CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestations

• Published in: Scientific reports Vol. 12; no. 1; p. 20008
• Main Authors: Jensen, Laura J., Rogasch, Julian M. M., Kim, Damon, Rießelmann, Juliana, Furth, Christian, Amthauer, Holger, Hamm, Bernd, Steffen, Ingo G., Elgeti, Thomas, Nagel, Sebastian N.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 21-11-2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/67/1990; 692/4028; 692/53/2421; 692/53/2423; Computed tomography; Fluorodeoxyglucose F18; Hodgkin Disease - diagnostic imaging; Hodgkin Disease - pathology; Hodgkin's lymphoma; Humanities and Social Sciences; Humans; Lymphoma; Metabolism; multidisciplinary; Positron emission tomography; Positron Emission Tomography Computed Tomography - methods; Radiomics; Reproducibility of Results; Scanners; Science; Science (multidisciplinary); Statistical analysis; Tomography, X-Ray Computed - methods
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-24227-0

18F-FDG-PET/CT is standard to assess response in Hodgkin lymphoma by quantifying metabolic activity with the Deauville score. PET/CT, however, is time-consuming, cost-extensive, linked to high radiation and has a low availability. As an alternative, we investigated radiomics from non-contrast-enhanced computed tomography (NECT) scans. 75 PET/CT examinations of 43 patients on two different scanners were included. Target lesions were classified as Deauville score 4 positive (DS4+) or negative (DS4−) based on their SUVpeak and then segmented in NECT images. From these segmentations, 107 features were extracted with PyRadiomics. All further statistical analyses were then performed scanner-wise: differences between DS4+ and DS4− manifestations were assessed with the Mann–Whitney-U-test and single feature performances with the ROC-analysis. To further verify the reliability of the results, the number of features was reduced using different techniques. The feature median showed a high sensitivity for DS4+ manifestations on both scanners (scanner A: 0.91, scanner B: 0.85). It furthermore was the only feature that remained in both datasets after applying different feature reduction techniques. The feature median from NECT concordantly has a high sensitivity for DS4+ Hodgkin manifestations on two different scanners and thus could provide a surrogate for increased metabolic activity in PET/CT.