Evidence map›Paper›PMID 35599783›Full record

ArticleFrontiers in surgery2022

A Quantitative Method for Intraoperative Evaluation of Distal Fibular Malrotation.

Hui Huang, Zihua Li, Fajiao Xiao, Jiang Xia, Bing Li, Tao Yu, Youguang Zhao, Haichao Zhou, Wenbao He, Zhendong Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Hui HuangDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Zihua LiDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Fajiao XiaoDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiang XiaDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Bing LiDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Tao YuDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Youguang ZhaoDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Haichao ZhouDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Wenbao HeDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhendong LiDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Yunfeng YangDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the low sensitivity of commonly used radiographic parameters for the evaluation of rotational malreduction of the distal fibula under intraoperative fluoroscopy, a quantitative method is needed to make up for this defect. Methods: A total of 96 sets of computed tomography images of normal ankles were imported into MIMICS to reconstruct 3D models. The fibula models were rotated along the longitudinal axis from 30 degrees of external rotation to 30 degrees of internal rotation. Virtual X-ray function in MIMICS was used to obtain radiographic images in mortise view. A line was drawn through the tip of the medial malleolus and parallel to the distal tibial plafond, the distances from the medial edge of the fibula to the lateral malleolar fossa cortex and from the medial edge of the fibula to the lateral edge of the fibula were measured on this line, and the ratio of them was calculated and marked as ratio Results: The mean ratio Conclusions: This is a new method to quantitatively evaluate rotational malreduction of the distal fibula during operation. The ratio

Indexed as

ankle fracturesdistal fibulaintraoperative fluoroscopyrotational malreductionthree-dimensional reconstruction

Identifiers

PMID35599783
PMCPMC9114432

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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.