Purpose: To investigate the clinical value of radiomic analysis on [F]FDG and [F]FLT PET on the differentiation of [F]FDG-avid benign and malignant pulmonary nodules (PNs).
Methods: Data of 113 patients with inconclusive PNs based on preoperative [F]FDG PET/CT who underwent additional [F]FLT PET/CT scans within a week were retrospectively analyzed in the present study. Three methods of analysis including visual analysis, radiomic analysis based on [F]FDG PET/CT images alone, and radiomic analysis based on dual-tracer PET/CT images were evaluated for differential diagnostic value of benign and malignant PNs.
Results: A total of 678 radiomic features were extracted from volumes of interest (VOIs) of 123 PNs. Fourteen valuable features were thereafter selected. Based on a visual analysis of [F]FDG PET/CT images, the diagnostic accuracy, sensitivity, and specificity were 61.6%, 90%, and 28.8%, respectively. For the test set, the area under the curve (AUC), sensitivity, and specificity of the radiomic models based on [F]FDG PET/CT plus [F]FLT signature were equal or better than radiomics based on [F]FDG PET/CT only (0.838 vs 0.810, 0.778 vs 0.778, 0.750 vs 0.688, respectively).
Conclusion: Radiomic analysis based on dual-tracer PET/CT images is clinically promising and feasible for the differentiation between benign and malignant PNs.
Clinical Relevance Statement: Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [F]FDG and [F]FLT PET/CT.
Key Points: • Radiomics brings new insights into the differentiation of benign and malignant pulmonary nodules beyond the naked eyes. • Dual-tracer imaging shows the biological behaviors of cancerous cells from different aspects. • Radiomics helps us get to the histological view in a non-invasive approach.
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| http://dx.doi.org/10.1186/s13244-023-01530-6 | DOI Listing |
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