Quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury (2018)
- Authors:
- USP affiliated authors: AMATO, MARCELO BRITTO PASSOS - FM ; AMARO JÚNIOR, EDSON - FM
- Unidade: FM
- DOI: 10.1097/RCT.0000000000000815
- Subjects: PNEUMOPATIAS; BIOMARCADORES; TOMOGRAFIA COMPUTADORIZADA POR RAIOS X; TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2018
- Source:
- Título: Journal of computer assisted tomography
- ISSN: 0363-8715
- Volume/Número/Paginação/Ano: v. 42, n. 6, p. 866-872, 2018
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo aberto em periódico híbrido (Hybrid Open Access) -
ABNT
KAY, Fernando Uliana et al. Quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury. Journal of computer assisted tomography, v. 42, n. 6, p. 866-872, 2018Tradução . . Disponível em: https://doi.org/10.1097/RCT.0000000000000815. Acesso em: 15 mar. 2026. -
APA
Kay, F. U., Beraldo, M. A., Nakamura, M. A. M., Santiago, R. D. S., Torsani, V., Gomes, S., et al. (2018). Quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury. Journal of computer assisted tomography, 42( 6), 866-872. doi:10.1097/RCT.0000000000000815 -
NLM
Kay FU, Beraldo MA, Nakamura MAM, Santiago RDS, Torsani V, Gomes S, Roldan R, Tucci MR, Abbara S, Amato MBP, Amaro Junior E. Quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury [Internet]. Journal of computer assisted tomography. 2018 ; 42( 6): 866-872.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1097/RCT.0000000000000815 -
Vancouver
Kay FU, Beraldo MA, Nakamura MAM, Santiago RDS, Torsani V, Gomes S, Roldan R, Tucci MR, Abbara S, Amato MBP, Amaro Junior E. Quantitative dual-energy computed tomography predicts regional perfusion heterogeneity in a model of acute lung injury [Internet]. Journal of computer assisted tomography. 2018 ; 42( 6): 866-872.[citado 2026 mar. 15 ] Available from: https://doi.org/10.1097/RCT.0000000000000815 - Inflammatory biomarkers and pendelluft magnitude in ards patients transitioning from controlled to partial support ventilation
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