Evidence map›Paper›PMID 41437020›Full record

ArticleBMC oral health2025

Condylar alteration in three subtypes of temporomandibular disorder based on U-HRCT: a cross-sectional study.

Ruowei Tang, Wen Chen, Ning Xu, Xiaoqing Yuan, Xuan Bai, Bihe Zhang, Xidong Zhang, Zhenghan Yang, Xiaofeng Huang, Zhenchang Wang and 2 more

Abstract read
In one paragraph

Article in BMC oral health, 2025. 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

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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

12 authors.

Ruowei Tang *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China.
Wen Chen *Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Ning XuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China.
Xiaoqing YuanDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China.
Xuan BaiMRI Room, Imaging Center, The First Affiliated Hospital of Xi'an Jiaotong University, Yulin Hospital, Yulin, 719000, China.
Bihe ZhangDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Xidong ZhangHebei Key Laboratory of Clinical Pharmacy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Zhenghan YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China.
Xiaofeng HuangDepartment of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China.ORCID http://orcid.org/0000-0001-8190-6469
Pengfei Zhao *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China. zhaopengf05@163.com.
Ning Zhang *Department of Oral and Maxillofacial Plastic and Traumatic Surgery, Beijing Stomatological Hospital, Capital Medical University, Beijing, 100070, China. 13810481065@163.com.ORCID http://orcid.org/0009-0003-5703-1967

Funding

Beijing Friendship Hospital, Capital Medical University YYZZ202336Beijing Scholar 2015 [2015] 160National Natural Science Foundation of China 82302282National Natural Science Foundation of China 8257070418Natural Science Foundation of Capital Medical University PYZ23075
6 · The paper itself

Abstract

backgroundTo investigate osseous remodeling pattern of the condyle across different subtypes of temporomandibular disorder (TMD) using 3D model generated from ultra-high-resolution CT (U-HRCT).

methodsThis single-center, retrospective study enrolled patients with unilateral TMD who underwent both U-HRCT and magnetic resonance imaging from November 2021 to June 2024. Temporomandibular joints (TMJs) were categorized into three TMD subtypes: disc displacement with reduction (DDWR), disc displacement without reduction (DDWoR), and osteoarthritis (OA). Condylar morphology parameters, including length, width, height, total volume, anterior volume, and posterior volume, were measured on 3D model derived from U-HRCT images by two independent observers. Affected and unaffected TMJs of the same patient were compared using paired sample t-test, and inter-group differences among TMD subtypes were assessed using two-way ANOVA with Bonferroni correction.

resultsA total of 115 participants (mean age 34.6 ± 13.4 years, 103 females) were included. Compared with unaffected side, affected TMJ showed significantly smaller height (DDWR, DDWoR), width (OA), and volumetric data (all groups). Inter-group comparison of affected TMJ revealed significant differences in condylar height and total volume between DDWR and OA (p = 0.007 and 0.001, respectively). The posterior volume was the lowest in OA (399.71 ± 123.43 mm3), followed by DDWoR (517.51 ± 179.30 mm3) and DDWR (542.11 ± 153.76 mm3), while the anterior volume was smallest in DDWoR (309.49 ± 107.27 mm3), followed by OA (336.92 ± 128.81 mm3) and DDWR (361.50 ± 110.03 mm3).

conclusionU-HRCT-based 3D models reveal condylar osseous remodeling patterns across TMD subtypes, and posterior volume may serve as a potential osseous remodeling indicator to differentiate TMD subtypes.

Indexed as

Mandibular CondyleTemporomandibular Joint DisordersTomography, X-Ray ComputedAdultBone RemodelingCross-Sectional StudiesFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritisRetrospective StudiesTemporomandibular Joint DiscBone remodelingMandibular condyleOsteoarthritisTemporomandibular joint disordersTomography, X-Ray computed

Identifiers

PMID41437020
PMCPMC12729815

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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.