scholarly journals Accuracy of common proton density fat fraction thresholds for magnitude- and complex-based chemical shift-encoded MRI for assessing hepatic steatosis in patients with obesity

2019 ◽  
Vol 45 (3) ◽  
pp. 661-671 ◽  
Author(s):  
Guilherme Moura Cunha ◽  
Tydus T. Thai ◽  
Gavin Hamilton ◽  
Yesenia Covarrubias ◽  
Alexandra Schlein ◽  
...  
2021 ◽  
Vol 86 (1) ◽  
pp. 69-81 ◽  
Author(s):  
Ruvini Navaratna ◽  
Ruiyang Zhao ◽  
Timothy J. Colgan ◽  
Houchun Harry Hu ◽  
Mark Bydder ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 302
Author(s):  
Michael Dieckmeyer ◽  
Stephanie Inhuber ◽  
Sarah Schläger ◽  
Dominik Weidlich ◽  
Muthu R. K. Mookiah ◽  
...  

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.


2019 ◽  
Vol 51 (2) ◽  
pp. 407-414
Author(s):  
Timothy J. Colgan ◽  
Andrew J. Van Pay ◽  
Samir D. Sharma ◽  
Lu Mao ◽  
Scott B. Reeder

2015 ◽  
Vol 25 (10) ◽  
pp. 2921-2930 ◽  
Author(s):  
Jennifer L. Rehm ◽  
Peter M. Wolfgram ◽  
Diego Hernando ◽  
Jens C. Eickhoff ◽  
David B. Allen ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255768
Author(s):  
Bien Van Tran ◽  
Kouichi Ujita ◽  
Ayako Taketomi-Takahashi ◽  
Hiromi Hirasawa ◽  
Takayuki Suto ◽  
...  

Purpose To evaluate the reliability of ultrasound hepatorenal index (US-HRI) and magnetic resonance imaging proton density fat fraction (MRI-PDFF) techniques in the diagnosis of hepatic steatosis, with magnetic resonance spectroscopy proton density fat fraction (MRS-PDFF) as the reference standard. Materials and methods Fifty-two adult volunteers (30 men, 22 women; age, 31.5 ± 6.5 years) who had no history of kidney disease or viral/alcoholic hepatitis were recruited to undergo abdominal US, MRI, and MRS examinations. US-HRI was calculated from the average of three pairs of regions of interest (ROIs) measurements placed in the liver parenchyma and right renal cortex. On MRI, the six-point Dixon technique was employed for calculating proton density fat fraction (MRI-PDFF). An MRS sequence with a typical voxel size of 27 ml was chosen to estimate MRS-PDFF as the gold standard. The data were evaluated using Pearson’s correlation coefficient and receiver operating characteristic (ROC) curves. Results The Pearson correlation coefficients of US-HRI and MRI-PDFF with MRS-PDFF were 0.38 (p = 0.005) and 0.95 (p<0.001), respectively. If MRS-PDFF ≥5.56% was defined as the gold standard of fatty liver disease, the areas under the curve (AUCs), cut-off values, sensitivities and specificities of US-HRI and MRI-PDFF were 0.74, 1.54, 50%, 91.7% and 0.99, 2.75%, 100%, 88.9%, respectively. The intraclass correlation coefficients (ICCs) of US-HRI and MRI-PDFF were 0.70 and 0.85. Conclusion MRI-PDFF was more reliable than US-HRI in diagnosing hepatic steatosis.


Radiology ◽  
2013 ◽  
Vol 267 (3) ◽  
pp. 767-775 ◽  
Author(s):  
Ilkay S. Idilman ◽  
Hatice Aniktar ◽  
Ramazan Idilman ◽  
Gokhan Kabacam ◽  
Berna Savas ◽  
...  

2017 ◽  
Vol 47 (2) ◽  
pp. 418-424 ◽  
Author(s):  
Adrija Mamidipalli ◽  
Gavin Hamilton ◽  
Paul Manning ◽  
Cheng William Hong ◽  
Charlie C. Park ◽  
...  

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