ArticleInternational forum of allergy & rhinology2017
Three-dimensional image analysis for staging chronic rhinosinusitis.
Article in International forum of allergy & rhinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Clinical and Cost-Effectiveness of Omalizumab in Concomitant Asthma and Chronic Rhinosinusitis with Nasal Polyps: A Real-World Exploratory Study.Journal of asthma and allergy · 2026Article
- Explainable hybrid CNN-transformer with self-supervised learning for structural analysis of paranasal sinus CT.Frontiers in computational neuroscience · 2026Article
- Comparison of segmentation performance of cnns, vision transformers, and hybrid networks for paranasal sinuses with sinusitis on CT images.Scientific reports · 2025Article
- Paranasal sinus occupancy assessed from magnetic resonance images-associations with clinical indicators in patients with systemic lupus erythematosus.Rheumatology (Oxford, England) · 2024Article
- Semi-Supervised Deep Learning Semantic Segmentation for 3D Volumetric Computed Tomographic Scoring of Chronic Rhinosinusitis: Clinical Correlations and Comparison with Lund-Mackay Scoring.Tomography (Ann Arbor, Mich.) · 2022Article
- Impairment mechanism of nasal mucosa after radiotherapy for nasopharyngeal carcinoma.Frontiers in oncology · 2022Review
- The Sinonasal Outcome Test-22 or European Position Paper: Which Is More Indicative of Imaging Results?Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2021Observational
- Automated classification of osteomeatal complex inflammation on computed tomography using convolutional neural networks.International forum of allergy & rhinology · 2019Article
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9 authors.
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Abstract
backgroundTraditional 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.
methodsAdults 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).
resultsChicago 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).
conclusionThe 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.
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