Literature DB >> 28212052

Proton Density Fat Fraction Measurements at 1.5- and 3-T Hepatic MR Imaging: Same-Day Agreement among Readers and across Two Imager Manufacturers.

Suraj D Serai1, Jonathan R Dillman1, Andrew T Trout1.   

Abstract

Purpose To determine the agreement of proton density fat fraction (PDFF) measurements obtained with hepatic magnetic resonance (MR) imaging among readers, imager manufacturers, and field strengths. Materials and Methods This HIPAA-compliant study was approved by the institutional review board. After providing informed consent, 24 adult volunteers underwent imaging with one 1.5-T MR unit (Ingenia; Philips Healthcare, Best, the Netherlands) and two different 3.0-T units (750 W [GE Healthcare, Waukesha, Wis] and Ingenia) on the same day to estimate hepatic PDFF. A single-breath-hold multipoint Dixon-based acquisition was performed with commercially available pulse sequences provided by the MR imager manufacturers (mDIXON Quant [Philips Healthcare], IDEAL IQ [GE Healthcare]). Five readers placed one large region of interest, inclusive of as much liver parenchyma as possible in the right lobe while avoiding large vessels, on imager-generated parametric maps to measure hepatic PDFF. Two-way single-measure intraclass correlation coefficients (ICCs) were used to assess interreader agreement and agreement across the three imaging platforms. Results Excellent interreader agreement for hepatic PDFF measurements was obtained with mDIXON Quant and the Philips 1.5-T unit (ICC, 0.995; 95% confidence interval [CI]: 0.991, 0.998), mDIXON Quant and the Philips 3.0-T unit (ICC, 0.992; 95% CI: 0.986, 0.996), and IDEAL IQ and the GE 3.0-T unit (ICC, 0.966; 95% CI: 0.939, 0.984). Individual reader ICCs for hepatic PDFF measurements across all three imager manufacturer-field strength combinations also showed excellent interimager agreement, ranging from 0.914 to 0.954. Conclusion Estimation of PDFF with hepatic MR imaging by using multipoint Dixon techniques is highly reproducible across readers, field strengths, and imaging platforms. © RSNA, 2017.

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Year:  2017        PMID: 28212052     DOI: 10.1148/radiol.2017161786

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  24 in total

1.  Proton density fat fraction (PDFF) MRI for differentiation of benign and malignant vertebral lesions.

Authors:  Frederic Carsten Schmeel; Julian Alexander Luetkens; Peter Johannes Wagenhäuser; Michael Meier-Schroers; Daniel Lloyd Kuetting; Andreas Feißt; Jürgen Gieseke; Leonard Christopher Schmeel; Frank Träber; Hans Heinz Schild; Guido Matthias Kukuk
Journal:  Eur Radiol       Date:  2018-01-08       Impact factor: 5.315

Review 2.  Imaging Modalities in Pediatric NAFLD.

Authors:  Suraj D Serai; Jennifer Panganiban; Manish Dhyani; Andrew J Degnan; Sudha A Anupindi
Journal:  Clin Liver Dis (Hoboken)       Date:  2021-04-13

3.  Stable tissue-simulating phantoms with various water and lipid contents for diffuse optical spectroscopy.

Authors:  Etsuko Ohmae; Nobuko Yoshizawa; Kenji Yoshimoto; Maho Hayashi; Hiroko Wada; Tetsuya Mimura; Hiroaki Suzuki; Shu Homma; Norihiro Suzuki; Hiroyuki Ogura; Hatsuko Nasu; Harumi Sakahara; Yutaka Yamashita; Yukio Ueda
Journal:  Biomed Opt Express       Date:  2018-10-29       Impact factor: 3.732

4.  Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence.

Authors:  Yong Zhang; Zhuang Zhou; Chao Wang; Xiaoguang Cheng; Ling Wang; Yangyang Duanmu; Chenxin Zhang; Nicola Veronese; Giuseppe Guglielmi
Journal:  Diagn Interv Radiol       Date:  2018-09       Impact factor: 2.630

5.  Agreement between manual relaxometry and semi-automated scanner-based multi-echo Dixon technique for measuring liver T2* in a pediatric and young adult population.

Authors:  Suraj D Serai; Ethan A Smith; Andrew T Trout; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2017-10-23

Review 6.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

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

7.  Quantitative Liver MRI-Biopsy Correlation in Pediatric and Young Adult Patients With Nonalcoholic Fatty Liver Disease: Can One Be Used to Predict the Other?

Authors:  Jonathan R Dillman; Andrew T Trout; Emma N Costello; Suraj D Serai; Kristin S Bramlage; Rohit Kohli; Stavra A Xanthakos
Journal:  AJR Am J Roentgenol       Date:  2017-10-18       Impact factor: 3.959

8.  Inter-reader agreement of magnetic resonance imaging proton density fat fraction and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis.

Authors:  Jonathan C Hooker; Gavin Hamilton; Charlie C Park; Steven Liao; Tanya Wolfson; Soudabeh Fazeli Dehkordy; Cheng William Hong; Adrija Mamidipalli; Anthony Gamst; Rohit Loomba; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2019-02

9.  Magnetic resonance elastography assessment of fibrosis in children with NAFLD: Promising but not perfect.

Authors:  Stavra A Xanthakos; Andrew T Trout; Jonathan R Dillman
Journal:  Hepatology       Date:  2017-09-29       Impact factor: 17.425

10.  Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLD.

Authors:  Aiguo Han; Yingzhen N Zhang; Andrew S Boehringer; Michael P Andre; John W Erdman; Rohit Loomba; Claude B Sirlin; William D O'Brien
Journal:  Eur Radiol       Date:  2019-02-19       Impact factor: 5.315

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