Evidence map›Paper›PMID 23630655›Full record

ArticleQuantitative imaging in medicine and surgery2013

Incidental detection of sinus mucosal abnormalities on CT and MRI imaging of the head.

Mohammad Nazri, Shaik Ismail Bux, Tengku Feisal Tengku-Kamalden, Kwan-Hoong Ng, Zhonghua Sun

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Observational
  2. Changes in Incidental Paranasal Sinus Abnormalities During the COVID-19 Era: A 5-Year MRI-Based Study.Journal of rhinology : official journal of the Korean Rhinologic Society · 2025
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  7. Assessment of factors influencing the olfactory bulb volume in patients with post-viral olfactory dysfunction.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
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  15. Three-dimensional image analysis for staging chronic rhinosinusitis.International forum of allergy & rhinology · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Mohammad NazriUniversity of Malaya Research and Imaging Centre (UMRIC), University of Malaya, 50603 Kuala Lumpur, Malaysia; ; Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, 50603, Malaysia;
Shaik Ismail Bux
Tengku Feisal Tengku-Kamalden
Kwan-Hoong Ng
Zhonghua Sun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prevalence of incidental sinus abnormalities on CT and MRI imaging of the head, and identify if there is any correlation between patient symptomatology and image findings. MATERIALS AND

methodsOne hundred and fifteen patients who underwent head CT or MRI for 
non-sinus related indications were included in this study, with image findings being analysed based on the Lund-Mackay Grading System (LMS). These were compared with their symptomatology based on the SNAQ-11 questionnaire. Two reviewers who were blinded to the patients' SNAQ-11 scores analysed the images. Patients were also referred to an ENT surgeon for anterior rhinoscopy in an attempt to seek a correlation between symptomatology and/or imaging findings against clinical assessment.

resultsThe prevalence of incidental sinus abnormalities is between 14.8% and 37% for CT and 29.5% and 85.2% for MRI, depending upon the cutoff LMS used. There was no significant difference in the incidence rate between the different age groups or genders. Asymptomatic patients had a significantly lower incidence rate of sinus mucosal abnormalities (8.2-57.1%) when compared to the symptomatic patients (33.3-66.7%) (P<0.01). A significant correlation was found between the MRI sinus findings and patients' symptoms (r=0.59, P<0.001) with no correlation demonstrated in the CT group. The mean LM score for the patients with clinical sinusitis was 6.2, while the normal patients had a mean LM score of 2.2.

conclusionsMRI is more sensitive than CT to detect sinus mucosal abnormalities. A significant correlation is noticed between MRI findings and patients' symptomatology.

Indexed as

Computed tomographyincidental findingsmagnetic resonance imagingmucosal abnormalitiessinus

Identifiers

PMID23630655
PMCPMC3636478

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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.