Evidence map›Paper›PMID 39730567›Full record

ArticleScientific reports2024

A dual dimensional optimization strategy for automatic osteotomy preoperative planning in congenital radioulnar synostosis.

Ying Cui, Tianfeng Zhou, Yubing Guo, Xinhua Zhou, Lu Liu, Shanlin Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 authors.

Ying CuiSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
Tianfeng ZhouSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
Yubing GuoSchool of Medical Technology, Beijing Institute of Technology, Beijing, China.
Xinhua ZhouDepartment of Orthopedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Lu LiuDepartment of Hand Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China. drll410@163.com.
Shanlin ChenDepartment of Hand Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China. drcsl@qq.com.

Funding

Beijing Municipal Health Commission BJRITO-RDP-2024Beijing Natural Science Foundation L192052
6 · The paper itself

Abstract

Congenital radioulnar synostosis (CRUS) presents a complex forearm deformity, requiring precise osteotomy planning for anatomical restoration. This study proposes an automatic osteotomy preoperative planning method for forearms with CRUS. Proximal forearm bones are first aligned with the template forearm and then a dual dimensional optimization (DDO) strategy is used to optimize the spatial transformation parameters of the distal fragment. The subsequent optimization aims to maximize the overlap of cross-sections between proximal and distal fragments. Rotational simulations are ultimately conducted to predict postoperative forearm rotational functionality. The DDO strategy effectively restores ideal forearm morphology, with maximum deviations of 1.66 and 2.13 mm for the ulna and radius, respectively. On the coronal, sagittal and transverse planes, the deformity angles of the radius were reduced to 1.35°, 1.39°, 4.83°, respectively, while those of the ulna were reduced to 1.20°, 1.03°, and 8.56°, respectively. Rotation function analysis reveals a noticeable improvement in achievable rotation range compared to plans by senior surgeons. Automated mobilization osteotomy planning, using the DDO strategy, shows potential for individualized CRUS corrective surgery, offering comprehensive and precise preoperative guidance.

Indexed as

OsteotomyRadiusSynostosisUlnaFemaleForearmHumansMalePreoperative CareCongenital radio-ulnar synostosis (CRUS)Dual dimensional optimizationOsteotomyPreoperative planning

Identifiers

PMID39730567
PMCPMC11681227

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LicenceCC BY-NC-ND
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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.