Quantitative CT imaging analysis to predict pathology features in patients with a congenital pulmonary airway malformation

MLA

J. Marco Schnater, et al. “Quantitative CT Imaging Analysis to Predict Pathology Features in Patients with a Congenital Pulmonary Airway Malformation.” Journal of Pediatric Surgery, vol. 57, Aug. 2022, pp. 1567–72. EBSCOhost, https://doi.org/10.1016/j.jpedsurg.2021.10.008.

APA

J. Marco Schnater, Sergei M. Hermelijn, Rene M. H. Wijnen, Harm A.W.M. Tiddens, Pierluigi Ciet, Maarten J. Mackenbach, Jan H. von der Thüsen, Cathy van Horik, & Janina L. Wolf. (2022). Quantitative CT imaging analysis to predict pathology features in patients with a congenital pulmonary airway malformation. Journal of Pediatric Surgery, 57, 1567–1572. https://doi.org/10.1016/j.jpedsurg.2021.10.008

Chicago

J. Marco Schnater, Sergei M. Hermelijn, Rene M. H. Wijnen, Harm A.W.M. Tiddens, Pierluigi Ciet, Maarten J. Mackenbach, Jan H. von der Thüsen, Cathy van Horik, and Janina L. Wolf. 2022. “Quantitative CT Imaging Analysis to Predict Pathology Features in Patients with a Congenital Pulmonary Airway Malformation.” Journal of Pediatric Surgery 57 (August): 1567–72. doi:10.1016/j.jpedsurg.2021.10.008.