scholarly journals Practical Approaches to Bone Marrow Fat Fraction Quantification Across Magnetic Resonance Imaging Platforms

2020 ◽  
Vol 52 (1) ◽  
pp. 298-306 ◽  
Author(s):  
Alan Bainbridge ◽  
Timothy J.P. Bray ◽  
Raj Sengupta ◽  
Margaret A. Hall‐Craggs
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Marrow Fat ◽  
Bone Marrow Fat ◽  
Fat Fraction

scholarly journals Comparison among T1-Weighted Magnetic Resonance Imaging, Modified Dixon Method, and Magnetic Resonance Spectroscopy in Measuring Bone Marrow Fat

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Wei Shen ◽  
Xiuqun Gong ◽  
Jessica Weiss ◽  
Ye Jin
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Resonance Imaging ◽  
Marrow Fat ◽  
Bone Marrow Fat ◽  
Dixon Method ◽  
Weighted Magnetic Resonance Imaging ◽  
Fat Fraction

Introduction. An increasing number of studies are utilizing different magnetic resonance (MR) methods to quantify bone marrow fat due to its potential role in osteoporosis. Our aim is to compare the measurements of bone marrow fat among T1-weighted magnetic resonance imaging (MRI), modified Dixon method (also called fat fraction MRI (FFMRI)), and magnetic resonance spectroscopy (MRS).Methods. Contiguous MRI scans were acquired in 27 Caucasian postmenopausal women with a modified Dixon method (i.e., FFMRI). Bone marrow adipose tissue (BMAT) of T1-weighted MRI and bone marrow fat fraction of the L3 vertebra and femoral necks were quantified using SliceOmatic and Matlab. MRS was also acquired at the L3 vertebra.Results. Correlation among the three MR methods measured bone marrow fat fraction and BMAT ranges from 0.78 to 0.88 in the L3 vertebra. Correlation between BMAT measured by T1-weighted MRI and bone marrow fat fraction measured by modified FFMRI is 0.86 in femoral necks.Conclusion. There are good correlations among T1-weighted MRI, FFMRI, and MRS for bone marrow fat quantification. The inhomogeneous distribution of bone marrow fat, the threshold segmentation of the T1-weighted MRI, and the ambiguity of the FFMRI may partially explain the difference among the three methods.

scholarly journals The Role of Bone Marrow Fat in Skeletal Health: Usefulness and Perspectives for Clinicians

2015 ◽  
Vol 100 (10) ◽  
pp. 3613-3621 ◽  
Author(s):  
Julien Paccou ◽  
Pierre Hardouin ◽  
Anne Cotten ◽  
Guillaume Penel ◽  
Bernard Cortet
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Metabolic Diseases ◽  
Negative Relationship ◽  
Resonance Imaging ◽  
Mineral Density ◽  
Marrow Fat ◽  
Bone Marrow Fat ◽  
The Relationship

Context: There is growing interest in the relationship between bone marrow fat (BMF), bone mineral density (BMD), and fractures. Moreover, BMF might be influenced by metabolic diseases associated with bone loss and fractures, such as type 2 diabetes mellitus (T2DM), anorexia nervosa (AN), and obesity. Methods: The primary-source literature for this review was acquired using a PubMed search for articles published between January 2000 and April 2015. Search terms included BMF, BMD, fractures, T2DM, AN, and obesity. The titles and abstracts of all articles were reviewed for relevant subjects. Results: Magnetic resonance imaging, with or without spectroscopy, was used to noninvasively quantify BMF in humans. A negative relationship was found between BMD and BMF in both healthy and osteopenic/osteoporotic populations. Data are lacking on the relationship between BMF and fractures. Studies in populations of individuals with metabolic diseases such as T2DM, AN, and obesity have shown BMF abnormalities. Conclusions: We conclude that most human data demonstrate an inverse relationship between BMF and BMD, but data on the relationship with fractures are inconsistent and need further study. In daily practice, the usefulness for clinicians of assessing BMF using magnetic resonance imaging is still limited. However, the perspectives are exciting, particularly in terms of improving the diagnosis and management of osteoporosis.

Bone Marrow Multiparametric Magnetic Resonance Imaging with Texture Analysis for Follow-up of Advanced Stage Myelofibrosis after Transplantation

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 3-4
Author(s):  
Massimiliano Gambella ◽  
Federico Zaottini ◽  
Stefania Bregante ◽  
Riccardo Picasso ◽  
Emanuele Barabino ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Texture Analysis ◽  
Triple Negative ◽  
Resonance Imaging ◽  
Trephine Biopsy ◽  
Post Transplant ◽  
Adc Values ◽  
Fat Fraction

Introduction Hematopoietic cell transplantation (HCT) is a potentially curative treatment in myelofibrosis (MF). Nevertheless, in at least one-third of patients, a reliable parameter for disease response is lacking due to the absence of a molecular marker (in triple-negative MF) or the suboptimal sensitivity for CALR and MPL monitoring with routinely used PCR methods. Trephine biopsy provides a limited histological description, as it does not represent the fibrosis and/or blast eradication status of the entire bone marrow. The aim of this study is to identify magnetic resonance imaging (MRI) biomarkers that reflect response to transplant and may serve as predictors of transplant efficacy. Methods We report the case of a 45-year-old man diagnosed with triple-negative MF who was eligible for HCT following progression after a previous procedure. A pre-transplant trephine biopsy showed grade III fibrosis, according to the WHO 2016 classification. CD34+ cells were found to comprise 10%-15% of cells. He underwent MRI 8 days before bone marrow transplantation from a haploidentical donor. A second, comparative MRI was performed 6 months after HCT; concurrent chimerism was estimated through Short Tandem Repeats (STRs) analysis. A multiparametric protocol was applied, including intravoxel incoherent motion (IVIM) diffusion-weighted imaging, Dixon GRE with fat fraction calculation, and Turbo Spin Echo T1 and STIR sequences. MRI examination was performed on a 3 Tesla MRI machine and included lumbar segments L4 and L5, pelvis, sacral bone, and coccyx. A phased-array surface coil was applied to optimize signal-to-noise ratio. Finally, radiomics and texture analysis were performed on ADC sequences using specific image software post-analysis (Slicer 3D v.4.10.2). Results The selected MRI parameters showed substantial modifications between the first and second exams. T1 and STIR sequences demonstrated a decrease in bone marrow fibrosis (Figure 1). ADC values increased at pre-specified target points (iliac crest, pre-transplant: 0.762, post-transplant: 0.901; femur, pre-transplant: 0.77, post-transplant: 0.808). Moreover, among 300 features analyzed (Figure 2), 20 presented changes potentially related with bone marrow restoration. Concomitant STRs analysis showed a full donor chimerism status. Conclusions To the best of our knowledge, this is the first case of functional, textural analysis-based MRI employed in transplanted MF. Multiparametric MRI data, including anatomical and functional sequences (particularly IVIM with texture analysis of ADC values and Dixon with fat fraction calculation) may represent valuable biomarkers for accurate detection of bone marrow engraftment and chimerism. Disclosures No relevant conflicts of interest to declare.

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