Evidence map›Paper›PMID 36370959›Full record

ArticleOsteoarthritis and cartilage2023

Reproducibility of T

R Lartey, A Nanavati, J Kim, M Li, K Xu, K Nakamura, W Shin, C S Winalski, N Obuchowski, E Bahroos and 8 more

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026
    Review
  3. Article
  4. Article
  5. Multiparametric quantitative magnetic resonance imaging of skeletal muscle in CKD.American journal of physiology. Renal physiology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. 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

18 authors.

R LarteyProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
A NanavatiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
J KimProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
M LiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
K XuProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
K NakamuraProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA.
W ShinProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, OH, USA.
C S WinalskiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA; Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, OH, USA.
N ObuchowskiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, OH, USA.
E BahroosDepartment of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), CA, USA.
T M LinkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), CA, USA.
P A HardyDepartment of Radiology, University of Kentucky, Lexington KY, USA.
Q PengDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
J KimArthritis Foundation, GA, USA.
K LiuSiemens Medical Solution Inc., USA.
M FungGE Healthcare, Waukesha, WI, USA.
C WuDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
X LiProgram of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA; Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, OH, USA. Electronic address: lix6@ccf.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Multi-Vendor Multi-Site Novel Accelerated MRI RelaxometryR01AR077452 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI LI, XIAOJUAN · 2020 to 2025
$3.6M
NCI NIH HHS P30 CA008748NIAMS NIH HHS R01 AR077452
6 · The paper itself

Abstract

objectiveTo evaluate the multi-vendor multi-site reproducibility of two-dimensional (2D) multi-echo spin-echo (MESE) T

methodsPhantoms and volunteers (n = 5 from each site, n = 20 in total) were scanned on four 3 T magnetic resonance (MR) systems from four sites and three vendors (Siemens, General Electric, and Phillips). Two traveling volunteers (3 knees) scanned at all 4 sites at baseline and 6-month follow-up. Data was transferred to one site for centralized processing. Coefficients of variation (CVs) were calculated to evaluate reproducibility.

resultsFor baseline 2D MESE T

conclusionThis study demonstrated excellent intra-site reproducibility of 2D MESE T

Indexed as

Cartilage, ArticularMagnetic Resonance ImagingHumansPhantoms, ImagingReproducibility of ResultsCartilage imagingMagnetic resonance imagingRepeatabilityReproducibilityT(1ρ)T(2)

Identifiers

PMID36370959
PMCPMC10016129

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.