Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT.


Journal

Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499

Informations de publication

Date de publication:
May 2020
Historique:
received: 29 11 2019
revised: 10 02 2020
accepted: 11 02 2020
pubmed: 17 3 2020
medline: 10 7 2021
entrez: 17 3 2020
Statut: ppublish

Résumé

To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT). A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18-88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities. Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a -0.10 bias, with limits of agreement between [-6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95% 
CI: 82.6-93.4%), 96.5% (95% CI: 92.1-98.5%), 95.6% (95% CI: 
90.9-97.8%), 91.4% (95% CI: 85.6-94.9%) and 93.0% (95% CI: 
87.6-96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P<0.0001) using a significantly lower equivalent dose of 4.1±2.3 (SD) mSv (range: 1.9-11.85mSv) compared to an equivalent dose of 5.3±1.1 (SD) mSv (range: 2.8-7.3mSv) for SPECT-CT, corresponding to a 21.2% dose reduction (P=0.0004). DECT imaging shows strong quantitative correlations and qualitative agreements with SPECT-CT for the evaluation of lung perfusion.

Identifiants

pubmed: 32173289
pii: S2211-5684(20)30038-3
doi: 10.1016/j.diii.2020.02.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

299-310

Informations de copyright

Copyright © 2020 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

S Si-Mohamed (S)

Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France. Electronic address: salim.si-mohamed@chu-lyon.fr.

C Moreau-Triby (C)

Department of Nuclear Medicine, Hospices Civils de Lyon, 69500 Bron, France.

P Tylski (P)

Medical Physics and Radioprotection, Hospices Civils de Lyon, 69500 Bron, France.

V Tatard-Leitman (V)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France.

Q Wdowik (Q)

Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France.

S Boccalini (S)

Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France.

R Dessouky (R)

Department of Radiology, Faculty of Medicine, Zagazig University, 44519 Zagazig, Egypt.

P Douek (P)

Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France.

L Boussel (L)

Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France.

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Classifications MeSH