Evidence map›Paper›PMID 35537895›Full record

ArticleUltrasound in medicine & biology2022

Quantitative Ultrasound Assessment of Early Osteoarthritis in Human Articular Cartilage Using a High-Frequency Linear Array Transducer.

Theresa H Lye, Omar Gachouch, Lisa Renner, Sefer Elezkurtaj, Hannes Cash, Daniel Messroghli, Kay Raum, Jonathan Mamou

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Reply.Arthritis & rheumatology (Hoboken, N.J.) · 2026
    Article
  3. Article
  4. 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

8 authors at 6 institutions in 2 countries.

Theresa H LyeFrederic L. Lizzi Center for Biomedical Engineering, Riverside Research, New York, New York, USA.
Omar GachouchBerlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Lisa RennerCentrum für Muskuloskeletale Chirurgie (CMSC), Charité-Universitätsmedizin Berlin, Berlin, Germany.
Sefer ElezkurtajInstitut für Pathologie, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Hannes CashDepartment of Urology, Otto-von-Guericke-University Magdeburg, Germany and PROURO, Berlin, Germany.
Daniel MessroghliDepartment of Internal Medicine and Cardiology, Deutsches Herzzentrum Berlin and Charite-Universitätsmedizin Berlin, Berlin, Germany.
Kay RaumBerlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Jonathan MamouFrederic L. Lizzi Center for Biomedical Engineering, Riverside Research, New York, New York, USA. Electronic address: jom4032@med.cornell.edu.
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DECharité - Universitätsmedizin Berlin · DECornell University · USDeutsches Herzzentrum der Charité · DEOtto-von-Guericke-Universität Magdeburg · DERiverside Research Institute · US

Funding

Novel Quantitative Ultrasound methods for in-vivo histomorphology to grade early cartilage degenerationR21AR074668 · NIAMS · RIVERSIDE RESEARCH INSTITUTE · PI MAMOU, JONATHAN · 2019 to 2020
$336k
NIAMS NIH HHS R21 AR074668
6 · The paper itself

Abstract

Quantitative ultrasound (QUS) assessment of osteoarthritis (OA) using high-frequency, research-grade single-element ultrasound systems has been reported. The objective of this ex vivo study was to assess the performance of QUS in detecting early OA using a high-frequency linear array transducer. Osteochondral plugs (n = 26) of human articular cartilage were scanned with ExactVu Micro-Ultrasound using an EV29L side-fire transducer. For comparison, the samples were also imaged with SAM200Ex, a custom 40-MHz scanning acoustic microscope with a single-element, focused transducer. Thirteen QUS parameters were derived from the ultrasound data. Magnetic resonance imaging (MRI) data, with T1 and T2 extracted as the quantitative parameters, were also acquired for comparison. Cartilage degeneration was graded from histology and correlated to all quantitative parameters. A maximum Spearman rank correlation coefficient (ρ) of 0.75 was achieved using a combination of ExactVu QUS parameters, while a maximum ρ of 0.62 was achieved using a combination of parameters from SAM200Ex. A maximum ρ of 0.75 was achieved using the T1 and T2 MRI parameters. This study illustrates the potential of a high-frequency linear array transducer to provide a convenient method for early OA screening with results comparable to those of research-grade single-element ultrasound and MRI.

Indexed as

Cartilage, ArticularCartilage DiseasesOsteoarthritisHumansMagnetic Resonance ImagingTransducersUltrasonographyCartilageOsteoarthritisQuantitative ultrasound

Identifiers

PMID35537895
PMCPMC9246887
OpenAlexW4229027721

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.