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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury

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Author(s):
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Kay, Fernando Uliana [1, 2] ; Beraldo, Marcelo A. [3] ; Nakamura, Maria A. M. [3] ; Santiago, Roberta De Santis [3] ; Torsani, Vinicius [3] ; Gomes, Susimeire [3] ; Roldan, Rollin [3] ; Tucci, Mauro R. [3] ; Abbara, Suhny [1] ; Amato, Marcelo B. P. [3] ; Amaro, Jr., Edson [2]
Total Authors: 11
Affiliation:
[1] Univ Texas Southwestern Med Ctr Dallas, 5323 Harry Hines Blvd, Dallas, TX 75390 - USA
[2] Univ Sao Paulo, Fac Med, Hosp Clin, Dept Radiol, LIM 44, Sao Paulo, SP - Brazil
[3] Univ Sao Paulo, Fac Med, Hosp Clin HCFMUSP, Div Pneumol, Inst Coracao, Sao Paulo, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY; v. 42, n. 6, p. 866-872, NOV-DEC 2018.
Web of Science Citations: 1
Abstract

Objective The aims of this study were to investigate the ability of contrast-enhanced dual-energy computed tomography (DECT) for assessing regional perfusion in a model of acute lung injury, using dynamic first-pass perfusion CT (DynCT) as the criterion standard and to evaluate if changes in lung perfusion caused by prone ventilation are similarly demonstrated by DECT and DynCT. Methods This was an institutional review board-approved study, compliant with guidelines for humane care of laboratory animals. A ventilator-induced lung injury protocol was applied to 6 landrace pigs. Perfused blood volume (PBV) and pulmonary blood flow (PBF) were respectively quantified by DECT and DynCT, in supine and prone positions. The lungs were segmented in equally sized regions of interest, namely, dorsal, middle, and ventral. Perfused blood volume and PBF values were normalized by lung density. Regional air fraction (AF) was assessed by triple-material decomposition DECT. Per-animal correlation between PBV and PBF was assessed with Pearson R. Regional differences in PBV, PBF, and AF were evaluated with 1-way analysis of variance and post hoc linear trend analysis ( = 5%). Results Mean correlation coefficient between PBV and PBF was 0.70 (range, 0.55-0.98). Higher PBV and PBF values were observed in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were -10.24 mL/100 g per zone for PBV (P < 0.001) and -223.0 mL/100 g per minute per zone for PBF (P < 0.001). Prone ventilation also revealed higher PBV and PBF in dorsal versus ventral regions. Dorsal-to-ventral linear trend slopes were -16.16 mL/100 g per zone for PBV (P < 0.001) and -108.2 mL/100 g per minute per zone for PBF (P < 0.001). By contrast, AF was lower in dorsal versus ventral regions in supine position, with dorsal-to-ventral linear trend slope of +5.77%/zone (P < 0.05). Prone ventilation was associated with homogenization of AF distribution among different regions (P = 0.74). Conclusions Dual-energy computed tomography PBV is correlated with DynCT-PBF in a model of acute lung injury, and able to demonstrate regional differences in pulmonary perfusion. Perfusion was higher in the dorsal regions, irrespectively to decubitus, with more homogeneous lung aeration in prone position. (AU)

FAPESP's process: 12/07221-0 - Regional imbalances in lung perfusion: a validation study on electrical impedance tomography
Grantee:Marcelo do Amaral Beraldo
Support Opportunities: Scholarships in Brazil - Post-Doctoral