Evidence map›Paper›PMID 37900333›Full record

ArticleSisli Etfal Hastanesi tip bulteni2023

The Cochlear Size Variations in Incomplete Partitions with Multiplanar Images on Pediatric Temporal Bone CT.

Direnc Ozlem Aksoy, Emine Meltem, Yesim Karagoz, Melis Baykara Ulusan, Ozdes Mahmutoglu, Abdullah Soydan Mahmutoglu

Open access · bronzeAbstract read
In one paragraph

Article in Sisli Etfal Hastanesi tip bulteni, 2023. 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

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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 3 countries.

Direnc Ozlem AksoyDepartment of Radiology, University of Health Sciences Türkiye, Istanbul Training and Research Hospital, Istanbul, Türkiye.
Emine MeltemDepartment of Radiology, University of Health Sciences Türkiye, Istanbul Training and Research Hospital, Istanbul, Türkiye.
Yesim KaragozDepartment of Radiology, University of Health Sciences Türkiye, Istanbul Training and Research Hospital, Istanbul, Türkiye.
Melis Baykara UlusanDepartment of Radiology, University of Health Sciences Türkiye, Istanbul Training and Research Hospital, Istanbul, Türkiye.
Ozdes MahmutogluDepartment of Radiology, University of Health Sciences Türkiye, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Türkiye.
Abdullah Soydan MahmutogluDepartment of Radiology, University of Health Sciences Türkiye, Istanbul Training and Research Hospital, Istanbul, Türkiye.
University of Health Science · KH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of the study was to evaluate cochlea dimensions by the multiplanar reconstruction of high-resolution computed tomography that could be useful in diagnosing incomplete partition (IP) malformations. Methods: This study included 32 patients with 64 side cochleae diagnosed with IP defect and 38 cochleae as the control without any defect. Basal turn length (BL), cochlear height (CH), Mid-apical length (MAL), Mid-apical height, Cochlear length (A), and Cochlear width (B) were measured on reformat images. Results: Twenty cochleae of these patients have been diagnosed with IP type I, 34 with IP type II, and 10 with IP type III. The MAL values are shorter than the control group in IP types I and III (p<0.001, p<0.001). BL values are shorter in IP type III cases (p<0.001). In IP II cases, BL and MAL values overlapped with the control group. CH did not differ significantly from the control group in any IP type. A and B values were significantly lower than the control group for IP I and III (p<0.01). There is a positive correlation between A and B values for all IP types (p<0.01). Conclusion: Quantitative data about differences in the size and shape of the cochlea in IP cases would help differentiate them from the normal cochlea. Since A and B values showed a positive correlation, it is suggested that A and B values can be used to estimate CDL for IP types.

Indexed as

Cochleacochlear measurementsincomplete partitiontemporal CT

Identifiers

PMID37900333
PMCPMC10600602
OpenAlexW4387194837

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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.