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Purpose. To explore the ability of image-based parameters with texture parameters in the differentiation of bone marrow infiltration by positron emission tomography-computed tomography (PET/CT). Procedures. We retrospectively evaluated the baseline PET/CT scan of 44 patients with histologically proven lymphoma. Seventy-three of features were extracted using CGITA software and statistical analysis were carried out on SPSS program. Results. Spearman correlation analysis revealed a strong positive correlation between conventional PET metrics and texture features (19 significant association features) and inverse correlation was found (one parameter significant association feature). Area under the curve and p-value of receive operating characteristics showed that (HILRE (4-bin), HILZE (64-bin), LRE (64-bin), LZE (64-bin), max spectrum (8-bin), busyness (64-bin),code similarity (32-bin & 64-bin)) were significant discriminator of bone marrow infiltration among other features (AUC>0.682, p < 0.05). Univariate analyses of texture features showed that code similarity and LRE (both 64 bin) has significant prediction to BMI. Multivariate analyses revealed that LRE (64 bin) p= 0.031; odds ratio: 1.022; 95% CI, 1.002-1.043) were independent variables for bone marrow infiltration. Conclusions. Significant associations emerged between PET features and bone marrow infiltration in lymphoma. Texture analysis on PET/CT shows potential to differentiate between bone marrow infiltration in patients with Lymphoma.

The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma