Low contrast volume dual-energy CT of the chest: Quantitative and qualitative assessment.


Journal

Clinical imaging
ISSN: 1873-4499
Titre abrégé: Clin Imaging
Pays: United States
ID NLM: 8911831

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 23 07 2020
revised: 18 09 2020
accepted: 01 10 2020
pubmed: 13 10 2020
medline: 15 12 2020
entrez: 12 10 2020
Statut: ppublish

Résumé

To evaluate the image quality of chest CT performed on dual-energy scanners using low contrast volume for routine chest (DECT-R) and pulmonary angiography (DECTPA) protocols. This retrospective study included dual-energy CT scans of chest performed with low contrast volume in 84 adults (34M:50F; Age 69 ± 16 years: Weight 71 ± 16kg). There were 42 patients with DECT-R and 42 patients with DECT-PA protocols. Images were reviewed by two thoracic radiologists. Qualitative assessment was done on a four-point scale, for subjective assessment of contrast enhancement and artifacts (1 = Excellent, 2 = optimal, 3 = suboptimal, and 4 = Limited) in the pulmonary arteries and thoracic aorta, on virtual monoenergetic and material decomposition iodine (MDI) images. Quantitative assessment was performed by measuring the CT (Hounsfield) units in aorta and pulmonary arteries. The estimated glomerular filtration rate (eGFR) was calculated before and after CT scans. Two tailed student's t-test was performed to assess the significance of findings, and strength of correlation between readers was determined by Cohen's kappa test. DECT-PA and DECT-R demonstrated excellent/adequate contrast density within the pulmonary arteries (up to segmental branch), and aorta. There was no suboptimal or limited examination. There was strong interobserver agreement for arterial enhancement in pulmonary arteries (kappa = 0.62-0.89) and for thoracic aorta (kappa = 0.62-0.94). Pulmonary emboli were seen in 3/42(7%) in DECT-R and in 5/42(12%) in DECT-PA. There was no significant change in eGFR before and after IV contrast injection (p = 0.46-0.52). DECT-R and DECT-PA performed with low contrast volume provide diagnostic quality opacification of the pulmonary vessels and aorta vessels.

Identifiants

pubmed: 33045474
pii: S0899-7071(20)30359-4
doi: 10.1016/j.clinimag.2020.10.006
pii:
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

305-310

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Subba R Digumarthy (SR)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America. Electronic address: sdigumarthy@mgh.harvard.edu.

Ramandeep Singh (R)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Shivam Rastogi (S)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Alexi Otrakji (A)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Fatemeh Homayounieh (F)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Eric W Zhang (EW)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Shaunagh McDermott (S)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

Mannudeep K Kalra (MK)

Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.

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Classifications MeSH