Literature DB >> 22525597

A preliminary study of the T1rho values of normal knee cartilage using 3T-MRI.

Hajimu Goto1, Yuki Iwama, Masahiko Fujii, Nobukazu Aoyama, Seiji Kubo, Ryosuke Kuroda, Yoshiharu Ohno, Kazuro Sugimura.   

Abstract

INTRODUCTION: To investigate the degree of the effect of aging and weight-bearing on T1rho values in normal cartilage.
MATERIALS AND METHODS: Thirty-two asymptomatic patients were examined using 3.0-T magnetic resonance imaging (MRI) to determine knee cartilage T1rho values and T2 values. The femoral and tibial cartilage was divided into weight-bearing (WB-Rs) and less-weight-bearing (LWB-Rs) regions. Single regression analysis was used to assess the relationship between cartilage T1rho values and age and between T2 values and age. Analysis of variance and post hoc-testing were used to evaluate differences in WB-Rs and LWB-Rs cartilage T1rho values and T2 values. Multiple linear regression modeling was performed to predict cartilage T1rho values.
RESULTS: Cartilage T1rho values correlated positively with age for all cartilage regions tested (p<0.001). There were no significant correlations between cartilage T2 values and age. In both the medial femoral and tibial cartilage, T1rho values were significantly higher in WB-Rs than in LWB-Rs (p<0.05). There were no significant differences in T2 values between WB-Rs and LWB-Rs. Multiple linear regression analysis showed that both age and weight-bearing were significant predictors of increased medial knee cartilage T1rho values (p<0.001).
CONCLUSIONS: Aging and the degree of weight-bearing correlate with the change in cartilage T1rho values. Based on multiple regression modeling, aging may be a more important factor than weight-bearing for cartilage T1rho values.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22525597     DOI: 10.1016/j.ejrad.2012.03.022

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  21 in total

1.  Imaging biopsy composition at ACL reconstruction.

Authors:  Douglas R Pedersen; James A Martin; Daniel R Thedens; Noelle F Klocke; Nathaniel H Roberts; Jessica E Goetz; Annunziato Amendola
Journal:  Orthop Res Rev       Date:  2013

Review 2.  Quantitative MRI in the evaluation of articular cartilage health: reproducibility and variability with a focus on T2 mapping.

Authors:  Rachel K Surowiec; Erin P Lucas; Charles P Ho
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-10-30       Impact factor: 4.342

3.  R dispersion and sodium imaging in human calf muscle.

Authors:  Ping Wang; He Zhu; Hakmook Kang; John C Gore
Journal:  Magn Reson Imaging       Date:  2017-07-24       Impact factor: 2.546

4.  Principal component analysis-T voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects.

Authors:  Valentina Pedoia; Colin Russell; Allison Randolph; Xiaojuan Li; Sharmila Majumdar
Journal:  Quant Imaging Med Surg       Date:  2016-12

5.  Synovial Fluid Profile at the Time of Anterior Cruciate Ligament Reconstruction and Its Association With Cartilage Matrix Composition 3 Years After Surgery.

Authors:  Keiko Amano; Janet L Huebner; Thomas V Stabler; Matthew Tanaka; Charles E McCulloch; Iryna Lobach; Nancy E Lane; Virginia B Kraus; C Benjamin Ma; Xiaojuan Li
Journal:  Am J Sports Med       Date:  2018-01-24       Impact factor: 6.202

6.  Quantitative MRI techniques of cartilage composition.

Authors:  Stephen J Matzat; Jasper van Tiel; Garry E Gold; Edwin H G Oei
Journal:  Quant Imaging Med Surg       Date:  2013-06

Review 7.  T₁ρ MRI of human musculoskeletal system.

Authors:  Ligong Wang; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2014-06-17       Impact factor: 4.813

8.  Chemical exchange in knee cartilage assessed by R1ρ (1/T1ρ) dispersion at 3T.

Authors:  Ping Wang; Jake Block; John C Gore
Journal:  Magn Reson Imaging       Date:  2014-08-02       Impact factor: 2.546

Review 9.  Quantitative radiologic imaging techniques for articular cartilage composition: toward early diagnosis and development of disease-modifying therapeutics for osteoarthritis.

Authors:  Edwin H G Oei; Jasper van Tiel; William H Robinson; Garry E Gold
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-08       Impact factor: 4.794

10.  T1ρ Magnetic Resonance Imaging to Assess Cartilage Damage After Primary Shoulder Dislocation.

Authors:  Vishal Saxena; Kevin D'Aquilla; Shannon Marcoon; Guruprasad Krishnamoorthy; Joshua A Gordon; James L Carey; Ari Borthakur; J Bruce Kneeland; John D Kelly; Ravinder Reddy; Brian J Sennett
Journal:  Am J Sports Med       Date:  2016-07-27       Impact factor: 6.202

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