Proton Density Fat Fraction Spine MRI for Differentiation of Erosive Vertebral Endplate Degeneration and Infectious Spondylitis

Vertebral Modic type 1 (MT1) degeneration may mimic infectious disease on conventional spine magnetic resonance imaging (MRI), potentially leading to additional costly and invasive investigations. This study evaluated the diagnostic performance of the proton density fat fraction (PDFF) for distinguishing MT1 degenerative endplate changes from infectious spondylitis. A total of 31 and 22 patients with equivocal diagnosis of MT1 degeneration and infectious spondylitis, respectively, were retrospectively enrolled in this IRB-approved retrospective study and examined with a chemical-shift encoding (CSE)-based water-fat 3D six-echo modified Dixon sequence in addition to routine clinical spine MRI. Diagnostic reference standard was established according to histopathology or clinical and imaging follow-up. Intravertebral PDFF [%] and PDFFratio (i.e., vertebral endplate PDFF/normal vertebrae PDFF) were calculated voxel-wise within the single most prominent edematous bone marrow lesion per patient and examined for differences between MT1 degeneration and infectious spondylitis. Mean PDFF and PDFFratio of infectious spondylitis were significantly lower compared to MT1 degenerative changes (mean PDFF, 4.28 ± 3.12% vs. 35.29 ± 17.15% [p < 0.001]; PDFFratio, 0.09 ± 0.06 vs. 0.67 ± 0.37 [p < 0.001]). The areas under the curve (AUC) and diagnostic accuracies were 0.977 (p < 0.001) and 98.1% (cut-off at 12.9%) for PDFF and 0.971 (p < 0.001) and 98.1% (cut-off at 0.27) for PDFFratio. Our data suggest that quantitative evaluation of vertebral PDFF can provide a high diagnostic accuracy for differentiating erosive MT1 endplate changes from infectious spondylitis.

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Free‐breathing multitasking multi‐echo MRI for whole‐liver water‐specific T 1 , proton density fat fraction, and quantification

Magnetic Resonance in Medicine ◽

10.1002/mrm.28970 ◽

2021 ◽

Author(s):

Nan Wang ◽

Tianle Cao ◽

Fei Han ◽

Yibin Xie ◽

Xiaodong Zhong ◽

...

Keyword(s):

Free Breathing ◽

Proton Density ◽

Proton Density Fat Fraction ◽

Fat Fraction

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Temperature‐corrected proton density fat fraction estimation using chemical shift‐encoded MRI in phantoms

Magnetic Resonance in Medicine ◽

10.1002/mrm.28669 ◽

2021 ◽

Vol 86 (1) ◽

pp. 69-81 ◽

Cited By ~ 1

Author(s):

Ruvini Navaratna ◽

Ruiyang Zhao ◽

Timothy J. Colgan ◽

Houchun Harry Hu ◽

Mark Bydder ◽

...

Keyword(s):

Chemical Shift ◽

Proton Density ◽

Proton Density Fat Fraction ◽

Fat Fraction

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Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification

Abdominal Radiology ◽

10.1007/s00261-021-02965-5 ◽

2021 ◽

Author(s):

Cheng William Hong ◽

Jennifer Y. Cui ◽

Danielle Batakis ◽

Yang Xu ◽

Tanya Wolfson ◽

...

Keyword(s):

Region Of Interest ◽

Proton Density ◽

Sampling Strategies ◽

Proton Density Fat Fraction ◽

Fat Fraction

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Association of Thigh Muscle Strength with Texture Features Based on Proton Density Fat Fraction Maps Derived from Chemical Shift Encoding-Based Water–Fat MRI

Diagnostics ◽

10.3390/diagnostics11020302 ◽

2021 ◽

Vol 11 (2) ◽

pp. 302

Author(s):

Michael Dieckmeyer ◽

Stephanie Inhuber ◽

Sarah Schläger ◽

Dominik Weidlich ◽

Muthu R. K. Mookiah ◽

...

Keyword(s):

Chemical Shift ◽

Muscle Strength ◽

Neuromuscular Disorders ◽

Texture Features ◽

Thigh Muscle ◽

Proton Density ◽

Proton Density Fat Fraction ◽

Thigh Muscles ◽

Fat Fraction ◽

Flexion Strength

Purpose: Based on conventional and quantitative magnetic resonance imaging (MRI), texture analysis (TA) has shown encouraging results as a biomarker for tissue structure. Chemical shift encoding-based water–fat MRI (CSE-MRI)-derived proton density fat fraction (PDFF) of thigh muscles has been associated with musculoskeletal, metabolic, and neuromuscular disorders and was demonstrated to predict muscle strength. The purpose of this study was to investigate PDFF-based TA of thigh muscles as a predictor of thigh muscle strength in comparison to mean PDFF. Methods: 30 healthy subjects (age = 30 ± 6 years; 15 females) underwent CSE-MRI of the lumbar spine at 3T, using a six-echo 3D spoiled gradient echo sequence. Quadriceps (EXT) and ischiocrural (FLEX) muscles were segmented to extract mean PDFF and texture features. Muscle flexion and extension strength were measured with an isokinetic dynamometer. Results: Of the eleven extracted texture features, Variance(global) showed the highest significant correlation with extension strength (p < 0.001, R2adj = 0.712), and Correlation showed the highest significant correlation with flexion strength (p = 0.016, R2adj = 0.658). Multivariate linear regression models identified Variance(global) and sex, but not PDFF, as significant predictors of extension strength (R2adj = 0.709; p < 0.001), while mean PDFF, sex, and BMI, but none of the texture features, were identified as significant predictors of flexion strength (R2adj = 0.674; p < 0.001). Conclusions: Prediction of quadriceps muscle strength can be improved beyond mean PDFF by means of TA, indicating the capability to quantify muscular fat infiltration patterns.

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