Evidence map›Paper›PMID 38276884›Full record

ArticleThe British journal of radiology2024

Utility of three-dimensional proton density-weighted sequence MRI in knee for the assessment of Anterolateral complex in Anterior cruciate ligament injury.

Ankith Guruprasad, Upasna Sinha, Sudeep Kumar, Avinash Kumar, Shamshad Ahmad, Prem Kumar, Prabhat Agrawal

Open access · bronzeAbstract read
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Article in The British journal of radiology, 2024. 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
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

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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, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Ankith GuruprasadDepartment of Radiodiagnosis, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
Upasna SinhaDepartment of Radiodiagnosis, All India Institute of Medical Sciences Patna, Bihar, 801507, India.ORCID 0000-0002-0915-3092
Sudeep KumarDepartment of Orthopedics, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
Avinash KumarDepartment of Orthopedics, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
Shamshad AhmadDepartment of Community and Family Medicine, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
Prem KumarDepartment of Radiodiagnosis, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
Prabhat AgrawalDepartment of Orthopedics, All India Institute of Medical Sciences Patna, Bihar, 801507, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the proportion and pattern of injury of the anterolateral ligament (ALL) and the Kaplan fibre (KF) complex in knees with anterior cruciate ligament (ACL) injuries on MRI using three-dimensional (3D) proton density (PD) sequences.

methodsA total of 88 patients having ACL injury were included in this cross-sectional study. 3D PD sequences were used to assess injury of ALL and the KF complex and were graded on a scale of 0 to 3. MR images were evaluated by two radiologists. Interobserver agreement was determined using Cohen Kappa.

resultsFemoral, meniscal, and tibial portions of ALL were visualized in 90.9%, 92%, and 94.3% of the study subjects, respectively. Proximal and distal KF were visualized in 92% and 93.2% of patients, respectively. Injury to ALL and KF was seen in 63.6% and 17% of the patients, respectively. Excellent interobserver agreement was noted for the identification and grading of ALL and KF complex injuries.

conclusionsOblique reformatted 3DPD MRI reliably detect ALC; however, ALL injury is better characterized than KF injury using this sequence. ADVANCES IN KNOWLEDGE: Given the potential role of anterolateral complex (ALC) in maintaining the rotational stability of the knee, ALC assessment using the 3D PD sequences and their oblique reformatted images should be incorporated as routine review area of the knee MRI, particularly in the setting of ACL tear.

Indexed as

Anterior Cruciate Ligament InjuriesCross-Sectional StudiesHumansKnee JointMagnetic Resonance ImagingProtonsProtons3DPD MRIAnterior cruciate ligamentAnterolateral complexAnterolateral ligamentKaplan fibre

Identifiers

PMID38276884
PMCPMC11027298
OpenAlexW4390619486

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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.