Evidence map›Paper›PMID 37113608›Full record

ArticleFrontiers in medicine2023

Diagnostic value of upper airway morphological data based on CT volume scanning combined with clinical indexes in children with obstructive sleep apnea syndrome.

Yanmin Shi, Meilan Gu, Xin Zhang, Mengmeng Wen, Runhua Li, Yifei Wang, Chen Li, Xianli Wang, Ruiyun Yang, Xinguang Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Yanmin ShiDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Meilan GuDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Xin ZhangDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Mengmeng WenDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Runhua LiDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Yifei WangDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Chen LiDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Xianli WangDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Ruiyun YangDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Xinguang XiaoDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Zhengzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Early diagnosis is important for treatment and prognosis of obstructive sleep apnea (OSA)in children. Polysomnography (PSG) is the gold standard for the diagnosis of OSA. However, due to various reasons, such as inconvenient implementation, less equipped in primary medical institutions, etc., it is less used in children, especially in young children. This study aims to establish a new diagnostic method with imaging data of upper airway and clinical signs and symptoms. Methods: In this retrospective study, clinical and imaging data were collected from children ≤10 years old who underwent nasopharynx CT scan(low-dose protocol)from February 2019 to June 2020,including 25 children with OSA and 105 non-OSA. The information of the upper airway (A-line; N-line; nasal gap; upper airway volume; upper and lower diameter, left and right diameter and cross-sectional area of the narrowest part of the upper airway) were measured in transaxial, coronal, and sagittal images. The diagnosis of OSA and adenoid size were given according to the guidelines and consensus of imaging experts. The information of clinical signs, symptoms, and others were obtained from medical records. According to the weight of each index on OSA, the indexes with statistical significance were screened out, then were scored and summed up. ROC analysis was performed with the sum as the test variable and OSA as the status variable to evaluate the diagnostic efficacy on OSA. Results: The AUC of the summed scores (ANMAH score) of upper airway morphology and clinical index for the diagnosis of OSA was 0.984 (95% CI 0.964-1.000). When sum = 7 was used as the threshold (participants with sum>7 were considered to have OSA), the Youden's index reached its maximum at which point the sensitivity was 88.0%, the specificity was 98.1%, and the accuracy was 96.2%. Conclusion: The morphological data of the upper airway based on CT volume scan images combined with clinical indices have high diagnostic value for OSA in children; CT volume scanning plays a great guiding role in the selection of treatment scheme of OSA. It is a convenient, accurate and informative diagnostic method with a great help to improving prognosis. Highlights: - Early diagnosis of OSA in children is very important for the treatment.- However, the traditional diagnostic gold-standard PSG is difficult to implement.- This study aims to explore convenient and reliable diagnostic methods for children.- A new diagnostic model was established combining CT with signs and symptoms.- The diagnostic method in this study is highly effective, informative, and convenient.

Indexed as

childrenCT volume scandiagnosisOSAupper airway morphology

Identifiers

PMID37113608
PMCPMC10128088
OpenAlexW4327933885

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Registered trials

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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.