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DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study.

Publication ,  Journal Article
Allen, BC; Ehieli, WL; Wildman-Tobriner, B; Chaudhry, M; Bozdogan, E; Janas, G; Ronald, J; Bashir, MR
Published in: J Comput Assist Tomogr
2019

OBJECTIVE: The aim of this study was to compare respiratory-triggered DIfferential Subsampling with Cartesian Ordering (rtDISCO) and breath-held Liver Acquisition with Volume Acquisition (LAVA) image quality. METHODS: In this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant prospective study, 25 subjects underwent T1 imaging with rtDISCO and LAVA before and after intravenous contrast. Three readers scored individual series and side-by-side comparisons for motion and noise. Eight clinical tasks were qualitatively assessed. RESULTS: As individual series, readers rated rtDISCO images as more degraded by motion on both precontrast (mean rtDISCO score, 2.7; LAVA, 1.6; P < 0.001) and postcontrast images (rtDISCO, 2.4; LAVA, 1.8; P < 0.001). Readers preferred LAVA images based on motion on both precontrast (mean preference, -1.2; P < 0.001) and postcontrast images (mean preference, -0.7; P < 0.001) on side-by-side assessment. There was no preference between sequences for 6 of 8 clinical tasks on postcontrast images. CONCLUSIONS: Readers preferred LAVA with respect to motion but not noise; there was no preference in most of the tested clinical tasks.

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Published In

J Comput Assist Tomogr

DOI

EISSN

1532-3145

Publication Date

2019

Volume

43

Issue

4

Start / End Page

623 / 627

Location

United States

Related Subject Headings

  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Diseases
  • Liver
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
 

Citation

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Chicago
ICMJE
MLA
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Allen, B. C., Ehieli, W. L., Wildman-Tobriner, B., Chaudhry, M., Bozdogan, E., Janas, G., … Bashir, M. R. (2019). DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study. J Comput Assist Tomogr, 43(4), 623–627. https://doi.org/10.1097/RCT.0000000000000888
Allen, Brian C., Wendy L. Ehieli, Benjamin Wildman-Tobriner, Mohammad Chaudhry, Erol Bozdogan, Gemini Janas, James Ronald, and Mustafa R. Bashir. “DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study.J Comput Assist Tomogr 43, no. 4 (2019): 623–27. https://doi.org/10.1097/RCT.0000000000000888.
Allen BC, Ehieli WL, Wildman-Tobriner B, Chaudhry M, Bozdogan E, Janas G, et al. DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study. J Comput Assist Tomogr. 2019;43(4):623–7.
Allen, Brian C., et al. “DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study.J Comput Assist Tomogr, vol. 43, no. 4, 2019, pp. 623–27. Pubmed, doi:10.1097/RCT.0000000000000888.
Allen BC, Ehieli WL, Wildman-Tobriner B, Chaudhry M, Bozdogan E, Janas G, Ronald J, Bashir MR. DIfferential Subsampling With Cartesian Ordering With Respiratory Triggering Versus Conventional Liver Acquisition With Volume Acquisition: A Multiple Reader Preference Study. J Comput Assist Tomogr. 2019;43(4):623–627.

Published In

J Comput Assist Tomogr

DOI

EISSN

1532-3145

Publication Date

2019

Volume

43

Issue

4

Start / End Page

623 / 627

Location

United States

Related Subject Headings

  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Diseases
  • Liver
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female