Evidence map›Paper›PMID 33335486›Full record

ArticleFrontiers in physiology2020

Computer-Aided System Application Value for Assessing Hip Development.

Yaoxian Jiang, Guangyao Yang, Yuan Liang, Qin Shi, Boqi Cui, Xiaodan Chang, Zhaowen Qiu, Xudong Zhao

Abstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yaoxian JiangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Guangyao YangCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Yuan LiangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Qin ShiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Boqi CuiDepartment of Clinical Medicine, Zhongshan Clinical College of Dalian University, Dalian, China.
Xiaodan ChangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Zhaowen QiuCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Xudong ZhaoCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA computer-aided system was used to semiautomatically measure Tönnis angle, Sharp angle, and center-edge (CE) angle using contours of the hip bones to establish an auxiliary measurement model for developmental screening or diagnosis of hip joint disorders.

methodsWe retrospectively analyzed bilateral hip x-rays for 124 patients (41 men and 83 women aged 20-70 years) who presented at the Affiliated Zhongshan Hospital of Dalian University in 2017 and 2018. All images were imported into a computer-aided detection system. After manually outlining hip bone contours, Tönnis angle, Sharp angle, and CE angle marker lines were automatically extracted, and the angles were measured and recorded. An imaging physician also manually measured all angles and recorded hip development, and Pearson correlation coefficients were used to compare computer-aided system measurements with imaging physician measurements. Accuracy for different angles was calculated, and the area under the receiver operating characteristic (AUROC) curve was used to represent the diagnostic efficiency of the computer-aided system.

resultsFor Tönnis angle, Sharp angle, and CE angle, correlation coefficients were 0.902, 0.887, and 0.902, respectively; the accuracies of the computer-aided detection system were 89.1, 93.1, and 82.3%; and the AUROC curve values were 0.940, 0.956, and 0.948.

conclusionThe measurements of Tönnis angle, Sharp angle, and CE angle using the semiautomatic system were highly correlated with the measurements of the imaging physician and can be used to assess hip joint development with high accuracy and diagnostic efficiency.

Indexed as

acetabular dysplasiacomputer-aided detectioncomputer-aided diagnosiship dysplasiax-ray

Identifiers

PMID33335486
PMCPMC7736091

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