Evidence map›Paper›PMID 41608903›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2026

Reliability and Repeatability of Diffusion Tensor Imaging in Healthy and Pathological Patellar Tendons.

Elizabeth A Schmida, Ethan Hansen, Daniel E O'Brien, Diego Hernando, Kenneth S Lee, Bryan C Heiderscheit, Samuel A Hurley, Naoaki Ito

Abstract readValidation Study
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 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. Reliability and Repeatability of Diffusion Tensor Imaging in Healthy and Pathological Patellar Tendons.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 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

8 authors.

Elizabeth A SchmidaDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0009-0003-9193-6508
Ethan HansenDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Daniel E O'BrienDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Diego HernandoDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Kenneth S LeeDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Bryan C HeiderscheitDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Samuel A HurleyDepartment of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Naoaki ItoDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-4166-5319

Funding

Advancing rehabilitation of patellar tendon injuries using innovative wearable technology and quantitative magnetic resonance imaging techniquesK99AR085752 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI Naoaki Ito · 2025 to 2026
$198k
Department of Radiology, University of Wisconsin-Madison; Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison; National Institute of Arthritis and Musculoskeletal and Skin Disease, Grant/Award Number: K99AR085752NIAMS NIH HHS K99 AR085752
6 · The paper itself

Abstract

Patellar tendinopathy and bone-patellar tendon-bone autograft harvest for anterior cruciate ligament reconstruction are tendon injuries that impact long-term knee health. Diffusion tensor imaging (DTI) is a non-invasive magnetic resonance imaging (MRI) based approach with the potential to assess tendon microstructure. This study aimed to determine the inter-rater reliability of segmentations and test-retest repeatability of DTI metrics in pathological and contralateral patellar tendons. Ten participants received two bilateral knee MRI scans within a 7-day period. 3D CUBE proton density weighted images and DTI were acquired. Two raters segmented each of the first scans, and one rater segmented the second scans. Tendon masks were then bisected into proximal and distal regions of equal length and trisected into medial, lateral, and central regions of equal width. From the DTI acquisition, diffusivities and fractional anisotropy averages were extracted. Intraclass correlations (ICCs) for inter-rater reliability and test-retest repeatability were calculated for each metric separated by limb (pathological vs contralateral tendon). Excellent inter-rater reliability was observed for all DTI scalar metrics in all regions (ICCs from 0.920 to 0.994). Repeatability was poor to moderate in pathological tendons (0.164 to 0.709) and moderate to good in contralateral tendons (0.566 to 0.842). Statement of Clinical Significance: While clinical implications of altered DTI scalar metrics in pathological tendons require further investigation, findings from this study provide clinicians and researchers with a reliable method for capturing patellar tendon microstructure.

Indexed as

Diffusion Tensor ImagingPatellar LigamentTendinopathyAdultClinical RelevanceCross-Sectional StudiesFemaleHumansMaleReproducibility of ResultsYoung Adultanterior cruciate ligamentmicrostructurerehabilitationtendinopathy

Identifiers

PMID41608903
PMCPMC12853323

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.