Repeatability Investigation of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging on Thyroid Glands.

J Comput Assist Tomogr

From the Departments of *Medical Physics and †Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY; ‡Global Applied Sciences Laboratory, GE Healthcare, Menlo Park, CA; and Departments of §Epidemiology and Biostatistics, ∥Surgery, and ¶Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY.

Published: July 2015

AI Article Synopsis

  • The study aimed to evaluate the repeatability of the apparent diffusion coefficient (ADC) measured by reduced field-of-view diffusion-weighted imaging (rFOV DWI) in thyroid glands.
  • Ten healthy volunteers underwent MRI scans over three sessions, comparing rFOV DWI to conventional full field-of-view (fFOV DWI) to analyze image quality and ADC values.
  • Results showed that rFOV DWI provided better image quality and lower ADC values, with consistent results across different sessions, indicating it may be a more reliable imaging method for this purpose.

Article Abstract

Objective: To investigate the repeatability of the quantitative magnetic resonance imaging (MRI) metric (apparent diffusion coefficient [ADC]) derived from reduced field-of-view diffusion-weighted (rFOV DWI) on thyroid glands in a clinical setting.

Materials And Methods: Ten healthy human volunteers were enrolled in MRI studies performed on a 3-T MRI scanner. Each volunteer was designed to undergo 3 longitudinal examinations (2 weeks apart) with 2 repetitive sessions within each examination, which included rFOV and conventional full field-of-view (fFOV) DWI scans. Diffusion-weighted images were assessed and scored based on image characteristics. Apparent diffusion coefficient values of thyroid glands from all participants were calculated based on regions of interest. Repeatability analysis was performed based on the framework proposed by the Quantitative Imaging Biomarker Alliance, generating 4 repeatability metrics: within-participant variance ((Equation is included in full-text article.)), repeatability coefficients, intraclass correlation coefficient, and within-participant coefficient of variation. Student t test was used to compare the performance difference between rFOV and fFOV DWI.

Results: The overall image quality from rFOV DWI was significantly higher than that from fFOV DWI (P = 0.04). The ADC values calculated from rFOV DWI were significantly lower than corresponding values from fFOV DWI (P < 0.001). There was no significant difference in ADC values across sessions and examinations in either rFOV or fFOV DWI (P > 0.05). Reduced field-of-view DWI had lower values of (Equation is included in full-text article.), repeatability coefficient, and within-participant coefficient of variation and had a higher value of intraclass correlation coefficient compared with fFOV DWI across either sessions or examinations.

Conclusions: This study demonstrated that rFOV DWI produced more superior-quality DWI images and more repeatable ADC measurements compared with fFOV DWI, thus providing a feasible quantitative imaging tool for investigating thyroid glands in clinical settings.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433417PMC
http://dx.doi.org/10.1097/RCT.0000000000000227DOI Listing

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