Literature DB >> 33532264

Evaluation of bone marrow infiltration in multiple myeloma using whole-body diffusion-weighted imaging and T1-weighted water-fat separation Dixon.

Xiaodong Ji1,2, Wenyang Huang3, Huazheng Dong4, Zhiwei Shen5, Meizhu Zheng6, Dehui Zou3, Wen Shen2, Shuang Xia2.   

Abstract

BACKGROUND: Multiple myeloma (MM) is a blood cancer caused by the unlimited proliferation of intramedullary plasma cells. The presence of focal lesions (FLs) is presumed to be a more relevant factor for patient outcomes and risk distribution than diffuse bone marrow signal abnormalities. Signal changes in these FLs also have a good correlation with prognosis. As the cell density increased, a lower apparent diffusion coefficient (ADC) value was found with the diffusion-weighted imaging (DWI) sequence. Therefore, whole-body magnetic resonance imaging (MRI) with DWI sequences is sensitive to cell density and viability and may be vital for disease detection and therapy response assessments. However, the correlation between the DWI signal and the degree of bone destruction and the proportion of bone marrow plasma cells (BMPC) was still unclear in patients with MM. Water-fat separation MRI is used mainly for evaluating liver and bone marrow fat quantification, and fat quantification in other diseases. Meanwhile, it is also possible to assess the extent of bone marrow invasion in medullary lesions. This study aimed to investigate the correlation between ADC values from whole-body DWI and water/fat MRI signals from T1-weighted water-fat separation in evaluating bone marrow infiltration in patients with MM.
METHODS: The study included 35 patients with MM who underwent whole-body DWI and T1-weighted water-fat separation Dixon examinations before therapy. The ADC values, normalized fat signal intensity (nMfat), normalized water molecular signal intensity (nMwater), and normalized fat fraction (nFF) of the thoracolumbar spine was measured in FLs and the normal-appearing bone marrow (NABM). The differences in values were compared using the independent-samples t-test. The correlation between ADC values and water-fat MRI signals was estimated using the Pearson or Spearman correlation test. The correlation between the MRI above parameters and proportions of BMPC was also explored.
RESULTS: Statistically significant differences were found between the mean ADC values in FLs and NABM (0.72 vs. 0.33 mm2/s, P<0.0001). Significantly elevated nMwater values and decreased nMfat and nFF values were observed in FLs; no correlations were found in NABM (P>0.05). The ADC value highly correlated with nMfat and nFF values and moderately with the nMwater value in FLs (r=-0.899, -0.834, 0.642, respectively, P<0.0001). Correlations were also observed between the proportion of BMPC and MRI parameters in MM (r=0.984, 0.716, -0.938, and -0.905, respectively, P<0.05).
CONCLUSIONS: The ADC value combined with water-fat separation parameters could be used for evaluating thoracolumbar bone marrow infiltration in MM. All parameters correlated with the proportion of BMPC, which helped assess the early response in MM therapy. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient (ADC); multiple myeloma (MM); normalized fat fraction (nFF); water-fat separation Dixon technique; whole-body diffusion-weighted imaging (whole-body DWI)

Year:  2021        PMID: 33532264      PMCID: PMC7779908          DOI: 10.21037/qims-20-289

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  31 in total

1.  Apparent diffusion coefficient and fractional anisotropy in the vertebral bone marrow.

Authors:  Yu Ueda; Tosiaki Miyati; Naoki Ohno; Yuko Motono; Masaki Hara; Yuta Shibamoto; Harumasa Kasai; Hideaki Kawamitsu; Kosuke Matsubara
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

2.  Consistent intensity inhomogeneity correction in water-fat MRI.

Authors:  Thord Andersson; Thobias Romu; Anette Karlsson; Bengt Norén; Mikael F Forsgren; Örjan Smedby; Stergios Kechagias; Sven Almer; Peter Lundberg; Magnus Borga; Olof Dahlqvist Leinhard
Journal:  J Magn Reson Imaging       Date:  2014-10-30       Impact factor: 4.813

3.  Multiparametric analysis of bone marrow in cancer patients using simultaneous PET/MR imaging: Correlation of fat fraction, diffusivity, metabolic activity, and anthropometric data.

