Kun Young Kim1, Ji Soo Song2, Stephan Kannengiesser3, Young Min Han1. 1. Department of Radiology, Chonbuk National University Medical School and Hospital, Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju-Si, Chonbuk, 561-712, Korea. 2. Department of Radiology, Chonbuk National University Medical School and Hospital, Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju-Si, Chonbuk, 561-712, Korea. pichgo@gmail.com. 3. MR Applications Development, Siemens Healthcare, Erlangen, Germany.
Abstract
PURPOSE: To evaluate the diagnostic performance of magnetic resonance imaging-estimated proton density fat fraction (MRI-PDFF) using a free-drawn region-of-interest (ROI) measurement of hepatic fat deposition compared to MR spectroscopy (MRS) as the reference standard. MATERIALS AND METHODS: A total of 156 patients underwent 3T MR imaging with a multi-step adaptive fitting approach, multi-echo volume interpolated breath-hold examination (VIBE) acquisition and single-voxel high-speed T2-corrected multiple-echo (1)H-MR spectroscopy (SVS). Seven ROI measurements were performed in each segment of the fat percentage maps ("segmental-PDFF"). Three ROIs were placed at the same level as the SVS ("VOI-PDFF"). Free-hand-drawn ROIs were placed at three different levels along the entire liver ("free-drawn-PDFF") and separately along the right and left lobes ("free-drawn-PDFF-2"). RESULTS: A strong correlation was found between VOI-PDFF and SVS (r = 0.977). The right lobe had greater fat content than the left lobe (p < 0.001). After image analysis, 54 and 46 patients were classified as having steatosis using SVS and free-drawn-PDFF as a reference standard, respectively. The diagnostic performance of free-drawn-PDFF was significantly different from SVS (p < 0.05). CONCLUSION: Free-drawn-PDFF provides accurate and generalized information regarding hepatic fat deposition. It is a useful method, particularly if fat deposition is heterogeneous, and should be considered as a new reference standard.
PURPOSE: To evaluate the diagnostic performance of magnetic resonance imaging-estimated proton density fat fraction (MRI-PDFF) using a free-drawn region-of-interest (ROI) measurement of hepatic fat deposition compared to MR spectroscopy (MRS) as the reference standard. MATERIALS AND METHODS: A total of 156 patients underwent 3T MR imaging with a multi-step adaptive fitting approach, multi-echo volume interpolated breath-hold examination (VIBE) acquisition and single-voxel high-speed T2-corrected multiple-echo (1)H-MR spectroscopy (SVS). Seven ROI measurements were performed in each segment of the fat percentage maps ("segmental-PDFF"). Three ROIs were placed at the same level as the SVS ("VOI-PDFF"). Free-hand-drawn ROIs were placed at three different levels along the entire liver ("free-drawn-PDFF") and separately along the right and left lobes ("free-drawn-PDFF-2"). RESULTS: A strong correlation was found between VOI-PDFF and SVS (r = 0.977). The right lobe had greater fat content than the left lobe (p < 0.001). After image analysis, 54 and 46 patients were classified as having steatosis using SVS and free-drawn-PDFF as a reference standard, respectively. The diagnostic performance of free-drawn-PDFF was significantly different from SVS (p < 0.05). CONCLUSION: Free-drawn-PDFF provides accurate and generalized information regarding hepatic fat deposition. It is a useful method, particularly if fat deposition is heterogeneous, and should be considered as a new reference standard.
Authors: Lidia S Szczepaniak; Pamela Nurenberg; David Leonard; Jeffrey D Browning; Jason S Reingold; Scott Grundy; Helen H Hobbs; Robert L Dobbins Journal: Am J Physiol Endocrinol Metab Date: 2004-08-31 Impact factor: 4.310
Authors: T Ueno; H Sugawara; K Sujaku; O Hashimoto; R Tsuji; S Tamaki; T Torimura; S Inuzuka; M Sata; K Tanikawa Journal: J Hepatol Date: 1997-07 Impact factor: 25.083
Authors: Susanne Bonekamp; An Tang; Arian Mashhood; Tanya Wolfson; Christopher Changchien; Michael S Middleton; Lisa Clark; Anthony Gamst; Rohit Loomba; Claude B Sirlin Journal: J Magn Reson Imaging Date: 2014-06 Impact factor: 4.813
Authors: Mustafa R Bashir; Xiaodong Zhong; Marcel D Nickel; Ghaneh Fananapazir; Stephan A R Kannengiesser; Berthold Kiefer; Brian M Dale Journal: AJR Am J Roentgenol Date: 2015-02 Impact factor: 3.959
Authors: Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin Journal: Radiology Date: 2017-09-11 Impact factor: 11.105
Authors: Huiwen Luo; Ante Zhu; Curtis N Wiens; Jitka Starekova; Ann Shimakawa; Scott B Reeder; Kevin M Johnson; Diego Hernando Journal: Magn Reson Med Date: 2020-08-01 Impact factor: 4.668
Authors: Byung Wan Lee; Yong Ho Lee; Cheol Young Park; Eun Jung Rhee; Won Young Lee; Nan Hee Kim; Kyung Mook Choi; Keun Gyu Park; Yeon Kyung Choi; Bong Soo Cha; Dae Ho Lee Journal: Diabetes Metab J Date: 2020-05-11 Impact factor: 5.376