Evidence map›Paper›PMID 42582590›Full record

ArticleQuantitative imaging in medicine and surgery2026

Association of knee osseous morphometric parameters with degeneration and tear of the discoid lateral meniscus: a cross-sectional quantitative MRI study.

Sadaqat Ali, Wei Zeng, Hongyu Li, Xu Chen, Ziyi Tang, Qiao Liu, Yongliang Pu, Yao Jin, Wenjing Fang, Haitao Yang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sadaqat AliDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0003-7075-5863
Wei ZengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0005-5781-7331
Hongyu LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0008-8800-8504
Xu ChenDepartment of Radiology, Qianjiang Hospital Affiliated to Chongqing University, Chongqing, China.
Ziyi TangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qiao LiuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0007-2708-8582
Yongliang PuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0005-6083-5565
Yao JinDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0002-0657-5334
Wenjing FangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0000-6189-849X
Haitao YangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-7596-2859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Discoid lateral meniscus (DLM) is a congenital knee variant prone to degeneration and tears owing to its unique morphology and altered biomechanics. While magnetic resonance imaging (MRI) is the gold standard for DLM evaluation, the anatomical contributors to its pathological progression remain unclear. This study aimed to explore MRI-based morphological factors associated with DLM degeneration and tears using quantitative analysis. Methods: A total of 292 patients with DLM were retrospectively divided into three groups based on MRI findings: normal, degenerative, and tear DLM. Quantitative morphometric measurements of knee bony structures were acquired, including fibular head height, tibial spine height, anteroposterior (AP) diameter, width, and height of the medial and lateral femoral condyles, as well as the AP diameter and width of the medial and lateral tibial plateaus. Statistical analyses were performed to explore the associations between these morphological parameters and DLM pathological grading. Results: There were significant differences in osseous morphometric MRI parameters between meniscus grading groups. Significant differences were found in fibular head height, medial tibial spine height, width of lateral femoral condyle, medial and lateral femoral condyle heights, AP diameters of the medial and lateral tibial plateau, and medial tibial plateau width between groups (P<0.05). The medial tibial plateau AP diameter [odds ratio (OR) 1.37, 95% confidence interval (CI): 1.22-1.55, P<0.001] and fibular head height (OR 1.31, 95% CI: 1.12-1.53, P<0.001) were independent predictors of DLM tears. The medial tibial plateau AP diameter showed superior diagnostic ability [area under the curve (AUC) 0.856, 95% CI: 0.807-0.906], followed by fibular head height (AUC 0.846, 95% CI: 0.792-0.900). The combined model yielded a higher diagnostic value (AUC 0.973, 95% CI: 0.954-0.991). Conclusions: Several bony morphological features of the knee, especially the AP diameter of the medial tibial plateau, are associated with an elevated risk of DLM degeneration and tears. These findings may facilitate early risk stratification and clinical decision-making.

Indexed as

Discoid lateral meniscus (DLM)fibular head heightmagnetic resonance imaging (MRI)meniscal teartibial plateau

Identifiers

PMID42582590
PMCPMC13457766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.