Evidence map›Paper›PMID 42488283›Full record

ArticleCureus2026

Impact of Ostiomeatal Complex Anatomical Variants on Histological Remodeling and Radiological Severity: A Retrospective Cross-Sectional Study.

Mohammed A Mohammed

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In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Mohammed A MohammedHuman Anatomy, Hammurabi College of Medicine, University of Babylon, Babylon, IRQ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The anatomical integrity of the ostiomeatal complex (OMC) is critical in the pathophysiology of chronic rhinosinusitis (CRS). While individual structural deformities are known to impede sinus drainage, the cumulative "dose-response" impact of concurrent OMC variants on microscopic mucosal remodeling remains under-investigated. Objective To quantitatively map the correlation between specific OMC anatomical variants - nasal septal deviation (NSD), concha bullosa (CB), and agger nasi (AN) cells - and the severity of histological tissue remodeling and radiological opacification. Methods This retrospective cross-sectional study evaluated archived medical, radiological, and histopathological records of 80 adult patients (January 2024 to February 2026). The cohort comprised an experimental group (n=60) with CT-confirmed OMC variants and a normal control group (n=20). To isolate anatomical effects, patients with a history of severe atopy or heavy smoking were excluded. Data extracted included the Lund-Mackay score, subepithelial basement membrane (SBM) thickness, eosinophil count/high-power field (HPF), and goblet cell density/HPF. Statistical evaluation utilized one-way analysis of variance (ANOVA) to determine the dose-response effect of single versus multiple anatomical variants. Results All individual OMC variants significantly exacerbated pathological markers compared to controls (p<0.001). A highly significant linear dose-response relationship (p for trend <0.001) demonstrated that mucosal degradation worsened with increasing structural complexity. In the triple variant group (n=24), where NSD, CB, and AN coexisted, radiological and histopathological severity peaked significantly compared to controls (n=20): the Lund-Mackay score advanced to 14.6 ± 2.5 (vs. 3.6 ± 1.1), SBM thickness increased to 15.3 ± 1.8 μm (vs. 10.1 ± 1.0 μm), mucosal eosinophil influx escalated to 9.8 ± 2.2 cells/HPF (vs. 2.4 ± 0.8 cells/HPF), and goblet cell density expanded to 34.2 ± 5.0 cells/HPF (vs. 21.3 ± 3.4 cells/HPF). Transitioning from a single variant (n=19) to the full triad significantly accelerated tissue fibrosis and inflammatory infiltration (p<0.01). Conclusions Anatomical complexity within the OMC acts as a direct, cumulative driver of chronic sinus pathology and severe mucosal remodeling. The linear escalation of tissue degradation highlights the clinical necessity of early surgical or medical intervention in patients presenting with multiple concurrent variants to prevent irreversible structural damage.

Indexed as

anatomical variationschronic rhinosinusitiscomputed tomographyconcha bullosaeosinophilic inflammationfunctional endoscopic sinus surgerylund-mackay scoremucosal remodelingostiomeatal complexsubepithelial basement membrane

Identifiers

PMID42488283
PMCPMC13390763

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.