Morphological Sinus Features and Chronic Rhinosinusitis Risk: A Radiomics Study
Song Luo1,2, Xiang-Hai Hu1, Min Yin1
1Department of Otorhinolaryngology The First Affiliated Hospital with Nanjing Medical University Nanjing China.
Summary
Sinus anatomical features like volume and shape are linked to chronic rhinosinusitis (CRS) risk. These findings can help assess CRS development and guide clinical management strategies.
Area of Science:
- Otolaryngology
- Medical Imaging
- Artificial Intelligence
Background:
- Anatomical variations in paranasal sinuses are implicated in chronic rhinosinusitis (CRS) development.
- Understanding these morphological differences is crucial for effective clinical management and risk assessment.
Purpose of the Study:
- To investigate the correlation between sinus morphological features and the risk of CRS onset.
- To develop predictive models for CRS risk based on sinus anatomy.
Main Methods:
- A multicenter study involving 716 CRS patients and 115 controls.
- Automated sinus segmentation using the deep learning model nnU-Net v2.
- Morphological feature extraction via PyRadiomics and risk prediction using logistic regression, random forest, and MLP models.
Main Results:
- CRS patients showed larger sinus volumes, surface areas, and diameters, with lower sphericity compared to healthy individuals.
- A CRS risk prediction model using 20 indicators achieved AUCs of 0.884-0.890.
- No significant morphological differences were found between eosinophilic CRS (eCRS) and non-eosinophilic CRS (NeCRS) subtypes.
Conclusions:
- Specific sinus morphological features are significant indicators for assessing CRS risk.
- The identified features can aid in predicting the likelihood of developing chronic rhinosinusitis.
- Sinus morphology does not differentiate between eCRS and NeCRS, suggesting other factors are involved in subtype development.
