ArticleJournal of imaging informatics in medicine2026
Evaluating the Impact of Habitat Analysis via IVIM and DCE-MRI on Neoadjuvant Chemotherapy Outcomes in Osteosarcoma Patients: A Preliminary Study.
Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Early prediction of chemotherapy efficacy continues to be a significant challenge in osteosarcoma patients. This study aims to investigate the impact of habitat analysis based on Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced magnetic resonance imaging (DCE-MRI) for predicting neoadjuvant chemotherapy (NACT) response in osteosarcoma patients. We prospectively analyzed 71 patients diagnosed with osteosarcoma who underwent pre-treatment IVIM and DCE-MRI. IVIM metrics, including pseudo-diffusion coefficient (ADC_fast), diffusion coefficient (ADC_slow), and fractions of ADC_fast (f_ADC_fast), were evaluated alongside DCE-MRI parameters such as Ktrans, Ve, and Kep. We assessed the predictive value of habitat regions' features from these functional images for NACT outcomes. Model performance was measured using the area under the receiver operating characteristic curve (AUC). Among the data, 39 patients were classified as poor responders and 32 as good responders. Demographic factors, including age, sex, and lesion location, showed no significant differences between groups (P > 0.05). Our findings indicated that an increase in volume in habitat 3, coupled with decreases in f_ADC_fast in habitat 1, ADC_slow in habitat 5, and f_ADC_fast in habitat 5 was valuable indicators for predicting the response of osteosarcoma to NACT. The Habitat Feature-Based IVIM-Bi (HAB-IVIM-Bi) model demonstrated the best performance, as indicated by the Delong test, which yielded all P values < 0.05. It achieved an AUC of 0.797, accuracy of 0.761, sensitivity of 0.719, and specificity of 0.795. Habitat analysis based on multiparametric MRI demonstrates promising potential for non-invasive prediction of NACT response in osteosarcoma. The HAB-IVIM-Bi model may serve as a valuable tool for treatment stratification and personalized therapy planning.
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