Kenawy, M., Khalil, M., Abdelgawad, M., El-Bahnasawy, H. (2020). The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma. Egyptian Journal of Biomedical Engineering and Biophysics, 21(1), 43-55. doi: 10.21608/ejbbe.2020.42006.1038
Mahmoud A. Kenawy; Magdy Khalil; Mahmoud H. Abdelgawad; H. H. El-Bahnasawy. "The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma". Egyptian Journal of Biomedical Engineering and Biophysics, 21, 1, 2020, 43-55. doi: 10.21608/ejbbe.2020.42006.1038
Kenawy, M., Khalil, M., Abdelgawad, M., El-Bahnasawy, H. (2020). 'The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma', Egyptian Journal of Biomedical Engineering and Biophysics, 21(1), pp. 43-55. doi: 10.21608/ejbbe.2020.42006.1038
Kenawy, M., Khalil, M., Abdelgawad, M., El-Bahnasawy, H. The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma. Egyptian Journal of Biomedical Engineering and Biophysics, 2020; 21(1): 43-55. doi: 10.21608/ejbbe.2020.42006.1038
The Role of Texture Analysis and Radiomics in Prediction of Bone Marrow Infiltration in Patients with Lymphoma
2Department of Physics, Faculty of Science, Helwan University, Ain Helwan 11795, Cairo, Egypt
3Al-Azhar university, faculty of science, physics department, biophysics branch
4Department of Physics, Faculty of Science, Azhar University, Nasr City 11884, Cairo, Egypt.
Abstract
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.
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