In vivo T1ρ and T2 mapping of articular cartilage in osteoarthritis of the knee using 3T MRI

Li, Xiaojuan; Benjamin, C.; Link, Thomas M.; Castillo, Darwin-Dean; Blumenkrantz, Gabrielle; Lozano, Jesus; Carballido‐Gamio, Julio; Ries, Michael D.; Majumdar, Sharmila

doi:10.1016/j.joca.2007.01.011

Cited by 449 publications

(586 citation statements)

References 47 publications

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“…T 1r mapping has been shown to be comparable to arthroscopy in detecting preradiographic damage after trauma [112]. T 1r measures are also more sensitive and have a larger dynamic range than T 2 mapping [34,56,57]. Because of the improved sensitivity of T 1r values in distinguishing levels of cartilage damage [34,57], T 1r showed significant differences between healthy controls and OA patients with pre-radiographic and radiographic cartilage damage [53,54], with T 1r differences being more significant than differences in T 2 [53].…”

Section: T 1r Mappingmentioning

confidence: 99%

“…T 1r measures are also more sensitive and have a larger dynamic range than T 2 mapping [34,56,57]. Because of the improved sensitivity of T 1r values in distinguishing levels of cartilage damage [34,57], T 1r showed significant differences between healthy controls and OA patients with pre-radiographic and radiographic cartilage damage [53,54], with T 1r differences being more significant than differences in T 2 [53]. T 1r , but not T 2 , was found to be elevated in patients about to undergo rsif.royalsocietypublishing.org J R Soc Interface 10: 20120608 anterior cruciate ligament surgery [113], showing that T 1r may be more sensitive at revealing cartilage damage.…”

Section: T 1r Mappingmentioning

confidence: 99%

“…A significant thrust in much of the qMRI literature is towards the correlation of various qMRI values to biochemical content, typically determined in explants through histology [14,26 -30,41,42,50-52,107], and to pain score or OA grade [39,43,44,48,54,56,57,90,126]. A number of groups have applied qMRI techniques to evaluate the differences between cartilage in normal subjects and patients with higher OA risk [43 -45,87,101].…”

Section: Shifting the Paradigm Towards Diagnosis Of Osteoarthritis Inmentioning

confidence: 99%

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Probing articular cartilage damage and disease by quantitative magnetic resonance imaging

Chan

Neu

2013

J. R. Soc. Interface.

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Osteoarthritis (OA) is a debilitating disease that reflects a complex interplay of biochemical, biomechanical, metabolic and genetic factors, which are often triggered by injury, and mediated by inflammation, catabolic cytokines and enzymes. An unmet clinical need is the lack of reliable methods that are able to probe the pathogenesis of early OA when disease-rectifying therapies may be most effective. Non-invasive quantitative magnetic resonance imaging (qMRI) techniques have shown potential for characterizing the structural, biochemical and mechanical changes that occur with cartilage degeneration. In this paper, we review the background in articular cartilage and OA as it pertains to conventional MRI and qMRI techniques. We then discuss how conventional MRI and qMRI techniques are used in clinical and research environments to evaluate biochemical and mechanical changes associated with degeneration. Some qMRI techniques allow for the use of relaxometry values as indirect biomarkers for cartilage components. Direct characterization of mechanical behaviour of cartilage is possible via other specialized qMRI techniques. The combination of these qMRI techniques has the potential to fully characterize the biochemical and biomechanical states that represent the initial changes associated with cartilage degeneration. Additionally, knowledge of in vivo cartilage biochemistry and mechanical behaviour in healthy subjects and across a spectrum of osteoarthritic patients could lead to improvements in the detection, management and treatment of OA.

