Creating a Fusion Model Combining Carotid Ultrasound Radiomics and Semantic Analysis for Aortic Dissection Detection: A Retrospective Study Across Two Centers - Summary - MDSpire
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Creating a Fusion Model Combining Carotid Ultrasound Radiomics and Semantic Analysis for Aortic Dissection Detection: A Retrospective Study Across Two Centers
To develop and externally validate a fusion model integrating carotid ultrasound radiomic features with clinical and ultrasound semantic variables for distinguishing aortic dissection (AD) from non-AD participants, emphasizing the importance of early detection in clinical practice.
Key Findings:
AUC for the fusion model was 0.94 in the training set and 0.91 in the external validation set. Include AUC values for the semantic and radiomic models for both sets.
Interpretation:
The fusion model combining carotid ultrasound radiomics and semantic analysis enhances the ability to discriminate AD from non-AD, indicating its potential for clinical application in early detection and prioritizing further diagnostic workup.
Limitations:
Retrospective design may introduce selection bias.
External validation cohort size was limited to 39 participants.
The retrospective design may limit the generalizability of the findings.
Conclusion:
The study demonstrates that integrating carotid ultrasound radiomics with semantic features significantly improves diagnostic performance for aortic dissection, warranting further prospective multicenter studies.
Researchers at Florida International University (FIU), working in collaboration with Baptist Health South Florida, are combining a digital stethoscope with artificial intelligence (AI) and advanced sound analysis to better detect subtle signs of heart disease long before symptoms appear.
