Computed Tomography-Based Texture Analysis as a Predictor of Survival in Patients with T-Cell Lymphomas
نویسندگان
doi
10.5812/iranjradiol-126595چکیده
Background: T-cell lymphomas constitute a heterogeneous group of hematological malignancies with global poor outcomes. Computed tomography (CT)-based texture analysis (CTTA) is a promising technique to predict the survival of these patients. Objectives: The present study aimed to investigate whether CTTA features on the pretreatment unenhanced CT scans of 18 F-fluorodeoxyglucose positron emission tomography/CT ( 18 F-FDG PET/CT) examination can predict the survival of patients with T-cell lymphomas. Results: A total of 23 patients (7 females and 16 males; median age, 69 years; age range, 33 - 86 years) were included in this study. The CTTA was performed for 60 lesions. The median OS and PFS were 391 days (range, 10 - 3,463 days) and 268 days (range, 10 - 2,321 days), respectively. No CT texture parameter was associated with PFS or PFS24. The standard deviation at a coarse filter scale was independently associated with a poor OS (hazard ratio [HR] = 1.009, confidence interval [CI]: 1.0012 - 1.016, P = 0.02). A value above 143 was associated with a poor prognosis with a specificity of 81%. Conclusion: The pretreatment CTTA-derived tumor standard deviation at a coarse filter scale may be a predictive biomarker of OS in patients with T-cell lymphomas.