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Author

Xiao-Dong Ji

2 papers indexed here

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Open access Sep 2026

Apparent diffusion coefficient histogram parameters of the whole tumor based on whole-body magnetic resonance imaging can better characterize the tumor burden of multiple myeloma and predict survival prognosis

Whole tumor histogram parameters can better characterize the tumor burden of multiple myeloma (MM) patients than those of the focal lesion groups and the Cox regression risk model based on the whole tumor ADC histogram parameters and clinical parameters can predict the survival status.

Hua-Zheng Dong, Qing-Yan Qi, Xiao-Dong Ji et al. · 0 citations
Open access Oct 2026

Multiparametric MRI-based habitat and peritumoral radiomics integrating semi-automated segmentation for preoperative prediction of high-grade prostate cancer: a dual-center study

This study aimed to develop and validate an interpretable machine learning framework that combines semi-automated segmentation, intratumoral habitats derived from multiparametric MRI (mpMRI), and multiscale peritumoral radiomics to predict high-grade prostate cancer (HGPCa) before surgery. This retrospective...

Dan-Ni Hua, Lu-Yang Ma, Xiao-Dong Ji et al. · 0 citations

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