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Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram

Authors :
Lu Zhang
Qiuru Gao
Yincong Dou
Tianming Cheng
Yuwei Xia
Hailiang Li
Song Gao
Source :
Frontiers in Oncology, Vol 14 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

ObjectiveTo evaluate the value of a nomogram combined MRI Diffusion Weighted Imaging (DWI) and clinical features to predict the treatment response of Neoadjuvant Chemotherapy (NAC) in patients with osteosarcoma.MethodsA retrospective analysis was conducted on 209 osteosarcoma patients admitted into two bone cancer treatment centers (133 males, 76females; mean age 16.31 ± 11.42 years) from January 2016 to January 2022. Patients were classified as pathological good responders (pGRs) if postoperative histopathological examination revealed ≥90% tumor necrosis, and non-pGRs if 0.05), but pGRs had a higher ADC 0 (P

Details

Language :
English
ISSN :
2234943X
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.621870a1fa624ba8a052f4e4a61158a9
Document Type :
article
Full Text :
https://doi.org/10.3389/fonc.2024.1345576