Evidence map›Paper›PMID 33894091›Full record

ArticleJournal of magnetic resonance imaging : JMRI2021

Quantitative 3D Ultrashort Echo Time Magnetization Transfer Imaging for Evaluation of Knee Cartilage Degeneration In Vivo.

Yan-Ping Xue, Ya-Jun Ma, Mei Wu, Saeed Jerban, Zhao Wei, Eric Y Chang, Jiang Du

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Yan-Ping XueDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2713-2970
Ya-Jun MaDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Mei WuDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Saeed JerbanDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Zhao WeiDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Eric Y ChangDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-3633-5630
Jiang DuDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
University of California San Diego · USCapital Medical University · CN

Funding

Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of EnthesesR01AR075825 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2019 to 2023
$1.8M
Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral JunctionR21AR075851 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MA, YAJUN · 2020 to 2021
$376k
CSRD VA I01 CX001388NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R21 AR075851RRD VA I21 RX002367
6 · The paper itself

Abstract

backgroundRecent studies suggest that macromolecular fraction (MMF) derived from three-dimensional ultrashort echo time magnetization transfer (UTE-MT) imaging is insensitive to the magic angle effect. However, its clinical use in osteoarthritis (OA) remains to be investigated. PURPOSE: To investigate the feasibility of 3D UTE-MT-derived MMF in differentiating normal from degenerated cartilage. STUDY TYPE: Prospective. SUBJECTS: Sixty-two participants (54.8 ± 16.7 years, 30 females) with and without OA, plus two healthy volunteers (mean age 35.0 years) for reproducibility test. FIELD STRENGTH/SEQUENCE: 3 T/UTE-MT sequence. ASSESSMENT: A 3D UTE-MT sequence was employed to calculate MMF based on a two-pool model. Kellgren-Lawrence (KL) grade and Whole-Organ Magnetic Resonance Imaging Score (WORMS) were evaluated by three experienced musculoskeletal radiologists. KL grade was condensed into three groups: KL0, KL1-2, and KL3-4. WORMS was regrouped based on extent of lesion (extent group) and depth of lesion (depth group), respectively. The performance of MMF at evaluating the degeneration of cartilage was assessed via Spearman's correlation coefficient and the area under the curve (AUC) calculated according to the receiver-operating characteristic curve. STATISTICAL TESTS: After normality check, one-way analysis of variance was used to evaluate the performance. Tukey-Kramer test was performed for post hoc testing.

resultsMMF showed significant negative correlations with KL grade (r = -0.53, P < 0.05) and WORMS (r = -0.49, P < 0.05). Significantly lower MMFs were found in subjects with greater KL grade (11.8 ± 0.8% for KL0; 10.9 ± 0.9% for KL1-2; 10.6 ± 1.1% for KL3-4; P < 0.05) and in cartilage with greater extent (12.1 ± 1.6% for normal cartilage; 10.9 ± 1.6% for regional lesions; 9.6 ± 1.7% for diffuse lesions; P < 0.05) and depth (12.1 ± 1.6% for normal cartilage; 10.6 ± 1.6% for partial-thickness lesions; 8.8 ± 1.7% for full-thickness lesions; P < 0.05) of lesions. AUC values of MMF for doubtful-minimal OA (KL1-2) and mild cartilage degradation (WORMS1-2) were 0.8 and 0.7, respectively. DATA

conclusionThis study highlights the clinical potential of MMF in the detection of early OA. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2.

Indexed as

Cartilage, ArticularOsteoarthritis, KneeAdultCartilageFemaleHumansKnee JointMagnetic Resonance ImagingProspective StudiesReproducibility of Resultscartilagemagnetization transferosteoarthritisultrashort echo time

Identifiers

PMID33894091
PMCPMC9022479
OpenAlexW3158320287

What OpenQuestion holds

Textmetadata
LicenceTDM
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.