Evidence map›Paper›PMID 42817870›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Diffusion Tensor Imaging of Knee Cartilage for Detection of Early Osteoarthritis and Prediction of Radiographic Progression.

José G Raya, Dimitri Martel, Alejandra Duarte, Jenny T Bencardino, Svetlana Krasnokutsky-Samuels, Jonathan Samuels, Richard Kijowski, Amparo Ruiz

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. 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

8 authors.

José G RayaCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-7202-5712
Dimitri MartelCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Alejandra DuarteDivision of Musculoskeletal Radiology, Department of Radiology, Fundación Santa Fe de Bogotá, Bogotá, Colombia.
Jenny T BencardinoDepartment of Radiology, Montefiore Medical Center, Bronx, New York, USA.
Svetlana Krasnokutsky-SamuelsDivision of Rheumatology, Department of Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, New York, USA.
Jonathan SamuelsDivision of Rheumatology, Department of Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-1513-770X
Richard KijowskiRadNet, New York, New York, USA.
Amparo RuizCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-3947-4540

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Diffusion Tensor Imaging as a Biomarker for the Early Diagnosis, Staging and Progression of OsteoarthritisR01AR067789 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAYA GARCIA DEL OLMO, JOSE MARIA · 2015 to 2019
$2.8M
Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After InjuryR01AR082225 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORSTEN KIRSCH, Maria Amparo Ruiz Garzon · 2023 to 2026
$2.6M
Imaging and therapeutic targeting of tissue crosstalk in the injured kneeR01AR082670 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Maria Amparo Ruiz Garzon · 2024 to 2026
$2.1M
NIAMS NIH HHS R01 AR067789NIAMS NIH HHS R01 AR082225NIAMS NIH HHS R01 AR082670NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

backgroundThe progression of early osteoarthritis (OA) is difficult to predict radiographically. T2 mapping provides information about cartilage degeneration, but its sensitivity to early matrix injury is limited. Diffusion tensor imaging (DTI) may detect cartilage microstructural abnormalities beyond T2 mapping. PURPOSE: To test whether baseline cartilage DTI metrics are associated with early knee OA and 3-year radiographic progression, and to compare their performance with T2 mapping and baseline Whole-Organ Magnetic Resonance Imaging Score (WORMS). STUDY TYPE: Prospective longitudinal cohort. POPULATION: Seventy-one participants (40 female, 31 male): 60 with unilateral symptomatic OA (one knee Kellgren-Lawrence [KL] ≥ 2, contralateral KL = 1) and 11 asymptomatic controls; 40 OA participants had 3-year follow-up radiographs. FIELD STRENGTH/SEQUENCE: 3T, radial spin-echo diffusion (RAISED) DTI and multi-echo spin-echo T2 mapping. ASSESSMENT: KL grade, joint space width, baseline WORMS, and cartilage segmentations were obtained. Mean diffusivity (MD), fractional anisotropy, axial diffusivity, radial diffusivity (RD), and T2 were calculated in six cartilage regions. Progression was defined as joint space narrowing (JSN) > 0.7 mm or any KL grade increase. STATISTICAL TESTS: ANCOVA adjusted for age, sex, and body mass index. Discrimination was assessed with the area under the receiver operating characteristic curve (AUC); predictive models were evaluated using cross-validated AUC. A two-sided p < 0.05 was considered statistically significant.

resultsBaseline medial femoral condyle (MFC) MD distinguished KL = 0 from KL ≥ 1 knees (AUC 0.90), whereas a T2-based model showed lower discrimination (AUC 0.55). Among KL = 1 knees, 30% showed JSN progression and 28% KL progression. Baseline MFC MD and RD were higher in progressors, and adding MFC MD improved prediction of radiographic progression (AUC 0.80 for JSN and 0.71 for KL). DATA

conclusionBaseline cartilage DTI, particularly MFC MD, showed stronger associations with early knee OA and radiographic progression than T2 mapping. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 3.

Indexed as

3T MRIcartilagediffusion tensor imagingmean diffusivityosteoarthritisquantitative MRI

Identifiers

PMID42817870
PMCPMC13660440

What OpenQuestion holds

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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.