title: Pulmonary ventilation-perfusion MR imaging in clinical patients.
abstract: The purpose of this study was to evaluate the feasibility of comprehensive magnetic resonance (MR) assessment of pulmonary perfusion and ventilation in patients. Both oxygen-enhanced ventilation MR images and first-pass contrast-enhanced perfusion MR images were obtained in 16 patients with lung diseases, including pulmonary embolism, lung malignancy, and bulla. Inversion recovery single-shot fast spin-echo images were acquired before and after inhalation of 100% oxygen. The overall success rate of perfusion MR imaging and oxygen-enhanced MR imaging was 94% and 80%, respectively. All patients with pulmonary embolism showed regional perfusion deficits without ventilation abnormality on ventilation-perfusion MR imaging. The results of the current study indicate that ventilation-perfusion MR imaging using oxygen inhalation and bolus injection of MR contrast medium is feasible for comprehensive assessment of pulmonary ventilation-perfusion abnormalities in patients with lung diseases.
authors.affiliation: Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie 514-8507, Japan. housya@clin.medic.mie-u.ac.jp
authors.forename: T
authors.initials: T
authors.lastname: Nakagawa
authors.forename: H
authors.initials: H
authors.lastname: Sakuma
authors.forename: S
authors.initials: S
authors.lastname: Murashima
authors.forename: N
authors.initials: N
authors.lastname: Ishida
authors.forename: K
authors.initials: K
authors.lastname: Matsumura
authors.forename: K
authors.initials: K
authors.lastname: Takeda
mesh_terms: D000328:Adult; D000368:Aged; D001768:Blister / Q000175:diagnosis; D006801:Humans; D008168:Lung / Q000033:anatomy & histology / Q000502:physiology*; D008171:Lung Diseases / Q000175:diagnosis*; D008175:Lung Neoplasms / Q000175:diagnosis; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D011652:Pulmonary Circulation / Q000502:physiology*; D011655:Pulmonary Embolism / Q000175:diagnosis