Cuocolo R. CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII. Eur J Radiol 2024;181:111788. [PMID: 39437630 DOI: 10.1016/j.ejrad.2024.111788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 10/07/2024] [Accepted: 10/12/2024] [Indexed: 10/25/2024]
4
Zhou S, Liu Q, Fu Y, Du L, Bao Q, Zhang Z, Xu Z, Yan F, Li M, Liu R, Qin L, Zhang W. CT-derived Radiomics Predicts the Efficacy of Tyrosine Kinase Inhibitors in Osteosarcoma Patients with Pulmonary Metastasis. Transl Oncol 2024;45:101993. [PMID: 38743988 PMCID: PMC11109890 DOI: 10.1016/j.tranon.2024.101993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/02/2024] [Accepted: 05/07/2024] [Indexed: 05/16/2024]  Open
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