Evidence map›Paper›PMID 40836303›Full record

ArticleJournal of orthopaedic surgery and research2025

AI-assisted 3D versus conventional 2D preoperative planning in total hip arthroplasty for Crowe type II-IV high hip dislocation: a two-year retrospective study.

Zhenbao Lu, Cuihua Yuan, Qingshan Xu, Yuhua Feng, Qiujin Xia, Xiaolu Wang, Jianfu Zhu, Jinqing Wu, Tihui Wang, Jiliang Chen and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  12. [Advances in application of digital orthopedic technology in total hip arthroplasty for developmental dysplasia of hip].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
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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

12 authors.

Zhenbao Lu *Department of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Cuihua Yuan *Department of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Qingshan XuDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Yuhua FengDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Qiujin XiaDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Xiaolu WangDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Jianfu ZhuDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Jinqing WuDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Tihui WangDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Jiliang ChenDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China.
Xu WangDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China. fawx6815@163.com.
Qijin WangDepartment of Orthopedics, Affiliated Mindong Hospital, Fujian Medical University, Fujian, China. qijinwang@fjmu.edu.cn.

Funding

Natural Science Foundation of Fujian Province 2024J011633Natural Science Foundation of Ningde City 2023J18
6 · The paper itself

Abstract

backgroundWith the growing complexity of total hip arthroplasty (THA) for high hip dislocation (HHD), artificial intelligence (AI)-assisted three-dimensional (3D) preoperative planning has emerged as a promising tool to enhance surgical accuracy. This study compared clinical outcomes of AI-assisted 3D versus conventional two-dimensional (2D) X-ray preoperative planning in such cases.

methodsA retrospective cohort of 92 patients with Crowe type II-IV HHD who underwent THA between May 2020 and January 2023 was analyzed. Patients received either AI-assisted 3D preoperative planning (n = 49) or 2D X-ray preoperative planning (n = 43). The primary outcome was the accuracy of implant size prediction. Secondary outcomes included operative time, blood loss, leg length discrepancy (LLD), implant positioning, functional scores (Harris Hip Score [HHS], WOMAC, VAS), complications, and implant survival at 24 months.

resultsAt 24 months, both groups demonstrated significant improvements in functional outcomes. Compared to the 2D X-ray group, the AI-3D group showed higher accuracy in implant size prediction (acetabular cup: 59.18% vs. 30.23%; femoral stem: 65.31% vs. 41.86%; both p < 0.05), a greater proportion of cups placed within the Lewinnek and Callanan safe zones (p < 0.05), shorter operative time, reduced intraoperative blood loss, and more effective correction of leg length discrepancy (all p < 0.05). No significant differences were observed in HHS, WOMAC, or VAS scores between groups at 24 months (all p > 0.05). Implant survivorship was also comparable (100% vs. 97.7%; p = 0.283), with one revision noted in the 2D X-ray group.

conclusionAI-assisted 3D preoperative planning improves prosthesis selection accuracy, implant positioning, and perioperative outcomes in Crowe type II-IV HHD THA, although 2-year functional and survival outcomes were comparable to 2D X-ray preoperative planning. Considering the higher cost, radiation exposure, and workflow complexity, its broader application warrants further investigation, particularly in identifying patients who may benefit most.

Indexed as

Arthroplasty, Replacement, HipArtificial IntelligenceHip DislocationImaging, Three-DimensionalPreoperative CareAdultAgedFemaleHip ProsthesisHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeArtificial intelligenceClinical outcomesCrowe typeHigh hip dislocationThree-dimensional preoperative planningTotal hip arthroplasty

Identifiers

PMID40836303
PMCPMC12366076

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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.