Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram
To 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. A retrospective analysis was conducted on 209 osteosarcoma patients admitted into two bone cancer...
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Veröffentlicht in: | Frontiers in oncology 2024-03, Vol.14, p.1345576-1345576 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | To 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.
A 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 |
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ISSN: | 2234-943X 2234-943X |
DOI: | 10.3389/fonc.2024.1345576 |