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


Journal

Journal of computer assisted tomography
ISSN: 1532-3145
Titre abrégé: J Comput Assist Tomogr
Pays: United States
ID NLM: 7703942

Informations de publication

Date de publication:
Historique:
pubmed: 4 7 2019
medline: 23 7 2019
entrez: 4 7 2019
Statut: ppublish

Résumé

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. 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. 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. Readers preferred LAVA with respect to motion but not noise; there was no preference in most of the tested clinical tasks.

Identifiants

pubmed: 31268878
doi: 10.1097/RCT.0000000000000888
pmc: PMC6629493
mid: NIHMS1528878
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

623-627

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001117
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002553
Pays : United States

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Auteurs

Brian C Allen (BC)

From the Department of Radiology.

Wendy L Ehieli (WL)

From the Department of Radiology.

Benjamin Wildman-Tobriner (B)

From the Department of Radiology.

Mohammad Chaudhry (M)

From the Department of Radiology.

Erol Bozdogan (E)

From the Department of Radiology.

James Ronald (J)

From the Department of Radiology.

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Classifications MeSH