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Section: T 1r Mappingmentioning

confidence: 99%

Section: T 1r Mappingmentioning

confidence: 99%

Section: Shifting the Paradigm Towards Diagnosis Of Osteoarthritis Inmentioning

confidence: 99%

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Probing articular cartilage damage and disease by quantitative magnetic resonance imaging

Chan

Neu

2013

J. R. Soc. Interface.

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“…Chemical exchange on proteoglycan and water protons was suggested to contribute to T 1ρ in cartilage, although T 1ρ changes in cartilage may be affected by hydration and collagen structure as well (7). T 1ρ quantification was adopted in previous study to detect early signs of OA (8)(9)(10). Additionally, T 1ρ quantification has been used in the attempt to stratify subjects at risk of developing post-traumatic osteoarthritis (PTOA) following anterior cruciate ligament (ACL) injury and reconstruction (11,12).…”

Section: Introductionmentioning

confidence: 99%

Principal component analysis-T1ρ voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects

Pedoia¹,

Russell²,

Randolph³

et al. 2016

Quant. Imaging Med. Surg.

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Background: Quantitative MR, including T 1ρ mapping, has been extensively used to probe early biochemical changes in knee articular cartilage of subjects with osteoarthritis (OA) and others at risk for cartilage degeneration, such as those with anterior cruciate ligament (ACL) injury and reconstruction.However, limited studies have been performed aimed to assess the spatial location and patterns of T 1ρ . In this study we used a novel voxel-based relaxometry (VBR) technique coupled with principal component analysis (PCA) to extract relevant features so as to describe regional patterns and to investigate their similarities and differences in T 1ρ maps in subjects with OA and subjects six months after ACL reconstruction (ACLR).Methods: T 1ρ quantitative MRI images were collected for 180 subjects from two separate cohorts. The OA cohort included 93 osteoarthritic patients and 25 age-matched controls. The ACLR-6M cohort included 52 patients with unilateral ACL tears who were imaged 6 months after ACL reconstruction, and 10 agematched controls. Non-rigid registration on a single template and local Z-score conversion were adopted for T 1ρ spatial and intensity normalization of all the images in the dataset. PCA was used as a data dimensionality reduction to obtain a description of all subjects in a 10-dimensional feature space. Logistic linear regression was used to identify distinctive features of OA and ACL subjects Conclusions: This study is the first example of T 1ρ local/regional pattern analysis and data-driven feature extraction in knees with cartilage degeneration. Our results revealed similarities and differences between OA and ACL relaxation patterns that could be potentially useful to better understand the pathogenesis of posttraumatic cartilage degeneration and the identification of imaging biomarkers for the early stratification of subjects at risk for developing post-traumatic OA.

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“…MRI systems produce high resolution and high contrast images and have no radiation exposures which are from CT (Computed Tomography). The joint MR imaging with multi-echo pulse sequence has been introduced to access biochemical changes in cartilage degeneration and osteoarthritis [1,2,3]. However, multi-echo MR images needs longer acquisition time compared to CT and exhibits flow-artifacts near the joint regions and motion-artifacts in the digestive systems of the human body.…”

Section: Introductionmentioning

confidence: 99%

A novel noise removal using homomorphic normalization for multi-echo knee MRI

Cui

Kim

Hong

et al. 2011

IEICE Electron. Express

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This paper presents a novel approach for removing noise from multi-echo knee magnetic resonance images using global intensity normalization and the averaging operation along the echo-time. Firstly, the global mean and standard deviation at the zero echo-time are estimated by applying the mono-exponential spin echo model to the means and standard deviations of multi-echo images. Secondly, the signal and noise levels at multi-echo images are normalized to the estimated mean and standard deviation at the zero echo-time. Then, the normalized multi-echo images are averaged along the echo-time into a noise-removed zero echo-time image. Finally, the multi-echo MR images are reconstructed from the noise-removed zero echo-time image by the inverse normalization. The experiments demonstrate that the proposed method effectively removes not only the noises of each multi-echo image but also noises of the Quantitative T2 image.

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In vivo T1ρ and T2 mapping of articular cartilage in osteoarthritis of the knee using 3T MRI

Cited by 449 publications

References 47 publications

Probing articular cartilage damage and disease by quantitative magnetic resonance imaging

Probing articular cartilage damage and disease by quantitative magnetic resonance imaging

Principal component analysis-T1ρ voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects

A novel noise removal using homomorphic normalization for multi-echo knee MRI

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