1. Radiomics on radiography predicts giant cell tumor histologic response to denosumab
- Author
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Darcy A. Kerr, Radka Stoyanova, Juan Pretell-Mazzini, Breelyn A. Wilky, Ty K. Subhawong, Sofia Danilova, and Yu Cherng Chang
- Subjects
030203 arthritis & rheumatology ,medicine.medical_specialty ,business.industry ,Radiography ,Histological response ,medicine.disease ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Denosumab ,Radiomics ,Giant cell ,Orthopedic surgery ,medicine ,Radiology, Nuclear Medicine and imaging ,Radiology ,Giant Cell Tumors ,business ,Giant-cell tumor of bone ,medicine.drug - Abstract
Denosumab is an established targeted systemic therapy for treatment of giant cell tumor of bone (GCTB). We sought to determine whether treatment response could be quantified from radiomics analysis of radiographs taken longitudinally during treatment. Pre- and post-treatment radiographs of 10 GCTB tumors from 10 patients demonstrating histologic response after treatment with denosumab were analyzed. Intensity- and texture-based radiomics features for each manually segmented tumor were calculated. Radiomics features were compared pre- and post-treatment in tumors. Mean intensity (p = 0.033) significantly increased while skewness (p = 0.028) significantly decreased after treatment. Post-treatment increases in fractal dimensions (p = 0.057) and abundance (p = 0.065) approached significance. A potential linear correlation in mean (p = 0.005; ΔMean = 0.022 * duration − 0.026) with treatment duration was observed. Radiomics analysis of plain radiographs quantifies time-dependent matrix mineralization and trabecular reconstitution that mark positive response of giant cell tumors of bone to denosumab.
- Published
- 2021
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