Literature DB >> 35782245

Preliminary study on the assessment of early cartilage degeneration by quantitative ultrashort echo time magnetic resonance imaging in vivo.

Xiaolian Su1, Yixuan Zhang2, Qiuming Gao3, Zonghui Liang4, Lidi Wan1, Lin Zhang1, Guangyu Tang1.   

Abstract

Background: To investigate the feasibility of quantitative ultrashort echo time magnetic resonance imaging (UTE-MRI) techniques for assessing early cartilage degeneration in vivo.
Methods: A total of 46 patients with knee pain due to osteoarthritis (OA) as the main complaint were recruited into the study. We performed MRI examinations with different quantitative UTE-MRI techniques, including UTE-based magnetization transfer (MT), UTE-adiabaticT1ρ, and UTE-T2* mapping on a 3.0T clinical magnetic resonance (MR) scanner (MR750; GE Healthcare, Milwaukee, WI, USA). Three regions of interest (ROIs) were manually drawn on the medial and lateral femoral condyles and the corresponding medial and lateral tibial plateaus, respectively. A total of 561 ROIs (12 ROIs for each knee) were finally included and divided into 3 groups according to the MRI Osteoarthritis Knee Score (MOAKS): normal (MOAKS 0, n=175), mild degeneration (MOAKS 1, n=283), and moderate degeneration (MOAKS 2, n=103). One-way analysis of variance (ANOVA) and Tamhane's T2 test were used to compare the differences of quantitative UTE-biomarkers among different groups. The analysis of Spearman's correlation was used to assess the correlation between the UTE-biomarkers and MOAKS grading. The diagnostic efficacy of different quantitative UTE-MRI techniques for detecting mild cartilage degeneration was evaluated using the receiver operating characteristic (ROC) curve.
Results: The UTE-MT ratio (UTE-MTR) and the UTE-adiabatic T1ρ values had a moderate correlation with the MOAKS grading (r=-0.523, P<0.001; r=0.531, P<0.001, respectively), while the UTE-T2* was weakly correlated with the MOAKS grading (r=-0.396, P<0.001). For the normal group (MOAKS 0) and the mild group (MOAKS 1), the UTE-MTR values were 21.09%±3.03% and 17.30%±3.22%, respectively. The UTE-adiabatic T1ρ values were 30.43±6.26 ms and 35.05±8.78 ms for the normal group (MOAKS 0) and the mild group (MOAKS 1), respectively. With respect to the UTE-T2* values, the normal group (MOAKS 0) values were 21.49±3.96 ms and the mild group (MOAKS 1) values were 19.86±3.08 ms. All the differences between the 2 groups of the 3 UTE-MRI values were significant. The AUCs of the UTE-MTR, UTE-adiabatic T1ρ, and UTE-T2* mapping were 0.794, 0.732, and 0.651, respectively. Conclusions: The quantitative UTE-MRI techniques (UTE-MT, UTE-adiabatic T1ρ, and UTE-T2* mapping) show great promise for assessing the early degeneration of articular cartilage in vivo, and the UTE-MT and UTE-adiabatic T1ρ values show better diagnostic efficacy than UTE-T2* mapping. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging (MRI); cartilage degeneration; in vivo; ultrashort echo time (UTE)

Year:  2022        PMID: 35782245      PMCID: PMC9246734          DOI: 10.21037/qims-21-1181

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  45 in total

1.  UTE-T2∗ mapping of human articular cartilage in vivo: a repeatability assessment.

Authors:  A Williams; Y Qian; C R Chu
Journal:  Osteoarthritis Cartilage       Date:  2010-10-28       Impact factor: 6.576

2.  Quantitative characterization of the Achilles tendon in cadaveric specimens: T1 and T2* measurements using ultrashort-TE MRI at 3 T.

Authors:  Guinel H Filho; Jiang Du; Byung C Pak; Sheronda Statum; Richard Znamorowski; Parviz Haghighi; Graeme Bydder; Christine B Chung
Journal:  AJR Am J Roentgenol       Date:  2009-03       Impact factor: 3.959

Review 3.  Ultrashort time to echo magnetic resonance techniques for the musculoskeletal system.

Authors:  Palanan Siriwanarangsun; Sheronda Statum; Reni Biswas; Won C Bae; Christine B Chung
Journal:  Quant Imaging Med Surg       Date:  2016-12

4.  Ultrashort Echo Time T1ρ Is Sensitive to Enzymatic Degeneration of Human Menisci.

Authors:  Eric Y Chang; Juliana C Campos; Won C Bae; Richard Znamirowski; Sheronda Statum; Jiang Du; Christine B Chung
Journal:  J Comput Assist Tomogr       Date:  2015 Sep-Oct       Impact factor: 1.826

5.  Patient-Reported Outcomes and Knee Mechanics Correlate With Patellofemoral Deep Cartilage UTE-T2* 2 Years After Anterior Cruciate Ligament Reconstruction.

Authors:  Ashley A Williams; Jennifer C Erhart-Hledik; Jessica L Asay; Gordhan B Mahtani; Matthew R Titchenal; Amelie M Lutz; Thomas P Andriacchi; Constance R Chu
Journal:  Am J Sports Med       Date:  2021-01-28       Impact factor: 6.202

6.  Ultrashort-echo time MR imaging of the patella with bicomponent analysis: correlation with histopathologic and polarized light microscopic findings.

Authors:  Chantal Pauli; Won C Bae; Michael Lee; Martin Lotz; Graeme M Bydder; Darryl L D'Lima; Christine B Chung; Jiang Du
Journal:  Radiology       Date:  2012-05-31       Impact factor: 11.105

7.  Evaluation of cartilage degeneration using multiparametric quantitative ultrashort echo time-based MRI: an ex vivo study.

Authors:  Hongda Shao; Jiawei Yang; Yajun Ma; Xiaolian Su; Guangyu Tang; Junjie Jiang; Jiang Du; Jianjun Liu
Journal:  Quant Imaging Med Surg       Date:  2022-03

8.  Quantitative 3D Ultrashort Echo Time Magnetization Transfer Imaging for Evaluation of Knee Cartilage Degeneration In Vivo.

Authors:  Yan-Ping Xue; Ya-Jun Ma; Mei Wu; Saeed Jerban; Zhao Wei; Eric Y Chang; Jiang Du
Journal:  J Magn Reson Imaging       Date:  2021-04-24       Impact factor: 5.119

9.  Assessment of Achilles Tendon Changes After Long-Distance Running Using Ultrashort Echo Time Magnetization Transfer MR Imaging.

Authors:  Yijie Fang; Dantian Zhu; Wenhao Wu; Wenjun Yu; Shaolin Li; Ya-Jun Ma
Journal:  J Magn Reson Imaging       Date:  2022-01-21       Impact factor: 5.119

10.  Age-related decrease in collagen proton fraction in tibial tendons estimated by magnetization transfer modeling of ultrashort echo time magnetic resonance imaging (UTE-MRI).

Authors:  Saeed Jerban; Yajun Ma; Behnam Namiranian; Aria Ashir; Hoda Shirazian; Zhao Wei; Nicole Le; Mei Wu; Zhenyu Cai; Jiang Du; Eric Y Chang
Journal:  Sci Rep       Date:  2019-11-29       Impact factor: 4.379

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