X Zhang1, Y-J Ma2, Z Wei2, M Wu2, A Ashir2, S Jerban2, S Li3, E Y Chang4, J Du5. 1. University of California San Diego, San Diego, CA, United States; Department of Radiology, The Third Affiliated Hospital of Southern Medical University, China. 2. University of California San Diego, San Diego, CA, United States. 3. Department of Radiology, The Fifth Affiliated Hospital of Sun Yet-sen University, Zhuhai, China. 4. Veterans Affairs San Diego Healthcare System, San Diego, CA, United States; University of California San Diego, San Diego, CA, United States. 5. University of California San Diego, San Diego, CA, United States. Electronic address: jiangdu@ucsd.edu.
Abstract
OBJECTIVE: Meniscal degeneration is strongly associated with osteoarthritis (OA). We aimed to evaluate a 3D ultrashort-echo-time Cones magnetization transfer (UTE-Cones-MT) sequence for quantification of macromolecular fraction (MMF) and MT ratio (MTR) in menisci of healthy volunteers and patients with different degrees of OA. METHODS: Patients with mild OA (n = 19; 37-86 years; 10 males) or advanced OA (n = 12; 52-88 years; 4 males) and healthy volunteers (n = 17; 20-49 years; 7 males) were scanned with T2-FSE and UTE-Cones-MT sequences at 3T. Morphological assessment was performed using meniscal whole-organ magnetic resonance imaging score (WORMS). MMF and MTR were calculated for menisci, and correlated with age and meniscal WORMS scores. The diagnostic efficiency was performed by using receiver operating characteristic (ROC) curve and the area under the curve (AUC) analyses. RESULTS: Decreased MMF and MTR were observed in menisci of patients with mild or advanced OA compared with healthy subjects, and in menisci with tears (Grade 2-4) compared with normal menisci (Grade 0). Significant negative correlations were observed between MMF (r = -0.769, P < 0.01), MTR (r = -0.320, P < 0.01), and meniscal WORMS score. There was a mild negative correlation between MMF (r = -0.438, P < 0.01), MTR (r = -0.289, P < 0.01), and age. The AUC values of MMF and MTR in the four horns of meniscus and the posterior horn medial meniscus for differentiating OA patients from healthy volunteers were 0.762 and 0.699, and 0.835 and 0.883, respectively. CONCLUSION: The 3D UTE-Cones-MT biomarkers of MTR and especially MMF can detect compositional changes in meniscus and differentiate healthy subjects from patients with mild or advanced knee OA.
OBJECTIVE: Meniscal degeneration is strongly associated with osteoarthritis (OA). We aimed to evaluate a 3D ultrashort-echo-time Cones magnetization transfer (UTE-Cones-MT) sequence for quantification of macromolecular fraction (MMF) and MT ratio (MTR) in menisci of healthy volunteers and patients with different degrees of OA. METHODS: Patients with mild OA (n = 19; 37-86 years; 10 males) or advanced OA (n = 12; 52-88 years; 4 males) and healthy volunteers (n = 17; 20-49 years; 7 males) were scanned with T2-FSE and UTE-Cones-MT sequences at 3T. Morphological assessment was performed using meniscal whole-organ magnetic resonance imaging score (WORMS). MMF and MTR were calculated for menisci, and correlated with age and meniscal WORMS scores. The diagnostic efficiency was performed by using receiver operating characteristic (ROC) curve and the area under the curve (AUC) analyses. RESULTS: Decreased MMF and MTR were observed in menisci of patients with mild or advanced OA compared with healthy subjects, and in menisci with tears (Grade 2-4) compared with normal menisci (Grade 0). Significant negative correlations were observed between MMF (r = -0.769, P < 0.01), MTR (r = -0.320, P < 0.01), and meniscal WORMS score. There was a mild negative correlation between MMF (r = -0.438, P < 0.01), MTR (r = -0.289, P < 0.01), and age. The AUC values of MMF and MTR in the four horns of meniscus and the posterior horn medial meniscus for differentiating OA patients from healthy volunteers were 0.762 and 0.699, and 0.835 and 0.883, respectively. CONCLUSION: The 3D UTE-Cones-MT biomarkers of MTR and especially MMF can detect compositional changes in meniscus and differentiate healthy subjects from patients with mild or advanced knee OA.
Authors: Jiang Du; Michael Carl; Eric Diaz; Atsushi Takahashi; Eric Han; Nikolaus M Szeverenyi; Christine B Chung; Graeme M Bydder Journal: Magn Reson Med Date: 2010-09 Impact factor: 4.668
Authors: Marc A Laberge; Thomas Baum; Warapat Virayavanich; Lorenzo Nardo; M C Nevitt; J Lynch; C E McCulloch; Thomas M Link Journal: Skeletal Radiol Date: 2011-09-02 Impact factor: 2.199
Authors: Timothy J Mosher; Zheng Zhang; Ravinder Reddy; Sanaa Boudhar; Barton N Milestone; William B Morrison; C Kent Kwoh; Felix Eckstein; Walter R T Witschey; Arijitt Borthakur Journal: Radiology Date: 2011-01-06 Impact factor: 11.105
Authors: A W Kajabi; V Casula; M J Nissi; A Peuna; J Podlipská; E Lammentausta; S Saarakkala; A Guermazi; M T Nieminen Journal: Osteoarthritis Cartilage Date: 2017-12-18 Impact factor: 6.576
Authors: Mei Wu; Wei Zhao; Lidi Wan; Lena Kakos; Liang Li; Saeed Jerban; Hyungseok Jang; Eric Y Chang; Jiang Du; Ya-Jun Ma Journal: NMR Biomed Date: 2019-11-12 Impact factor: 4.044
Authors: Christopher D J Sinclair; Rebecca S Samson; David L Thomas; Nikolaus Weiskopf; Antoine Lutti; John S Thornton; Xavier Golay Journal: Magn Reson Med Date: 2010-07-27 Impact factor: 4.668