CT radiomics with transfer learning features for detecting DECT−positive periarticular monosodium urate crystal deposition: a single−center retrospective study - Summary - MDSpire
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CT radiomics with transfer learning features for detecting DECT−positive periarticular monosodium urate crystal deposition: a single−center retrospective study
To develop and validate single−energy CT (135 kVp)−based radiomics and deep learning models for the non−invasive detection of periarticular monosodium urate (MSU) crystal deposition.
Approach:
Feature Extraction: Hand-crafted radiomics features were extracted from lesion ROIs and selected using t-test, Pearson correlation, LASSO, and mRMR. Deep features were derived from the maximum cross-sectional ROI using a ResNet50 transfer learning framework, and fused features underwent the same selection.
Key Findings:
Serum uric acid (OR 1.003), age (OR 1.017), bone erosion (OR 3.476), and CT value (OR 0.993) were independently associated with MSU deposition (all P < 0.05).
AUCs for the validation cohort were 0.820 (clinical), 0.912 (radiomics), 0.940 (DLR), and 0.942 (combined).
The combined model achieved accuracy 0.889, sensitivity 0.905, and specificity 0.837.
DLR and combined models significantly outperformed the clinical model (DeLong P < 0.05), with no significant difference between them.
Interpretation:
The single-energy CT-based radiomics and deep learning radiomics models showed comparable performance for identifying periarticular MSU deposition, with no statistically significant difference.
Limitations:
The reference standard was DECT-positive deposits, not the gold standard of MSU crystal detection in synovial fluid.
DECT's limited sensitivity for non−tophaceous lesions may affect results.
Conclusion:
The combined clinical−imaging model achieved numerically higher performance but did not significantly outperform the deep learning radiomics model.
In a nationwide Finnish cohort, patients with atrial fibrillation and gout had higher ischemic stroke rates, while urate-lowering therapy was associated with lower stroke rates.
