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. 2025 Dec 1;110(12):3104-3108.
doi: 10.3324/haematol.2025.287563. Epub 2025 Jun 19.

Radiopsy: a prospective observational study on quantitative multiparametric whole-body magnetic resonance imaging to discriminate between smoldering and multiple myeloma

Giacomo Feliciani  1 , Emiliano Loi  1 , Elena Amadori  2 , Eleonora Antognoni  3 , Andrea Prochowski Iamurri  2 , Danila Diano  2 , Daniele Bruno  1 , Arrigo Cattabriga  4 , Paola Caroli  5 , Matteo Marchesini  6 , Davide Bezzi  7 , Delia Cangini  8 , Federica Matteucci  9 , Domenico Barone  2 , Davide Nappi  8 , Gerardo Musuraca  8 , Michela Ceccolini  8 , Sonia Ronconi  8 , Irene Azzali  10 , Giovanni Martinelli  11 , Lorenzo Stefano Maffioli  12 , Nicola Normanno  13 , Anna Sarnelli  1 , Alice Rossi  14 , Claudio Cerchione  15
Affiliations

Radiopsy: a prospective observational study on quantitative multiparametric whole-body magnetic resonance imaging to discriminate between smoldering and multiple myeloma

Giacomo Feliciani et al. Haematologica. .
No abstract available

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Figures

Figure 1.
Figure 1.
Correlation between mean intensity of the apparent diffusion coefficient and relative fat fraction and relevant laboratory biomarkers. (A) Pearson ρ correlation matrix with P values. (B, C) Scatterplots with trendlines between bone marrow plasma cell infiltration percentage and relative fat fraction (B) or apparent diffusion coefficient (C). SMM: smoldering multiple myeloma; BMPC: bone marrow plasma cells; ADC: apparent diffusion coefficient; FF: fat fraction; HB: hemoglobin.
Figure 2.
Figure 2.
Receiver operating characteristic curves for logistic regression models trained and tested on three different biological and imaging features. Each plot displays the median receiver operating characteristic curves for the training (blue) and test (green) datasets, with shaded areas representing confidence intervals. Median area under the curve values are indicated in the legend of each panel. (A) Performance of the model trained using imaging biomarkers extracted from radiopsy data. (B) Performance of the model based on the percentage of bone marrow plasma cells. (C) Performance of the model trained on the mean relative fat fraction values. ROC: receiver operating characteristic curve; AUC: area under the curve; BMPC: bone marrow plasma cells; rFF: relative fat fraction.
See this image and copyright information in PMC

References

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