CNN-based detection of pediatric lymphoma on whole body [18F]FDG-PET/MRI
Abstract
F]FDG-PET/MRI scans from 53 pediatric lymphoma patients and tested on 30 additional scans. The CNN and two human readers recorded the presence of lesions in five anatomical regions. An additional pediatric radiologist and a nuclear medicine physician determined the reference standard. The sensitivity and specificity of the CNN were compared with those of human readers using the McNemar test, and the detection time of the CNN and human readers was compared using the Wilcoxon signed-rank test. The CNN demonstrated higher sensitivity (84.6%) and specificity (93.7%) than the radiology resident (69.2%, P=0.023; 81.5%, P
Fields of Study & Subjects
Radiomics and Machine Learning in Medical Imaging
AI in cancer detection
Artificial Intelligence in Healthcare and Education
Publication details
- Journal / source
- American Journal of Nuclear Medicine and Molecular Imaging
- Volume
- 16
- Issue
- 1
- Pages
- 55–62
- Publication date
- 1 January 2026
- Language
- EN