Feasibility of low-dose contrast media in run-off CT angiography on dual-layer spectral detector CT.

Spectral detector computed tomography contrast media (CM) lower extremity virtual monoenergetic images (VMIs)

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
May 2021
Historique:
entrez: 3 5 2021
pubmed: 4 5 2021
medline: 4 5 2021
Statut: ppublish

Résumé

The aim of the present study was to assess the feasibility of applying low-dose contrast media (CM), and to explore the optimal virtual monoenergetic images (VMIs) in run-off computed tomography (CT) angiography (CTA) on dual-layer spectral detector CT (SDCT). Forty patients were randomly assigned into a control group using routine volume CM (group A) and an experimental group using half-volume CM (group B). In groups A and B, 120 kVp polychromatic conventional images were generated via hybrid iterative reconstruction algorithm defined as A1 and B1, respectively. Additionally, in group B, VMIs (range, 40-120 keV) were reconstructed via a spectral reconstruction algorithm defined as B2-B10. Vascular attenuation, noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and radiation dose were evaluated. Subjective evaluation was performed using a 5-point scale. The patient demographics and radiation dose demonstrated no significant difference between groups A and B [dose length product (DLP): 1,823.45±512.68 It is feasible to perform run-off CTA using low-dose CM with VMI on SDCT. The VMIs at 40-50 keV were the optimal choice and did not compromise IQ.

Sections du résumé

BACKGROUND BACKGROUND
The aim of the present study was to assess the feasibility of applying low-dose contrast media (CM), and to explore the optimal virtual monoenergetic images (VMIs) in run-off computed tomography (CT) angiography (CTA) on dual-layer spectral detector CT (SDCT).
METHODS METHODS
Forty patients were randomly assigned into a control group using routine volume CM (group A) and an experimental group using half-volume CM (group B). In groups A and B, 120 kVp polychromatic conventional images were generated via hybrid iterative reconstruction algorithm defined as A1 and B1, respectively. Additionally, in group B, VMIs (range, 40-120 keV) were reconstructed via a spectral reconstruction algorithm defined as B2-B10. Vascular attenuation, noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and radiation dose were evaluated. Subjective evaluation was performed using a 5-point scale.
RESULTS RESULTS
The patient demographics and radiation dose demonstrated no significant difference between groups A and B [dose length product (DLP): 1,823.45±512.68
CONCLUSIONS CONCLUSIONS
It is feasible to perform run-off CTA using low-dose CM with VMI on SDCT. The VMIs at 40-50 keV were the optimal choice and did not compromise IQ.

Identifiants

pubmed: 33936965
doi: 10.21037/qims-20-925
pii: qims-11-05-1796
pmc: PMC8047342
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1796-1804

Informations de copyright

2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-925). The authors have no conflicts of interest to declare.

Références

Br J Radiol. 2019 Feb;92(1094):20180215
pubmed: 30407841
Eur J Radiol. 2018 Jan;98:118-125
pubmed: 29279149
Circ Cardiovasc Interv. 2010 Aug;3(4):346-50
pubmed: 20587788
AJR Am J Roentgenol. 2019 Feb;212(2):467-474
pubmed: 30476460
Quant Imaging Med Surg. 2020 Mar;10(3):592-603
pubmed: 32269920
Chem Rev. 2013 Mar 13;113(3):1641-66
pubmed: 23210836
Insights Imaging. 2017 Dec;8(6):589-598
pubmed: 28986761
Eur Radiol. 2018 Jul;28(7):2745-2755
pubmed: 29404773
Int J Cardiovasc Imaging. 2018 Aug;34(8):1265-1275
pubmed: 29516228
Eur Radiol. 2016 Dec;26(12):4380-4389
pubmed: 26960541
N Engl J Med. 2006 Jan 26;354(4):379-86
pubmed: 16436769
AJR Am J Roentgenol. 2008 Jul;191(1):43-9
pubmed: 18562723
Korean J Radiol. 2017 Jul-Aug;18(4):555-569
pubmed: 28670151
Int J Cardiovasc Imaging. 2014 Dec;30(8):1613-20
pubmed: 25053514
Abdom Radiol (NY). 2017 Mar;42(3):702-709
pubmed: 28084546
PLoS One. 2014 Jun 10;9(6):e99112
pubmed: 24915439
Diagn Interv Imaging. 2018 Sep;99(9):561-568
pubmed: 29753661
Invest Radiol. 2016 Feb;51(2):139-46
pubmed: 26561048
J Am Podiatr Med Assoc. 2010 Sep-Oct;100(5):412-23
pubmed: 20847356
Radiology. 2014 Oct;273(1):153-9
pubmed: 24937693
PLoS One. 2015 Sep 29;10(9):e0139275
pubmed: 26418007
Eur Radiol. 1999;9(8):1602-13
pubmed: 10525875
J Cardiovasc Comput Tomogr. 2017 Jan - Feb;11(1):33-39
pubmed: 28096049
Radiology. 2003 Aug;228(2):303-8
pubmed: 12819342
Heart Views. 2013 Jul;14(3):106-16
pubmed: 24696755

Auteurs

Haiyan Ren (H)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Yanhua Zhen (Y)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Zheng Gong (Z)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Chuanzhuo Wang (C)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Zhihui Chang (Z)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Jiahe Zheng (J)

Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Classifications MeSH