Fat Quantification in the Vertebral Body: Comparison of Modified Dixon Technique with Single-Voxel Magnetic Resonance Spectroscopy
Korean Journal of Radiology
;
: 126-133, 2019.
Artigo
em Inglês
| WPRIM
| ID: wpr-719591
ABSTRACT
OBJECTIVE:
To compare the lumbar vertebral bone marrow fat-signal fractions obtained from six-echo modified Dixon sequence (6-echo m-Dixon) with those from single-voxel magnetic resonance spectroscopy (MRS) in patients with low back pain. MATERIALS ANDMETHODS:
Vertebral bone marrow fat-signal fractions were quantified by 6-echo m-Dixon (repetition time [TR] = 7.2 ms, echo time (TE) = 1.21 ms, echo spacing = 1.1 ms, total imaging time = 50 seconds) and single-voxel MRS measurements in 25 targets (23 normal bone marrows, two focal lesions) from 24 patients. The point-resolved spectroscopy sequence was used for localized single-voxel MRS (TR = 3000 ms, TE = 35 ms, total scan time = 1 minute 42 seconds). A 2 × 2 × 1.5 cm³ voxel was placed within the normal L2 or L3 vertebral body, or other lesions including a compression fracture or metastasis. The bone marrow fat spectrum was characterized on the basis of the magnitude of measurable fat peaks and a priori knowledge of the chemical structure of triglycerides. The imaging-based fat-signal fraction results were then compared to the MRS-based results.RESULTS:
There was a strong correlation between m-Dixon and MRS-based fat-signal fractions (slope = 0.86, R² = 0.88, p 20%).CONCLUSION:
Given its excellent agreement with single-voxel-MRS, 6-echo m-Dixon can be used for visual and quantitative evaluation of vertebral bone marrow fat in daily practice.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Análise Espectral
/
Coluna Vertebral
/
Triglicerídeos
/
Medula Óssea
/
Espectroscopia de Ressonância Magnética
/
Dor Lombar
/
Fraturas por Compressão
/
Estudos de Avaliação como Assunto
/
Metástase Neoplásica
Tipo de estudo:
Estudo diagnóstico
/
Estudos de avaliação
Limite:
Humanos
Idioma:
Inglês
Revista:
Korean Journal of Radiology
Ano de publicação:
2019
Tipo de documento:
Artigo
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