Highly Reproducible, Vendor-Agnostic, Motion-Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Jiayi Tang - , University of Wisconsin-Madison (Autor:in)
  • Daiki Tamada - , University of Wisconsin-Madison (Autor:in)
  • Jon-Fredrik Nielsen - , University of Michigan, Ann Arbor (Autor:in)
  • Jitka Starekova - , University of Wisconsin-Madison (Autor:in)
  • Julius F Heidenreich - , Universitätsklinikum Würzburg (Autor:in)
  • Felix Schön - , Institut und Poliklinik für diagnostische und interventionelle Radiologie, University of Wisconsin-Madison, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Alexandra A Anagnostopoulos - , University of Wisconsin-Madison (Autor:in)
  • Amirhossein Roshanshad - , University of Wisconsin-Madison (Autor:in)
  • Lu Mao - , University of Wisconsin-Madison (Autor:in)
  • Shohei Fujita - , Brigham and Women's Hospital (Autor:in)
  • Pengcheng Xu - , Zhejiang University (Autor:in)
  • Christopher Keen - , University of Michigan, Ann Arbor (Autor:in)
  • Imam Ahmed Shaik - , Brigham and Women's Hospital (Autor:in)
  • Eugene Milshteyn - , GE Healthcare (Autor:in)
  • Seonghwan Yee - , Massachusetts General Hospital (Autor:in)
  • Andrew J Ellison - , Boston Medical Center (BMC) (Autor:in)
  • David Rutkowski - , Calimetrix, LLC. (Autor:in)
  • Jeff Kammerman - , Calimetrix, LLC. (Autor:in)
  • Jean H Brittain - , Calimetrix, LLC. (Autor:in)
  • Xiaodong Zhong - , University of California at Los Angeles (Autor:in)
  • William A Grissom - , Case Western Reserve University (Autor:in)
  • Maxim Zaitsev - , Universitätsklinikum Freiburg (Autor:in)
  • Aaron L Carrel - , University of Wisconsin-Madison (Autor:in)
  • Yogesh Rathi - , Brigham and Women's Hospital (Autor:in)
  • Yun Jiang - , University of Michigan, Ann Arbor (Autor:in)
  • Berkin Bilgic - , Brigham and Women's Hospital (Autor:in)
  • Scott B Reeder - , University of Wisconsin-Madison (Autor:in)
  • Diego Hernando - , University of Wisconsin-Madison (Autor:in)

Abstract

PURPOSE: To develop and validate a vendor-agnostic, motion-insensitive proton-density fat-fraction (PDFF) quantification method.

METHODS: Flip-angle-modulated (FAM) 2D chemical-shift-encoded (CSE) MRI for PDFF quantification was implemented in both the vendor-agnostic platform Pulseq ("Pulseq-FAM") and one vendor-specific platform ("GE-specific FAM"). These implementations were distributed to four sites with twelve MR systems of three vendors (Siemens/GE/Philips) and field strengths (0.55T/1.5T/3T). A sequentially-shipped 16-vial phantom (PDFF = 0%-30%/T1water = 200-1400 ms) underwent confounder-corrected PDFF mapping with commercial 3D-CSE methods and GE-specific FAM as available on each system, and Pulseq-FAM on every system. To assess bias, phantom PDFF measurements were compared to reference. Between-system variance was evaluated with linear mixed-effects modeling. Different volunteers were also imaged at each site to assess free-breathing PDFF mapping feasibility. A prospective single-site volunteer study was also conducted. Adult patients and children were imaged with breath-held 3D-CSE and free-breathing GE-specific and Pulseq-FAM. Radiologists evaluated images for overall quality and motion artifacts. To assess bias, Pulseq-FAM PDFF measurements were compared to 3D-CSE and GE-specific FAM. Test-retest repeatability was assessed by re-imaging after repositioning. Between-field-strength reproducibility was assessed at 1.5T and 3.0T.

RESULTS: In the multi-center study, Pulseq-FAM showed reduced T1-bias and between-system variability versus 3D-CSE in phantom PDFF measurements, and free-breathing feasibility in volunteers. In the single-site volunteer study (N = 57), Pulseq-FAM improved image quality and motion artifacts versus 3D-CSE (p < 0.01). Pulseq-FAM showed excellent agreement with 3D-CSE (95% limits-of-agreement (LoA) = 3.4% PDFF) and GE-specific FAM (LoA = 2.0%). Pulseq-FAM showed excellent repeatability (repeatability coefficient (RC) = 1.6% PDFF) and between-field-strength reproducibility (reproducibility coefficient (RDC) = 2.4%) versus 3D-CSE (RC = 2.7%/RDC = 3.4%; differences p < 0.05).

CONCLUSION: Pulseq-FAM enables accurate, reproducible, vendor-agnostic, and motion-insensitive PDFF quantification in adults and children.

Details

OriginalspracheEnglisch
Seiten (von - bis)2797-2813
Seitenumfang17
FachzeitschriftMagnetic Resonance in Medicine
Jahrgang95
Ausgabenummer5
Frühes Online-Datum12 Dez. 2025
PublikationsstatusVeröffentlicht - Mai 2026
Peer-Review-StatusJa

Externe IDs

Scopus 105024678596

Schlagworte