Authors:  Christina Schraml; Marinus Schmid; Sergios Gatidis; Holger Schmidt; Christian la Fougère; Konstantin Nikolaou; Nina F Schwenzer
Journal:  J Magn Reson Imaging       Date:  2015-02-12       Impact factor: 4.813

4.  Assessment of whole spine vertebral bone marrow fat using chemical shift-encoding based water-fat MRI.

Authors:  Thomas Baum; Samuel P Yap; Michael Dieckmeyer; Stefan Ruschke; Holger Eggers; Hendrik Kooijman; Ernst J Rummeny; Jan S Bauer; Dimitrios C Karampinos
Journal:  J Magn Reson Imaging       Date:  2015-02-02       Impact factor: 4.813

5.  Differentiation of focal indeterminate marrow abnormalities with multiparametric MRI.

Authors:  Jun Seung Baik; Joon-Yong Jung; Won-Hee Jee; Chang-Woo Chun; Sun Ki Kim; Seung Han Shin; Yang Guk Chung; Chan-Kwon Jung; Stephan Kannengiesser; YoHan Sohn
Journal:  J Magn Reson Imaging       Date:  2016-11-09       Impact factor: 4.813

6.  18F-FDG PET/CT for detection and localization of residual or recurrent disease in patients with multiple myeloma after stem cell transplantation.

Authors:  Thorsten Derlin; Christoph Weber; Christian R Habermann; Jochen Herrmann; Christian Wisotzki; Francis Ayuk; Christine Wolschke; Susanne Klutmann; Nicolaus Kröger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-24       Impact factor: 9.236

7.  Prospective Evaluation of Magnetic Resonance Imaging and [18F]Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography at Diagnosis and Before Maintenance Therapy in Symptomatic Patients With Multiple Myeloma Included in the IFM/DFCI 2009 Trial: Results of the IMAJEM Study.

Authors:  Philippe Moreau; Michel Attal; Denis Caillot; Margaret Macro; Lionel Karlin; Laurent Garderet; Thierry Facon; Lotfi Benboubker; Martine Escoffre-Barbe; Anne-Marie Stoppa; Kamel Laribi; Cyrille Hulin; Aurore Perrot; Gerald Marit; Jean-Richard Eveillard; Florence Caillon; Caroline Bodet-Milin; Brigitte Pegourie; Veronique Dorvaux; Carine Chaleteix; Kenneth Anderson; Paul Richardson; Nikhil C Munshi; Herve Avet-Loiseau; Aurelie Gaultier; Jean-Michel Nguyen; Benoit Dupas; Eric Frampas; Françoise Kraeber-Bodere
Journal:  J Clin Oncol       Date:  2017-07-07       Impact factor: 44.544

8.  The utility of newer imaging techniques as predictors of clinical outcomes in multiple myeloma.

Authors:  Annamaria Brioli; Gareth J Morgan; Brian Durie; Elena Zamagni
Journal:  Expert Rev Hematol       Date:  2014-01-10       Impact factor: 2.929

Review 9.  PET Imaging for Initial Staging and Therapy Assessment in Multiple Myeloma Patients.

Authors:  Clément Bailly; Rodolphe Leforestier; Bastien Jamet; Thomas Carlier; Mickael Bourgeois; François Guérard; Cyrille Touzeau; Philippe Moreau; Michel Chérel; Françoise Kraeber-Bodéré; Caroline Bodet-Milin
Journal:  Int J Mol Sci       Date:  2017-02-18       Impact factor: 5.923

10.  Extraocular muscle sampled volume in Graves' orbitopathy using 3-T fast spin-echo MRI with iterative decomposition of water and fat sequences.

Authors:  Ludovico M Garau; Daniele Guerrieri; Flaminia De Cristofaro; Alice Bruscolini; Giuseppe Panzironi
Journal:  Acta Radiol Open       Date:  2018-06-25
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  2 in total

1.  Assessment of facial autologous fat grafts using Dixon magnetic resonance imaging.

Authors:  Xueyin Liao; Xiaoqi Wang; Zhentan Xu; Shiwei Guo; Congmin Gu; Zhengyu Jin; Tong Su; Yu Chen; Huadan Xue; Mingyong Yang
Journal:  Quant Imaging Med Surg       Date:  2022-05

2.  Application of urine immunofixation electrophoresis in prognostic evaluation of hematopoietic stem cell transplantation in patients with myeloma.

Authors:  Shanshan Zhu; Chao Yang; Wei Li; Meilin Lin
Journal:  Pak J Med Sci       Date:  2022 Jan-Feb       Impact factor: 1.088

  2 in total

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