Fig. 2 | Scientific Reports

Fig. 2

From: AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myeloma

Fig. 2

Distinct body composition parameters differ between patients with progression-free survival and those with disease progression or death during follow-up. (A) Violin plots comparing BCA parameters between patients with progression-free survival (grey) and those with disease progression or death during follow-up (black), analyzed using the Mann–Whitney U test. (B) Forest plots showing the results of binomial logistic regression assessing the association between progression-free survival and disease progression or death during follow-up, adjusted for age and sex. Odds ratios with 95% confidence intervals are displayed on a logarithmic scale, with significant results (confidence intervals not crossing 1) highlighted by a star.

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