Evidence map›Paper›PMID 41473939›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Detection of Early Knee Osteoarthritis Using Multi-Component T

Hector L de Moura, Anmol Monga, Dilbag Singh, Marcelo V W Zibetti, Jonathan Samuels, Ravinder R Regatte

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. 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

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

1 citing paper in PubMed.

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

6 authors.

Hector L de MouraDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-6620-9814
Anmol MongaDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0009-0001-5248-3126
Dilbag SinghDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0001-6475-4491
Marcelo V W ZibettiDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-2856-3625
Jonathan SamuelsDepartment of Medicine, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-1513-770X
Ravinder R RegatteDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-4607-7682

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Multiparametric Mapping of Knee Joint with Magnetic Resonance FingerprintingR01AR076985 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2021 to 2025
$3.1M
Rapid Quantitative Assessment of Knee Joint with Compressed SensingR01AR076328 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2020 to 2024
$3.0M
Data-Driven Learning Framework for Fast Quantitative Knee Joint MappingR01AR078308 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ravinder Regatte, Marcelo Victor Wust Zibetti · 2021 to 2026
$2.6M
NIAMS NIH HHS R01 AR076328NIAMS NIH HHS R01-AR076328NIAMS NIH HHS R01 AR076985NIAMS NIH HHS R01-AR076985NIAMS NIH HHS R01 AR078308NIAMS NIH HHS R01-AR078308NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

backgroundEarly detection of knee osteoarthritis (OA) is important. Spin-lattice relaxation in the rotating frame (T PURPOSE: To evaluate if stretched- (SE) and bi-exponential (BE) T STUDY TYPE: Case-control study. POPULATION: Twenty-six healthy subjects (mean age 51.5) and 26 early knee OA patients (mean age 61.8). FIELD STRENGTH/SEQUENCE: T ASSESSMENT: T STATISTICAL TESTS: Parameters were adjusted for age. Mann-Whitney U-test (group comparisons), linear discriminant analysis (LDA), and area under the receiver operating characteristic (ROC) curve (AUC) with bootstrapped 95% confidence intervals (CI). Significance level set at p < 0.05, using the false discovery rate (FDR) to correct for multiple comparisons.

resultsIn the global analysis, no model demonstrated significant diagnostic performance (p-values of 0.63, 0.96, 0.63 for ME, SE, and BE). Multi-regional SE model (AUC = 0.83, CI: 0.72, 0.93) significantly distinguished OA and healthy groups. Calibration analysis showed the SE model had the lowest Brier score (0.17), significantly better than the ME model (0.26). DATA

conclusionSub-regional analysis of T EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 2.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance ImagingOsteoarthritis, KneeAdultAgedCartilage, ArticularCase-Control StudiesEarly DiagnosisFemaleHumansKnee JointMaleMiddle AgedReproducibility of ResultsROC CurveSensitivity and Specificityknee cartilagelinear discriminative analysisosteoarthritisquantitative MRI

Identifiers

PMID41473939
PMCPMC12910345

What OpenQuestion holds

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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.