PURPOSE: To develop and compare with the classical region of interest (ROI)-based approach a fully automatic, local, and unbiased way of studying the knee T1ρ relaxation time by creating an atlas and using voxel-based relaxometry (VBR) in osteoarthritis (OA) and anterior cruciate ligament (ACL) subjects. MATERIALS AND METHODS: In this study 110 subjects from two cohorts: 1) Mild OA 40 patients with mild-OA Kellgren-Lawrence (KL) ≤ 2 and 15 controls KL ≤ 1; 2) ACL cohort (a model for early OA): 40 ACL-injured patients imaged prior to ACL reconstruction and 1-year postsurgery and 15 controls are analyzed. All the subjects were acquired at 3T with a protocol that includes: 3D-FSE (CUBE) and 3D-T1ρ . A nonrigid registration technique was applied to align all the images on a single template. This allows for performing VBR to assess local statistical differences of T1ρ values using z-score analysis. VBR results were compared with those obtained with classical ROI-based technique. RESULTS: ROI-based results from atlas-based segmentation were consistent with classical ROI-based method (coefficient of variation [CV] = 3.83%). Voxel-based group analysis revealed local patterns that were overlooked by the ROI-based approach; eg, VBR showed posterior lateral femur and posterior lateral tibia significant T1ρ elevations in ACL-injured patients (sample mean z-score=9.7 and 10.3). Those elevations were overlooked by the classical ROI-based approach (sample mean z-score=1.87 and -1.73) CONCLUSION: VBR is a feasible and accurate tool for the local evaluation of the biochemical composition of knee articular cartilage. VBR is capable of detecting specific local patterns on T1ρ maps in OA and ACL subjects.
PURPOSE: To develop and compare with the classical region of interest (ROI)-based approach a fully automatic, local, and unbiased way of studying the knee T1ρ relaxation time by creating an atlas and using voxel-based relaxometry (VBR) in osteoarthritis (OA) and anterior cruciate ligament (ACL) subjects. MATERIALS AND METHODS: In this study 110 subjects from two cohorts: 1) Mild OA 40 patients with mild-OA Kellgren-Lawrence (KL) ≤ 2 and 15 controls KL ≤ 1; 2) ACL cohort (a model for early OA): 40 ACL-injured patients imaged prior to ACL reconstruction and 1-year postsurgery and 15 controls are analyzed. All the subjects were acquired at 3T with a protocol that includes: 3D-FSE (CUBE) and 3D-T1ρ . A nonrigid registration technique was applied to align all the images on a single template. This allows for performing VBR to assess local statistical differences of T1ρ values using z-score analysis. VBR results were compared with those obtained with classical ROI-based technique. RESULTS: ROI-based results from atlas-based segmentation were consistent with classical ROI-based method (coefficient of variation [CV] = 3.83%). Voxel-based group analysis revealed local patterns that were overlooked by the ROI-based approach; eg, VBR showed posterior lateral femur and posterior lateral tibia significant T1ρ elevations in ACL-injured patients (sample mean z-score=9.7 and 10.3). Those elevations were overlooked by the classical ROI-based approach (sample mean z-score=1.87 and -1.73) CONCLUSION: VBR is a feasible and accurate tool for the local evaluation of the biochemical composition of knee articular cartilage. VBR is capable of detecting specific local patterns on T1ρ maps in OA and ACL subjects.
Authors: X Li; V Pedoia; D Kumar; J Rivoire; C Wyatt; D Lansdown; K Amano; N Okazaki; D Savic; M F Koff; J Felmlee; S L Williams; S Majumdar Journal: Osteoarthritis Cartilage Date: 2015-07-15 Impact factor: 6.576
Authors: Jenny Folkesson; Erik B Dam; Ole F Olsen; Paola C Pettersen; Claus Christiansen Journal: IEEE Trans Med Imaging Date: 2007-01 Impact factor: 10.048
Authors: R B Souza; D Kumar; N Calixto; J Singh; J Schooler; K Subburaj; X Li; T M Link; S Majumdar Journal: Osteoarthritis Cartilage Date: 2014-04-30 Impact factor: 6.576
Authors: M Peller; K E Zeuner; A Munchau; A Quartarone; M Weiss; A Knutzen; M Hallett; G Deuschl; H R Siebner Journal: Brain Date: 2006-07-19 Impact factor: 13.501
Authors: Pierre Dodin; Jean-Pierre Pelletier; Johanne Martel-Pelletier; François Abram Journal: IEEE Trans Biomed Eng Date: 2010-07-15 Impact factor: 4.538
Authors: Julio Carballido-Gamio; Jan S Bauer; Robert Stahl; Keh-Yang Lee; Stefanie Krause; Thomas M Link; Sharmila Majumdar Journal: Med Image Anal Date: 2007-08-31 Impact factor: 8.545
Authors: Leon Lenchik; Laura Heacock; Ashley A Weaver; Robert D Boutin; Tessa S Cook; Jason Itri; Christopher G Filippi; Rao P Gullapalli; James Lee; Marianna Zagurovskaya; Tara Retson; Kendra Godwin; Joey Nicholson; Ponnada A Narayana Journal: Acad Radiol Date: 2019-08-10 Impact factor: 3.173
Authors: Christian Lattermann; Cale A Jacobs; Emily K Reinke; Erica A Scaramuzza; Laura J Huston; Warren R Dunn; Kurt P Spindler Journal: Cartilage Date: 2016-07-08 Impact factor: 4.634
Authors: Gabby B Joseph; Charles E McCulloch; Michael C Nevitt; Jan Neumann; Alexandra S Gersing; Martin Kretzschmar; Benedikt J Schwaiger; John A Lynch; Ursula Heilmeier; Nancy E Lane; Thomas M Link Journal: J Magn Reson Imaging Date: 2017-11-16 Impact factor: 4.813