Evidence map›Paper›PMID 34579510›Full record

ArticleTurkish journal of medical sciences2022

Could computed tomography histogram analysis add value to the diagnosis of cholesteatoma?

Nursel Yurttutan, Nagihan Bilal, Betül Kızıldağ, Adem Doğaner

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2022. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nursel YurttutanDepartment of Radiology, Faculty of Medicine, Kahramanmaraş Sütçü İmam University Kahramanmaraş, Turkey.
Nagihan BilalDepartment of Otorhinolaryngology, Faculty of Medicine, Kahramanmaraş Sütçü İmam University Kahramanmaraş, Turkey.
Betül KızıldağDepartment of Radiology, Faculty of Medicine, Kahramanmaraş Sütçü İmam University Kahramanmaraş, Turkey.
Adem DoğanerDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Kahramanmaraş Sütçü İmam University Kahramanmaraş, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the potential role of computed tomography (CT) histogram analysis in differentiating cholesteatoma (CHS) and non-cholesteatoma (NCHS).

methodsWe evaluated 77 temporal bone CT images (from November 2016 to February 2020) that were obtained preoperatively (mean age, 37.10±17.27 years in CHS; 36.72±16.08 years in NCHS group). Histogram analyses of the resulting XML files were conducted using the R Project 3.3.2 program. ROC analysis was used to find threshold values, and the diagnostic efficiency of these values in differentiating CHS-NCHS was determined.

resultsThe CT images of 41 CHS (53.25%) and 36 NHCS cases (46.75%) were evaluated. There was a statistically significant difference between the CHS and NCHS group in terms of the mean, maximum, and median values (p = 0.036, p = 0.006, p = 0.043). When examining the ROC curve obtained from the mean of these parameters, area under the curve (AUC) is determined as 0.638, and when the threshold value is selected as 42.55, the mean value was determined to have a sensitivity of 86.50% and specificity of 56.10% in differentiating CHS-NCHS.

Indexed as

CholesteatomaTomography, X-Ray ComputedAdultArea Under CurveDiffusion Magnetic Resonance ImagingHumansMiddle AgedRetrospective StudiesROC CurveTemporal BoneYoung Adultcholesteatomacomputed tomographyHistogram analysistemporal bone

Identifiers

PMID34579510
PMCPMC10734835

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