Three-dimensional image analysis for staging chronic rhinosinusitis

Area of Science:

• Medical Imaging
• Otolaryngology
• Biomarkers

Background:

• Traditional imaging for chronic rhinosinusitis (CRS) fails to quantify partial mucosal inflammation.
• This limitation hinders the use of imaging as a reliable biomarker for disease severity.
• A novel quantitative approach is needed to better assess sinus inflammation.

Purpose of the Study:

• To develop and validate a software-aided, quantitative method for measuring sinus inflammation.
• To assess if this quantitative metric correlates with clinical parameters in patients with suspected sinus disease.
• To establish a more precise imaging biomarker for CRS.

Main Methods:

• Adults with CRS symptoms and computed tomography (CT) scans were recruited.
• A semiautomated 3D volumetric image analysis generated a Chicago-modified Lund-Mackay (Chicago MLM) score.
• Linear regression analyzed the association between Chicago MLM scores and symptom/quality-of-life scores (TNSS, SNOT-22).

Main Results:

• The Chicago MLM score showed significant correlation with patient symptoms (p=0.037) and quality of life (p=0.007).
• Inflammation in ethmoid and sphenoid sinuses notably influenced these associations.
• The correlations were stronger in patients with more severe disease (LM >6).

Conclusions:

• Computer-aided 3D analysis of sinus inflammation provides a quantitative measure correlating with symptoms and quality of life.
• Posterior sinuses appear critical, offering potential therapeutic targets.
• The Chicago MLM score is a promising imaging biomarker for both clinical practice and research in CRS.