Evidence map›Paper›PMID 31455091›Full record

ArticleCartilage2021

A New Method for Cartilage Evaluation in Femoroacetabular Impingement Using Quantitative T2 Magnetic Resonance Imaging: Preliminary Validation against Arthroscopic Findings.

Noam Ben-Eliezer, José G Raya, James S Babb, Thomas Youm, Daniel K Sodickson, Riccardo Lattanzi

Abstract read
In one paragraph

Article in Cartilage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. TJournal of magnetic resonance imaging : JMRI · 2025
    Article
  3. Review
  4. Automated quantification of cartilage quality for hip treatment decision support.International journal of computer assisted radiology and surgery · 2022
    Article
  5. Correcting for imaging gradients-related bias of TMagnetic resonance in medicine · 2022
    Article
  6. Article
  7. Article
  8. Post-Run TCartilage · 2021
    Article
  9. Efficient TMagnetic resonance in medicine · 2021
    Article
  10. Review
  11. Hip preservation.EFORT open reviews · 2020
    Review
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.

Noam Ben-EliezerCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
José G RayaCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
James S BabbCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Thomas YoumDepartment of Orthopedic Surgery, New York University Hospital for Joint Diseases, New York, NY, USA.
Daniel K SodicksonCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Riccardo LattanziCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.ORCID 0000-0002-8240-5903

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
Hip Chondromics: Comprehensive Cartilage Characterization with MR FingerprintingR01AR070297 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LATTANZI, RICCARDO · 2016 to 2021
$2.8M
Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
Rapid multiparametric assessment of hip cartilage with MR fingerprintingR21EB020096 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LATTANZI, RICCARDO · 2015 to 2016
$466k
NIAMS NIH HHS R01 AR070297NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R21 EB020096NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

objectiveThe outcome of arthroscopic treatment for femoroacetabular impingement (FAI) depends on the preoperative status of the hip cartilage. Quantitative T2 can detect early biochemical cartilage changes, but its routine implementation is challenging. Furthermore, intrinsic T2 variability between patients makes it difficult to define a threshold to identify cartilage lesions. To address this, we propose a normalized T2-index as a new method to evaluate cartilage in FAI.

designWe retrospectively analyzed magnetic resonance imaging (MRI) data of 18 FAI patients with arthroscopically confirmed cartilage defects. Cartilage T2 maps were reconstructed from multi-spin-echo 3-T data using the echo-modulation-curve (EMC) model-based technique. The central femoral cartilage, assumed healthy in early-stage FAI, was used as the normalization reference to define a T2-index. We investigated the ability of the T2-index to detect surgically confirmed cartilage lesions.

resultsThe average T2-index was 1.14 ± 0.1 and 1.13 ± 0.1 for 2 separated segmentations. Using T2-index >1 as the threshold for damaged cartilage, accuracy was 88% and 100% for the 2 segmentations. We found moderate intraobserver repeatability, although separate segmentations yielded comparable accuracy. Damaged cartilage could not be identified using nonnormalized average T2 values.

conclusionsThis preliminary study confirms the importance of normalizing T2 values to account for interpatient variability and suggests that the T2-index is a promising biomarker for the detection of cartilage lesions in FAI. Future work is needed to confirm that combining T2-index with morphologic MRI and other quantitative biomarkers could improve cartilage assessment in FAI.

Indexed as

ArthroscopyCartilage, ArticularFemoracetabular ImpingementHumansMagnetic Resonance ImagingRetrospective Studiesarticular cartilageFAIquantitative MRIT2-indexT2-mapping

Identifiers

PMID31455091
PMCPMC8808928

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.