Development and Validation of ¹⁸F-FDG PET/CT-Based Multivariable Clinical Prediction Models for the Identification of Malignancy-Associated Hemophagocytic Lymphohistiocytosis

OBJECTIVE: F-FDG PET/CT and clinical parameters. MATERIALS AND METHODS: F-FDG PET/CT and laboratory results were collected. The variables were analyzed using the Mann-Whitney U test or Pearson's chi-square test, and a nomogram for predicting M-HLH was constructed using multivariable binary logistic regression. The predictors were also ranked using decision-tree analysis. The nomogram and decision tree were validated in the validation cohort (10 patients with M-HLH and 16 patients with NM-HLH). RESULTS: F-FDG PET/CT images demonstrated 100% (10/10) sensitivity and 12.5% (2/16) specificity. CONCLUSION: F-FDG PET/CT images.