Evidence map›Paper›PMID 38649919›Full record

Trial reportBMC musculoskeletal disorders2024

Is AI 3D-printed PSI an accurate option for patients with developmental dysplasia of the hip undergoing THA?

Han Zheng, Eryou Feng, Yao Xiao, Xingyu Liu, Tianyu Lai, Zhibiao Xu, Jingqiao Chen, Shiwei Xie, Feitai Lin, Yiling Zhang

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Han Zheng *Department of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Eryou Feng *Department of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China. fey9001@126.com.
Yao XiaoFuzhou Changle Hospital of Traditional Chinese Medicine, Fuzhou, China.
Xingyu LiuLongwood Valley Medical Technology Co Ltd, Beijing, China.
Tianyu LaiDepartment of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Zhibiao XuDepartment of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Jingqiao ChenDepartment of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Shiwei XieDepartment of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Feitai LinDepartment of Arthrosis Surgery, Fuzhou Second Hospital, Fuzhou, China.
Yiling ZhangLongwood Valley Medical Technology Co Ltd, Beijing, China. ylzhang@changmugu.com.
Fuzhou Second Hospital · CNHangzhou Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn traditional surgical procedures, significant discrepancies are often observed between the pre-planned templated implant sizes and the actual sizes used, particularly in patients with congenital hip dysplasia. These discrepancies arise not only in preoperative planning but also in the precision of implant placement, especially concerning the acetabular component. Our study aims to enhance the accuracy of implant placement during Total Hip Arthroplasty (THA) by integrating AI-enhanced preoperative planning with Patient-Specific Instrumentation (PSI). We also seek to assess the accuracy and clinical outcomes of the AI-PSI (AIPSI) group in comparison to a manual control group.

methodsThis study included 60 patients diagnosed with congenital hip dysplasia, randomly assigned to either the AIPSI or manual group, with 30 patients in each. No significant demographic differences between were noted the two groups. A direct anterior surgical approach was employed. Postoperative assessments included X-rays and CT scans to measure parameters such as the acetabular cup anteversion angle, acetabular cup inclination angle, femoral stem anteversion angle, femoral offset, and leg length discrepancy. Functional scores were recorded at 3 days, 1 week, 4 weeks, and 12 weeks post-surgery. Data analysis was conducted using SPSS version 22.0, with the significance level was set at α = 0.05. RESULTS AND

conclusionThe AIPSI group demonstrated greater prosthesis placement accuracy. With the aid of PSI, AI-planned THA surgery provides surgeons with enhanced precision in prosthesis positioning. This approach potentially offers greater insights and guidelines for managing more complex anatomical variations or cases.

Indexed as

Arthroplasty, Replacement, HipDevelopmental Dysplasia of the HipPrinting, Three-DimensionalAdultArtificial IntelligenceFemaleHip ProsthesisHumansMaleMiddle AgedProsthesis DesignTreatment Outcome3D-PrintArtificially IntelligentDDHPSITHA

Identifiers

PMID38649919
PMCPMC11034034
OpenAlexW4395006870

What OpenQuestion holds

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LicenceCC BY
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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.