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Three-dimensional image analysis for staging chronic rhinosinusitis.


ABSTRACT: BACKGROUND:Traditional methods of staging chronic rhinosinusitis (CRS) through imaging do not differentiate between degrees of partial mucosal sinus inflammation, thus limiting their utility as imaging biomarkers. We hypothesized that software-aided, quantitative measurement of sinus inflammation would generate a metric of disease burden that would correlate with clinical parameters in patients with suspected sinus disease. METHODS:Adults with rhinologic complaints undergoing computed tomography imaging were recruited at an urban, academic, tertiary care center (n = 45 with Lund-Mackay [LM] scores ?4). Three-dimensional (3D) volumetric image analysis was performed using a semiautomated method to obtain a "Chicago-modified Lund-Mackay" (Chicago MLM) score, which provides a continuous scale to quantify extent of opacification. Linear regression was used to test the association of the Chicago MLM score with concurrent symptoms (Total Nasal Symptom Score [TNSS]) and disease-specific quality of life, based on the Sinonasal Outcome Test-22 (SNOT-22). RESULTS:Chicago MLM scores were significantly associated with both symptoms (p = 0.037) and disease-specific quality of life (p = 0.007). Inflammation in the ethmoid and sphenoid sinuses appeared to influence these associations. These findings were even more robust when analysis was limited to patients with more severe disease (LM >6). CONCLUSION:The quantitative measurement of sinus inflammation by computer-aided 3D analysis correlates modestly with both symptoms and disease-specific quality of life. Posterior sinuses appear to have the greatest impact on these findings, potentially providing an anatomic target for clinicians to base therapy. The Chicago MLM score is a promising imaging biomarker for clinical and research use.

SUBMITTER: Lim S 

PROVIDER: S-EPMC5965263 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Three-dimensional image analysis for staging chronic rhinosinusitis.

Lim Sooyoung S   Ramirez Michael V MV   Garneau Jonathan C JC   Ford Megan K MK   McKeough Katherine K   Ginat Daniel T DT   Baroody Fuad M FM   Armato Samuel G SG   Pinto Jayant M JM  

International forum of allergy & rhinology 20170922 11


<h4>Background</h4>Traditional methods of staging chronic rhinosinusitis (CRS) through imaging do not differentiate between degrees of partial mucosal sinus inflammation, thus limiting their utility as imaging biomarkers. We hypothesized that software-aided, quantitative measurement of sinus inflammation would generate a metric of disease burden that would correlate with clinical parameters in patients with suspected sinus disease.<h4>Methods</h4>Adults with rhinologic complaints undergoing comp  ...[more]

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