Muscle fat fraction in neuromuscular disorders: Dual-echo dual-flip-angle spoiled gradient-recalled mr imaging technique for quantifi cation - A feasibility study

Michele Gaeta, Emanuele Scribano, Achille Mileto, Silvio Mazziotti, Carmelo Rodolico, Antonio Toscano, Nicola Settineri, Giorgio Ascenti, Alfredo Blandino

Research output: Contribution to journalArticle

60 Citations (Scopus)

Abstract

Purpose: To prospectively evaluate the muscle fat fraction (MFF) measured with dual-echo dual-fl ip-angle spoiled gradientrecalled acquisition in the steady state (SPGR ) magnetic resonance (MR) imaging technique by using muscle biopsy as the reference standard. Materials and Methods: After ethics approval, written informed consent from all patients was obtained. Twenty-seven consecutive patients, evaluated at the Neuromuscular Disorders Center with a possible diagnosis of neuromuscular disorder, were prospectively studied with MR imaging of the lower extremities to quantify muscle fatty infi ltration by means of MFF calculation. Spin-density- and T1-weighted fast SPGR inphase and opposed-phase dual-echo sequences were performed, respectively, with 20° and 80° fl ip angles. Round regions of interest were drawn by consensus on selected MR sections corresponding to anticipated biopsy sites. These were marked on the patient's skin with a pen by using the infrared spider light of the system, and subsequent muscle biopsy was performed. MR images with regions of interest were stored on a secondary console where the MFF calculation was performed by another radiologist blinded to the biopsy results. MFFs calculated with dual-echo dual-fl ip-angle SPGR MR imaging and biopsy were compared by using a paired t test, Pearson correlation coeffi cient, and Bland-Altman plots. P value of <05 was considered to indicate a statistically signifi - cant difference. Results: The mean MFFs obtained with dual-echo dual-fl ip-angle SPGR MR imaging and biopsy were 20.3% (range, 1.7%- 45.1%) and 20.6% (range, 3%-46.1%), respectively. The mean difference, standard deviation of the difference, and value were 2 0.3, 1.3, and 2 1.3 ( P > 2), respectively. The Pearson correlation coeffi cient was 0.995; with the Bland-Altman method, all data points were within the ± 2 SDs limits of agreement. Conclusion: The results show that dual-echo dual-fl ip-angle SPGR MR imaging technique provides reliable calculation of MFF, consistent with biopsy measurements.

Original languageEnglish
Pages (from-to)487-494
Number of pages8
JournalRadiology
Volume259
Issue number2
DOIs
Publication statusPublished - May 2011

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Feasibility Studies
Cations
Fats
Muscles
Biopsy
Magnetic Resonance Imaging
Magnetic Resonance Spectroscopy
Spiders
Informed Consent
Ethics
Lower Extremity
Light
Skin

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Muscle fat fraction in neuromuscular disorders : Dual-echo dual-flip-angle spoiled gradient-recalled mr imaging technique for quantifi cation - A feasibility study. / Gaeta, Michele; Scribano, Emanuele; Mileto, Achille; Mazziotti, Silvio; Rodolico, Carmelo; Toscano, Antonio; Settineri, Nicola; Ascenti, Giorgio; Blandino, Alfredo.

In: Radiology, Vol. 259, No. 2, 05.2011, p. 487-494.

Research output: Contribution to journalArticle

Gaeta, M, Scribano, E, Mileto, A, Mazziotti, S, Rodolico, C, Toscano, A, Settineri, N, Ascenti, G & Blandino, A 2011, 'Muscle fat fraction in neuromuscular disorders: Dual-echo dual-flip-angle spoiled gradient-recalled mr imaging technique for quantifi cation - A feasibility study', Radiology, vol. 259, no. 2, pp. 487-494. https://doi.org/10.1148/radiol.10101108
Gaeta, Michele ; Scribano, Emanuele ; Mileto, Achille ; Mazziotti, Silvio ; Rodolico, Carmelo ; Toscano, Antonio ; Settineri, Nicola ; Ascenti, Giorgio ; Blandino, Alfredo. / Muscle fat fraction in neuromuscular disorders : Dual-echo dual-flip-angle spoiled gradient-recalled mr imaging technique for quantifi cation - A feasibility study. In: Radiology. 2011 ; Vol. 259, No. 2. pp. 487-494.
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abstract = "Purpose: To prospectively evaluate the muscle fat fraction (MFF) measured with dual-echo dual-fl ip-angle spoiled gradientrecalled acquisition in the steady state (SPGR ) magnetic resonance (MR) imaging technique by using muscle biopsy as the reference standard. Materials and Methods: After ethics approval, written informed consent from all patients was obtained. Twenty-seven consecutive patients, evaluated at the Neuromuscular Disorders Center with a possible diagnosis of neuromuscular disorder, were prospectively studied with MR imaging of the lower extremities to quantify muscle fatty infi ltration by means of MFF calculation. Spin-density- and T1-weighted fast SPGR inphase and opposed-phase dual-echo sequences were performed, respectively, with 20° and 80° fl ip angles. Round regions of interest were drawn by consensus on selected MR sections corresponding to anticipated biopsy sites. These were marked on the patient's skin with a pen by using the infrared spider light of the system, and subsequent muscle biopsy was performed. MR images with regions of interest were stored on a secondary console where the MFF calculation was performed by another radiologist blinded to the biopsy results. MFFs calculated with dual-echo dual-fl ip-angle SPGR MR imaging and biopsy were compared by using a paired t test, Pearson correlation coeffi cient, and Bland-Altman plots. P value of <05 was considered to indicate a statistically signifi - cant difference. Results: The mean MFFs obtained with dual-echo dual-fl ip-angle SPGR MR imaging and biopsy were 20.3{\%} (range, 1.7{\%}- 45.1{\%}) and 20.6{\%} (range, 3{\%}-46.1{\%}), respectively. The mean difference, standard deviation of the difference, and value were 2 0.3, 1.3, and 2 1.3 ( P > 2), respectively. The Pearson correlation coeffi cient was 0.995; with the Bland-Altman method, all data points were within the ± 2 SDs limits of agreement. Conclusion: The results show that dual-echo dual-fl ip-angle SPGR MR imaging technique provides reliable calculation of MFF, consistent with biopsy measurements.",
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AU - Rodolico, Carmelo

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AU - Settineri, Nicola

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