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Precision of liver and pancreas apparent diffusion coefficients using motion-compensated gradient waveforms in DWI.
Starekova, Jitka; Geng, Ruiqi; Wang, Zihan; Zhang, Yuxin; Uboha, Nataliya V; Pirasteh, Ali; Hernando, Diego.
  • Starekova J; Department of Radiology, University of Wisconsin, Madison, WI, USA. Electronic address: starekova@wisc.edu.
  • Geng R; Department of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: rgeng5@wisc.edu.
  • Wang Z; Department of Radiology, University of Wisconsin, Madison, WI, USA. Electronic address: zwang379@jhmi.edu.
  • Zhang Y; Department of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: annie.yx.zhang1994@gmail.com.
  • Uboha NV; Division of Hematology, Medical Oncology and Palliative Care, Department of Medicine, University of Wisconsin, School of Medcine and Public Health, Madison, WI, USA; Carbone Cancer Center, University of Wisconsin, Madison, WI, USA. Electronic address: nvuboha@medicine.wisc.edu.
  • Pirasteh A; Department of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: pirasteh@wisc.edu.
  • Hernando D; Department of Radiology, University of Wisconsin, Madison, WI, USA; Department of Medical Physics, University of Wisconsin, Madison, WI, USA. Electronic address: dhernando@wisc.edu.
Magn Reson Imaging ; 110: 161-169, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38641212
ABSTRACT

BACKGROUND:

Diffusion weighted imaging (DWI) with optimized motion-compensated gradient waveforms reduces signal dropouts in the liver and pancreas caused by cardiovascular-associated motion, however its precision is unknown. We hypothesized that DWI with motion-compensated DW gradient waveforms would improve apparent diffusion coefficient (ADC)-repeatability and inter-reader reproducibility compared to conventional DWI in these organs.

METHODS:

In this IRB-approved, prospective, single center study, subjects recruited between October 2019 and March 2020 were scanned twice on a 3 T scanner, with repositioning between test and retest. Each scan included two respiratory-triggered DWI series with comparable acquisition time 1) conventional (monopolar) 2) motion- compensated diffusion gradients. Three readers measured ADC values. One-way ANOVA, Bland-Altman analysis were used for statistical analysis.

RESULTS:

Eight healthy participants (4 male/4 female), with a mean age of 29 ± 4 years, underwent the liver and pancreas MRI protocol. Four patients with liver metastases (2 male/2 female) with a mean age of 58 ± 5 years underwent the liver MRI protocol. In healthy participants, motion-compensated DWI outperformed conventional DWI with mean repeatability coefficient of 0.14 × 10-3 (CI0.12-0.17) vs. 0.31 × 10-3 (CI0.27-0.37) mm2/s for liver, and 0.11 × 10-3 (CI0.08-0.15) vs. 0.34 × 10-3 (CI0.27-0.49) mm2/s for pancreas; and with mean reproducibility coefficient of 0.20 × 10-3 (CI0.18-0.23) vs. 0.51 × 10-3 (CI0.46-0.58) mm2/s for liver, and 0.16 × 10-3 (CI0.13-0.20) vs. 0.42 × 10-3 (CI0.34-0.52) mm2/s for pancreas. In patients, improved repeatability was observed for motion-compensated DWI in comparison to conventional with repeatability coefficient of 0.51 × 10- 3 mm2/s (CI0.35-0.89) vs. 0.70 × 10-3 mm2/s (CI0.49-1.20).

CONCLUSION:

Motion-compensated DWI enhances the precision of ADC measurements in the liver and pancreas compared to conventional DWI.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Páncreas / Imagen de Difusión por Resonancia Magnética / Hígado / Movimiento (Física) Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Páncreas / Imagen de Difusión por Resonancia Magnética / Hígado / Movimiento (Física) Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article