Evidence map›Paper›PMID 26443990›Full record

ArticleJournal of magnetic resonance imaging : JMRI2016

Fully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel-based relaxometry.

Valentina Pedoia, Xiaojuan Li, Favian Su, Nathaniel Calixto, Sharmila Majumdar

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
–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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A novel mr-based method for detection of cartilage delamination in femoroacetabular impingement patients.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Trial
  4. Article
  5. TJournal of magnetic resonance imaging : JMRI · 2025
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  13. Baseline cartilage T1ρ and T2 predicted patellofemoral joint cartilage lesion progression and patient-reported outcomes after ACL reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  14. Article
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  16. A transfer learning approach for automatic segmentation of the surgically treated anterior cruciate ligament.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  17. Review
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  20. Multiparametric MRI characterization of knee articular cartilage and subchondral bone shape in collegiate basketball players.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
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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

5 authors.

Valentina PedoiaMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, California, USA.
Xiaojuan LiMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, California, USA.
Favian SuMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, California, USA.
Nathaniel CalixtoMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, California, USA.
Sharmila MajumdarMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, California, USA.

Funding

MRI TO STUDY CARTILAGE/BONE INTERACTIONSR01AR046905 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 1999 to 2015
$6.3M
Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2011 to 2015
$6.2M
NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR046905NIAMS NIH HHS R01AR046905
6 · The paper itself

Abstract

purposeTo develop and compare with the classical region of interest (ROI)-based approach a fully automatic, local, and unbiased way of studying the knee T1ρ relaxation time by creating an atlas and using voxel-based relaxometry (VBR) in osteoarthritis (OA) and anterior cruciate ligament (ACL) subjects. MATERIALS AND

methodsIn this study 110 subjects from two cohorts: 1) Mild OA 40 patients with mild-OA Kellgren-Lawrence (KL) ≤ 2 and 15 controls KL ≤ 1; 2) ACL cohort (a model for early OA): 40 ACL-injured patients imaged prior to ACL reconstruction and 1-year postsurgery and 15 controls are analyzed. All the subjects were acquired at 3T with a protocol that includes: 3D-FSE (CUBE) and 3D-T1ρ . A nonrigid registration technique was applied to align all the images on a single template. This allows for performing VBR to assess local statistical differences of T1ρ values using z-score analysis. VBR results were compared with those obtained with classical ROI-based technique.

resultsROI-based results from atlas-based segmentation were consistent with classical ROI-based method (coefficient of variation [CV] = 3.83%). Voxel-based group analysis revealed local patterns that were overlooked by the ROI-based approach; eg, VBR showed posterior lateral femur and posterior lateral tibia significant T1ρ elevations in ACL-injured patients (sample mean z-score=9.7 and 10.3). Those elevations were overlooked by the classical ROI-based approach (sample mean z-score=1.87 and -1.73)

conclusionVBR is a feasible and accurate tool for the local evaluation of the biochemical composition of knee articular cartilage. VBR is capable of detecting specific local patterns on T1ρ maps in OA and ACL subjects.

Indexed as

Magnetic Resonance ImagingAdultAnterior Cruciate LigamentAnterior Cruciate Ligament ReconstructionBody Mass IndexCartilage, ArticularCohort StudiesFemaleHumansImage Processing, Computer-AssistedKneeKnee InjuriesKnee JointMaleMenisci, TibialMiddle AgedACLatlas-based segmentationknee cartilageosteoarthritisT1ρvoxel based relaxometry

Identifiers

PMID26443990
PMCPMC5018211

What OpenQuestion holds

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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.