Purpose: To explore whether radiomic features of fluorine-18-fluorodeoxyglucose (18 F-FDG) positron emission tomography-computed tomography (PET/CT) has association with bone marrow infiltration (BMI) in comparison to other conventional PET metrics. Material and methods: Forty-four patients (with pathologically proven lymphoma disease) underwent staging 18 F-FDG PET/CT scan. Primary tumour was semi-automatically or manually segmented with a threshold standardised uptake value (SUV) of 3. A total of 73 features were extracted from eight different textures. Spearman correlation was used to test the correlation of features with conventional quantitative metrics such as SUV, metabolic tumour volume, and total lesion glycolysis. Specificity and sensitivity (including 95% confidence intervals [CI]) for each of the studied parameters were derived using receiver operative characteristic (ROC) curves. Univariate and multivariate analyses were used to identify independent predictors associated with BMI. Results: Correlation between conventional PET metrics and features ranged between 0.50 and 0.97 for positive correlation (33 significant association features) and ranged from-0.52 to-0.97 for inverse correlation (three significant association features) for both strong and moderate correlations. Analysis of ROC curves showed that high-intensity long-run emphasis 4 bin, high-intensity large zone emphasis 64 bin, long-run emphasis (LRE) 64 bin, large-zone emphasis 64 bin, max spectrum 8 bin, busyness 64 bin, and code similarity 32 and 64 bin were significant discriminators of BMI among other features (area under curve > 0.682, p < 0.05). Univariate analyses of texture features showed that code similarity and long-run emphasis (both 64 bin) were significant predictors of bone marrow involvement. Multivariate analyses revealed that LRE (64 bin, p = 0.031) with an odds ratio of 1.022 and 95% CI of (1.002-1.043) were independent variables for bone marrow involvement. Conclusions: 18 F-FDG PET/CT radiomic features are synergistic to visual assessment of BMI in patients diagnosed with lymphoma using 18 F-FDG PET/CT. Further assessment of long-run emphasis is highly warranted.

A novel nano-sized bismuth oxide bioglass doped iron oxide were synthesized through a sol-gel technique showed in graphical abstract. Bioactivity was investigated by in-vitro synthesis involving immersion of the samples in simulated body fluid (SBF) for different time intervals. XRD, FTIR, Fe57 Mössbauer spectroscopy, SEM, EDX and DLS were used to characterization of prepared bioglass. Results showed that Fe ions migrated into the glass matrix much faster than Si ions moved into the samples with iron content, especially with higher iron content. The experiment of co-culturing cells with BG showed that osteoblast-like MC3T3-E1 cells could attach well to the surface of BG, especially which contain iron content. Prepared material has the potential may be suitable for serving as a material to improve osteogenesis or thermoseeds targeted drug delivery of Fe-bioglass implants.

O 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).We retrospectively evaluated the baseline PET/CT scan of 44 patients with histopathological proven lymphoma. Seventy-three of features were extracted using CGITA software and statistical analysis were carried out on SPSS program. Result of 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. The study concludes that a significant association 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.