Evidence map›Paper›PMID 35966082›Full record

ArticleFrontiers in endocrinology2022

Quantitative MRI evaluation of articular cartilage in patients with meniscus tear.

Enqi Chen, Wenjing Hou, Hu Wang, Jing Li, Yangjing Lin, He Liu, Mingshan Du, Lian Li, Xianqi Wang, Jing Yang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Early Knee Osteoarthritis Detection by Multi-Component TBioengineering (Basel, Switzerland) · 2026
    Article
  2. 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

16 authors at 3 institutions in 1 country.

Enqi ChenDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Wenjing HouDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Hu WangDepartment of Radiology, Sichuan Science City Hospital, Mianyang, China.
Jing LiDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Yangjing LinCentre of Joint Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
He LiuDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Mingshan DuDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Lian LiDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Xianqi WangDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jing YangDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Rui YangDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Changru ZhouDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Pinzhen ChenDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Meng ZengDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Qiandong YaoDepartment of Radiology, Sichuan Science City Hospital, Mianyang, China.
Wei ChenDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Army Medical University · CNSouthwest Hospital · CNSichuan Mianyang 404 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to assess quantitatively articular cartilage volume, thickness, and T2 value alterations in meniscus tear patients. Materials and methods: The study included 32 patients with meniscus tears (17 females, 15 males; mean age: 40.16 ± 11.85 years) and 24 healthy controls (12 females; 12 males; mean age: 36 ± 9.14 years). All subjects were examined by 3 T magnetic resonance imaging (MRI) with 3D dual-echo steady-state (DESS) and T2 mapping images. All patients underwent diagnostic arthroscopy and treatment. Cartilage thickness, cartilage volume and T2 values of 21 subregions of knee cartilage were measured using the prototype KneeCaP software (version 2.1; Siemens Healthcare, Erlangen, Germany). Mann-Whitney-U tests were utilized to determine if there were any significant differences among subregional articular cartilage volume, thickness and T2 value between patients with meniscus tear and the control group. Results: The articular cartilage T2 values in all subregions of the femur and tibia in the meniscus tear group were significantly higher ( Conclusion: The difference in articular cartilage indexes between patients with meniscus tears and healthy people without such tears can be detected by using quantitative MRI. Quantitative T2 values enable early and sensitive detection of early cartilage lesions.

Indexed as

Cartilage, ArticularMeniscusAdultFemaleFemurHumansKnee JointMagnetic Resonance ImagingMaleMiddle Agedarticular cartilagecartilage thicknesscartilage volumemeniscus tearMRIquantitativeT2 mapping

Identifiers

PMID35966082
PMCPMC9372396
OpenAlexW4288489382

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.