Vertebral Bone Mineral Density, Marrow Perfusion, and Fat Content in Healthy Men and Men with Osteoporosis: Dynamic Contrast-enhanced MR Imaging and MR Spectroscopy

Griffith, James F.; Yeung, David W. K.; Antonio, Gregory E.; Lee, Francis K.H.; Hong, Athena; Wong, Samuel Yeung Shan; Lau, Edith M. C.; Leung, Ping Chung

doi:10.1148/radiol.2363041425

Cited by 398 publications

(385 citation statements)

References 18 publications

Supporting

Mentioning

339

Contrasting

Unclassified

Order By: Relevance

“…It is interesting that this percentage decreases with increasing fat content, implying that fatty marrow is associated with reduced trabecular bone mass. A similar relation between bone density and fat content has been reported previously using different methodology [18].…”

Section: Discussionsupporting

confidence: 87%

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

MacEwan¹,

Glembotski

D’Lima

et al. 2014

Magnetic Resonance Imaging

View full text Add to dashboard Cite

The purpose of this study was to evaluate a magnetic resonance imaging (MRI) technique for quantifying the proton density water fraction (PDWF) as a biomarker of bone marrow cellularity. Thirty-six human bone marrow specimens from 18 donors were excised and subjected to different measurements of tissue composition: PDWF quantification using a multiple gradient echo MRI technique, three biochemical assays (triglyceride, total lipid and water content) and a histological assessment of cellularity. Results showed a strong correlation between PDWF and bone marrow cellularity from histology (r = 0.72). A strong correlation was also found between PDWF and the biochemical assay of water content (r = 0.76). These results suggest the PDWF is a predictor of bone marrow cellularity in tissues and can provide a non-invasive assessment of bone marrow changes in clinical patients undergoing radiotherapy.

show abstract

Section: Discussionsupporting

confidence: 87%

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

MacEwan¹,

Glembotski

D’Lima

et al. 2014

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…(iv) There was an inverse correlation between marrow fat fraction and BMD in both the vertebrae and the proximal femur (r ¼ À0.32, P < 0.005 and r ¼ À0.36, P < 0.001, respectively). These associations have since been corroborated in more recent studies (73,74).…”

Section: Clinical Studiessupporting

confidence: 63%

Quantitative MRI for the assessment of bone structure and function

et al. 2006

View full text Add to dashboard Cite

Osteoporosis is the most common degenerative disease in the elderly. It is characterized by low bone mass and structural deterioration of bone tissue, leading to morbidity and increased fracture risk in the hip, spine and wrist-all sites of predominantly trabecular bone. Bone densitometry, currently the standard methodology for diagnosis and treatment monitoring, has significant limitations in that it cannot provide information on the structural manifestations of the disease. Recent advances in imaging, in particular MRI, can now provide detailed insight into the architectural consequences of disease progression and regression in response to treatment. The focus of this review is on the emerging methodology of quantitative MRI for the assessment of structure and function of trabecular bone. During the past 10 years, various approaches have been explored for obtaining image-based quantitative information on trabecular architecture. Indirect methods that do not require resolution on the scale of individual trabeculae and therefore can be practiced at any skeletal location, make use of the induced magnetic fields in the intertrabecular space. These fields, which have their origin in the greater diamagnetism of bone relative to surrounding marrow, can be measured in various ways, most typically in the form of R 0 2 , the recoverable component of the total transverse relaxation rate. Alternatively, the trabecular network can be quantified by high-resolution MRI (m-MRI), which requires resolution adequate to at least partially resolve individual trabeculae. Micro-MRI-based structure analysis is therefore technically demanding in terms of image acquisition and algorithms needed to extract the structural information under conditions of limited signal-to-noise ratio and resolution. Other requirements that must be met include motion correction and image registration, both critical for achieving the reproducibility needed in repeat studies. Key clinical applications targeted involve fracture risk prediction and evaluation of the effect of therapeutic intervention.

show abstract

“…It also has some disadvantages due to its projectional nature including sensitivity to aortic calcifications, degenerative and osteoarthritic changes. In the recent years, dynamic contrast-enhanced magnetic resonance imaging, magnetic resonance spectroscopy, and diffusion-weighted imaging have been investigated for their potential diagnostic value in evaluation of bone strength and osteoporosis by means of bone marrow fat composition (23)(24)(25). Still, the findings of these studies need further corroboration in larger series (23).…”

Section: Discussionmentioning

confidence: 99%

Vertebral body bone mineral density in patients with lumbar spondylolysis: a quantitative CT

Gezer

Balcı²,

Kalemcı³

et al. 2017

Diagn Interv Radiol

View full text Add to dashboard Cite

Vertebral Bone Mineral Density, Marrow Perfusion, and Fat Content in Healthy Men and Men with Osteoporosis: Dynamic Contrast-enhanced MR Imaging and MR Spectroscopy

Cited by 398 publications

References 18 publications

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

Proton density water fraction as a biomarker of bone marrow cellularity: Validation in ex vivo spine specimens

Quantitative MRI for the assessment of bone structure and function

Vertebral body bone mineral density in patients with lumbar spondylolysis: a quantitative CT

Contact Info

Product

Resources

About