Literature DB >> 29550400

Systematic review and meta-analysis of the reliability and discriminative validity of cartilage compositional MRI in knee osteoarthritis.

J W MacKay1, S B L Low2, T O Smith3, A P Toms4, A W McCaskie5, F J Gilbert6.   

Abstract

OBJECTIVE: To assess reliability and discriminative validity of cartilage compositional magnetic resonance imaging (MRI) in knee osteoarthritis (OA).
DESIGN: The study was carried out per PRISMA recommendations. We searched MEDLINE and EMBASE (1974 - present) for eligible studies. We performed qualitative synthesis of reliability data. Where data from at least two discrimination studies were available, we estimated pooled standardized mean difference (SMD) between subjects with and without OA. Discrimination analyses compared controls and subjects with mild OA (Kellgren-Lawrence (KL) grade 1-2), severe OA (KL grade 3-4) and OA not otherwise specified (NOS) where not possible to stratify. We assessed quality of the evidence using Quality Appraisal of Diagnostic Reliability (QAREL) and Quality Assessment of Diagnostic Accuracy (QUADAS-2) tools.
RESULTS: Fifty-eight studies were included in the reliability analysis and 26 studies were included in the discrimination analysis, with data from a total of 2,007 knees. Intra-observer, inter-observer and test-retest reliability of compositional techniques were excellent with most intraclass correlation coefficients >0.8 and coefficients of variation <10%. T1rho and T2 relaxometry were significant discriminators between subjects with mild OA and controls, and between subjects with OA (NOS) and controls (P < 0.001). T1rho showed best discrimination for mild OA (SMD [95% CI] = 0.73 [0.40 to 1.06], P < 0.001) and OA (NOS) (0.60 [0.41 to 0.80], P < 0.001). Quality of evidence was moderate for both parts of the review.
CONCLUSIONS: Cartilage compositional MRI techniques are reliable and, in the case of T1rho and T2 relaxometry, can discriminate between subjects with OA and controls.
Copyright © 2018 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage composition; Cartilage mapping; Knee osteoarthritis; Magnetic resonance imaging; Quantitative cartilage imaging

Mesh:

Year:  2018        PMID: 29550400     DOI: 10.1016/j.joca.2017.11.018

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  15 in total

1.  Fast multicomponent 3D-T relaxometry.

Authors:  Marcelo V W Zibetti; Elias S Helou; Azadeh Sharafi; Ravinder R Regatte
Journal:  NMR Biomed       Date:  2020-05-02       Impact factor: 4.044

Review 2.  New advances in MRI diagnosis of degenerative osteoarthropathy of the peripheral joints.

Authors:  Federico Bruno; Francesco Arrigoni; Pierpaolo Palumbo; Raffaele Natella; Nicola Maggialetti; Alfonso Reginelli; Alessandra Splendiani; Ernesto Di Cesare; Luca Brunese; Giuseppe Guglielmi; Andrea Giovagnoni; Carlo Masciocchi; Antonio Barile
Journal:  Radiol Med       Date:  2019-02-15       Impact factor: 3.469

3.  Degenerative changes in cartilage likely occur in the medial compartment after anterior cruciate ligament reconstruction.

Authors:  Tetsuro Ushio; Ken Okazaki; Kanji Osaki; Yukihisa Takayama; Koji Sagiyama; Hideki Mizu-Uchi; Satoshi Hamai; Yukio Akasaki; Hiroshi Honda; Yasuharu Nakashima
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-03-16       Impact factor: 4.342

4.  Optimization of spin-lock times in T mapping of knee cartilage: Cramér-Rao bounds versus matched sampling-fitting.

Authors:  Marcelo V W Zibetti; Azadeh Sharafi; Ravinder R Regatte
Journal:  Magn Reson Med       Date:  2021-11-04       Impact factor: 4.668

Review 5.  Rapid compositional mapping of knee cartilage with compressed sensing MRI.

Authors:  Marcelo V W Zibetti; Rahman Baboli; Gregory Chang; Ricardo Otazo; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2018-10-08       Impact factor: 4.813

6.  Accelerated mono- and biexponential 3D-T1ρ relaxation mapping of knee cartilage using golden angle radial acquisitions and compressed sensing.

Authors:  Marcelo V W Zibetti; Azadeh Sharafi; Ricardo Otazo; Ravinder R Regatte
Journal:  Magn Reson Med       Date:  2019-10-18       Impact factor: 4.668

7.  Multi-vendor multi-site T and T2 quantification of knee cartilage.

Authors:  J Kim; K Mamoto; R Lartey; K Xu; K Nakamura; W Shin; C S Winalski; N Obuchowski; M Tanaka; E Bahroos; T M Link; P A Hardy; Q Peng; R Reddy; A Botto-van Bemden; K Liu; R D Peters; C Wu; X Li
Journal:  Osteoarthritis Cartilage       Date:  2020-07-30       Impact factor: 6.576

8.  Rapid mono and biexponential 3D-T mapping of knee cartilage using variational networks.

Authors:  Marcelo V W Zibetti; Patricia M Johnson; Azadeh Sharafi; Kerstin Hammernik; Florian Knoll; Ravinder R Regatte
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

9.  Longitudinal T2 Mapping and Texture Feature Analysis in the Detection and Monitoring of Experimental Post-Traumatic Cartilage Degeneration.

Authors:  Marc Sebastian Huppertz; Justus Schock; Karl Ludger Radke; Daniel Benjamin Abrar; Manuel Post; Christiane Kuhl; Daniel Truhn; Sven Nebelung
Journal:  Life (Basel)       Date:  2021-03-05

10.  Quantification of Sodium Relaxation Times and Concentrations as Surrogates of Proteoglycan Content of Patellar CARTILAGE at 3T MRI.

Authors:  Benedikt Kamp; Miriam Frenken; Jan M Henke; Daniel B Abrar; Armin M Nagel; Lena V Gast; Georg Oeltzschner; Lena M Wilms; Sven Nebelung; Gerald Antoch; Hans-Jörg Wittsack; Anja Müller-Lutz
Journal:  Diagnostics (Basel)       Date:  2021-12-08
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