AI Article Synopsis
- The study aimed to determine if the improved urate analysis (IUA) algorithm can lower false positives in CT scans of gout compared to the current algorithm (CUA).
- Conducted over a year, it involved comparing spectral CT images of suspected gout cases using both algorithms against a reference standard (ultrasound + conventional CT).
- Results showed that IUA significantly improved specificity and accuracy while also reducing image artifacts compared to CUA, although the maximum area of tophi was measured to be greater in CUA images.
Article Abstract
Objectives: To explore whether the improved urate analysis (IUA) algorithm based on spectral parameters can reduce false positives in CT gout images compared with current urate analysis (CUA) algorithm.
Materials And Methods: This prospective study was performed from May 2022 to May 2023. Spectral feet CT images of suspected gout participants were reconstructed by IUA and CUA algorithm. Qualitative diagnosis of IUA and CUA images was recorded and compared with the reference standard (ultrasound + conventional CT). Artifacts on IUA and CUA images of non-gout participants were recorded and compared; the maximum cross-sectional area of the maximum tophi (S) on IUA and CUA images of participants with gout were measured and compared.
Results: There are 65 participants (mean age, 43.9 years ± 13.1 [SD]; 65 men) with 114 feet studies in the gout group, and 33 participants (mean age, 43.4 years ± 15.0 [SD]; 30 men) with 65 feet studies in the non-gout group. For all 179 feet studies, IUA images had higher specificity (19.2-86.6 % vs. 1.3-44.3 %) and accuracy (63.1-88.8 % vs. 41.3-57.0 %) than CUA images (P < 0.001). In the non-gout group, the reduction rates of artifacts from the nail bed, skin, beam hardening, vascular structures, tendons, and total artifacts on the IUA images compared to the CUA images was 40.5 %, 48.9 %, 74.3 %, 99.2 %, 99.6 %, and 80.0 %, respectively (P < 0.001). For 82 feet studies with tophi, S was higher on CUA images than IUA images (P < 0.05).
Conclusion: The improved urate analysis algorithm based on spectral parameters can reduce image artifacts and improve diagnostic efficacy.
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| http://dx.doi.org/10.1016/j.ejrad.2024.111769 | DOI Listing |
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Article Synopsis
- The study aimed to determine if the improved urate analysis (IUA) algorithm can lower false positives in CT scans of gout compared to the current algorithm (CUA).
- Conducted over a year, it involved comparing spectral CT images of suspected gout cases using both algorithms against a reference standard (ultrasound + conventional CT).
- Results showed that IUA significantly improved specificity and accuracy while also reducing image artifacts compared to CUA, although the maximum area of tophi was measured to be greater in CUA images.
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