Source: Journal of computer assisted tomography. Unidade: FM
Subjects: PNEUMOPATIAS, BIOMARCADORES, TOMOGRAFIA COMPUTADORIZADA POR RAIOS X, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO
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: 01 maio 2024.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.0000000000000815NLM
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 2024 maio 01 ] Available from: https://doi.org/10.1097/RCT.0000000000000815Vancouver
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 2024 maio 01 ] Available from: https://doi.org/10.1097/RCT.0000000000000815