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Multimodal MRI quantitative parameters associated with prognosis in non-metastatic primary osteosarcoma patients in retrospective cohort

Multimodal MRI quantitative parameters associated with prognosis in non-metastatic primary osteosarc…
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Key Takeaway
Recognize associations between multimodal MRI parameters and prognosis in non-metastatic primary osteosarcoma patients.

This retrospective cohort study assessed patients with non-metastatic primary osteosarcoma who received treatment at our hospital. The setting was a single institution. The population included 169 good prognosis and 52 poor prognosis patients. The primary outcome involved prognosis assessment based on Response Evaluation Criteria in Solid Tumors at 30-month follow-up.

Researchers analyzed multimodal MRI quantitative parameters, including intramedullary extension measured by T2-weighted imaging, pure diffusion coefficient (D value), pseudo-diffusion coefficient (D* value), apparent diffusion coefficient (ADC value), and contrast agent back-flux rate constant (Kep). All parameters were measured using multimodal MRI. Good prognosis patients showed significantly higher Kep (1.32 ± 0.24 vs 1.21 ± 0.21, P = 0.006) and D value (0.95 ± 0.13 vs 0.84 ± 0.25, P = 0.003).

Additionally, good prognosis patients showed significantly higher D* value (19.78 ± 5.45 vs 17.34 ± 4.34, P = 0.004) and ADC value (1.11 ± 0.17 vs 1.01 ± 0.16, P = 0.006). All measured parameters were higher in the good prognosis group compared to the poor prognosis group.

Adverse events, serious adverse events, discontinuations, and tolerability were not reported in the study. The study did not report limitations, funding, conflicts of interest, or practice relevance. As an observational study, these findings indicate association rather than causation.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
PurposeAccurate prognosis assessment of non-metastatic primary osteosarcoma is essential for treatment decisions. This study aimed to develop and validate a pre-treatment predictive model using multimodal magnetic resonance imaging (MRI) quantitative parameters.MethodsThis retrospective study included patients with non-metastatic primary osteosarcoma who received treatment at our hospital. Patients were divided into good or poor prognosis groups based on Response Evaluation Criteria in Solid Tumors at 30-month follow-up. We analyzed multimodal MRI data of these patients. Evaluated parameters included intramedullary extension measured by T2-weighted imaging, pure diffusion coefficient (D value), pseudo-diffusion coefficient (D* value), and apparent diffusion coefficient (ADC value) from diffusion-weighted imaging, and the contrast agent back-flux rate constant (Kep) from dynamic contrast-enhanced MRI. All these parameters were assessed as pre-treatment.ResultsThe training cohort included 169 good prognosis and 52 poor prognosis patients. Good prognosis patients showed significantly higher Kep (1.32 ± 0.24 vs 1.21 ± 0.21, P = 0.006), D value (0.95 ± 0.13 vs 0.84 ± 0.25, P = 0.003), D* value (19.78 ± 5.45 vs 17.34 ± 4.34, P = 0.004), and ADC value (1.11 ± 0.17 vs 1.01 ± 0.16, P
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