This study aimed to determine the computed tomography findings associated with very recent catastrophic 2023 Turkey-Syria earthquake-related injuries and their anatomotopographic distribution in the adult population.

Background: Fat quantification methods in magnetic resonance imaging (MRI) have been studied to differentiate bone marrow pathologies in adult patients; however, scarce literature is available in pediatric patients. Purpose: To evaluate the efficacy of the T1 signal intensity value (T1-SIV), out-of-phase/in-phase signal ratio (OP/IP SR), and fat fraction (FF) to differentiate between normal, benign, and malignant pathological processes. Material and Methods: A total of 48 pediatric patients with lumbar and pelvic MRI were classified into three groups according to bone marrow pathology (group 1, normal; group 2, benign pathology/reconversion; group 3, malignant). The efficacy of T1-SIV, OP/IP SR, and FF values in differentiating these pathologies was evaluated using Kruskal–Wallis or analysis of variance and followed by Bonferroni or Dunn–Bonferroni tests. Cutoff values for malignant infiltration were defined using ROC analysis. Results: Although these values were significantly different in all three groups ( P = 0.001–0.008), this difference was not sufficient to discriminate between all groups. Subgroup analyses showed significant differences in T1-SIV between groups 1–3, in OP/IP SR between groups 1–3, 2–3, and 1–2, in FF between groups 1–2 and 1–3 in various regions ( P = 0.001–0.049). Cutoff values had a sensitivity and specificity of 90%–100% for OP/IP SR and FF. Conclusion: T1-SIV, OP/IP SR, and FF may potentially distinguish normal from pathological bone marrow. OP/IP SR and FF values detected malignant infiltration with high sensitivity and specificity in this study. However, only OP/IP SR may significantly differentiate benign and malignant bone marrow pathologies which needs to be confirmed in the future study with a larger patient population.