Literature DB >> 21610504

Quantitative analysis of the diffusion-weighted steady-state free precession signal in vertebral bone marrow lesions.

Andreas Biffar1, Andrea Baur-Melnyk, Gerwin P Schmidt, Maximilian F Reiser, Olaf Dietrich.   

Abstract

OBJECTIVES: : Diffusion-weighted steady-state free precession (DW-SSFP) sequences have shown great potential for the differential diagnosis of benign osteoporotic and malignant neoplastic vertebral compression fractures, which appear hypo- to isointense or hyperintense in DW-SSFP magnetic resonance imaging, respectively. In contrast to other diffusion weighting sequences, the DW-SSFP signal depends not only on the apparent diffusion coefficient (ADC), but also on the tissue relaxation times and sequence parameters. The purpose of the present study was to provide a detailed analysis of the DW-SSFP signal in benign and malignant vertebral lesions (VLs) and in vertebral bone marrow (VBM) to understand the observed signal alterations and their dependence on tissue and sequence parameters.
MATERIALS AND METHODS: : Magnetic resonance imaging was performed in 40 patients with benign (n = 20) or malignant (n = 20) VLs to determine the fat fraction and tissue parameters (ADC, T1, T2, T2*) for both the water and fat signal. With these values, the DW-SSFP signal was simulated and compared with the measured signals for different diffusion gradients by determining the signal intensity ratio between the SSFP signals of the lesions and of normal-appearing VBM for both malignant and benign VLs.
RESULTS: : The simulated DW-SSFP contrast agreed well with the measured contrast and provided a very good differentiation between benign osteoporotic and malignant VLs. ADCs were significantly different in both lesion types (malignant 1.36 vs. osteoporotic 1.77 × 10 mm/s); however, the observed contrast differences were caused predominantly by an opposed-phase readout in combination with significantly different T2* values (malignant 22 vs. osteoporotic 14 ms) and fat fractions (malignant 3.9% vs. osteoporotic 12%) in the lesions as well as significantly different fat fractions in normal-appearing VBM (malignant 42% vs. osteoporotic 52%) of both patient groups.
CONCLUSIONS: : Although the ADCs of the evaluated malignant and benign VLs showed highly significant differences, the influence of diffusion on the DW-SSFP signal contrast is relatively low compared with other tissue parameters due to the very complex signal mechanism of the SSFP sequence. Thus, the observed DW-SSFP signal contrast of different VLs (hypo-/isointense vs. hyperintense signal) is rather fat- and T2*-weighted than diffusion-weighted. The intermediate diffusion weighting of the applied SSFP sequence, however, helps to shift the different contrasts into a signal range that is easily visually accessible.

Entities:  

Mesh:

Year:  2011        PMID: 21610504     DOI: 10.1097/RLI.0b013e31821e637d

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  6 in total

1.  Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging of focal vertebral bone marrow lesions: initial experience of the differentiation of nodular hyperplastic hematopoietic bone marrow from malignant lesions.

Authors:  Sunghoon Park; Kyu-Sung Kwack; Nam-Su Chung; Jinwoo Hwang; Hyun Young Lee; Jae Ho Kim
Journal:  Skeletal Radiol       Date:  2017-03-06       Impact factor: 2.199

Review 2.  Quantitative imaging methods in osteoporosis.

Authors:  Ling Oei; Fjorda Koromani; Fernando Rivadeneira; M Carola Zillikens; Edwin H G Oei
Journal:  Quant Imaging Med Surg       Date:  2016-12

Review 3.  ADC as a useful diagnostic tool for differentiating benign and malignant vertebral bone marrow lesions and compression fractures: a systematic review and meta-analysis.

Authors:  Chong Hyun Suh; Seong Jong Yun; Wook Jin; Sun Hwa Lee; So Young Park; Chang-Woo Ryu
Journal:  Eur Radiol       Date:  2018-02-15       Impact factor: 5.315

Review 4.  Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis.

Authors:  Anahita Fathi Kazerooni; Jose M Pozo; Eugene Vincent McCloskey; Hamidreza Saligheh Rad; Alejandro F Frangi
Journal:  J Magn Reson Imaging       Date:  2019-11-11       Impact factor: 4.813

Review 5.  [Diffusion-Weighted Magnetic Resonance Imaging of Spine].

Authors:  Young Cheol Yoon
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-01-31

6.  Monitoring early response to anti-angiogenic therapy: diffusion-weighted magnetic resonance imaging and volume measurements in colon carcinoma xenografts.

Authors:  Moritz Jörg Schneider; Clemens Christian Cyran; Konstantin Nikolaou; Heidrun Hirner; Maximilian F Reiser; Olaf Dietrich
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

  6 in total

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