title: Peripheral pulmonary arteries: identification at multi-slice spiral CT with 3D reconstruction.
abstract: Our objective was to analyze the peripheral pulmonary arteries using thin-collimation multi-slice spiral CT. Twenty consecutive patients underwent enhanced-spiral multi-slice CT using 1-mm collimation. Two observers analyzed the pulmonary arteries by consensus on a workstation. Each artery was identified on axial and 3D shaded-surface display reconstruction images. Each subsegmental artery was measured at a mediastinal window setting and compared with anatomical classifications. The location and branching of every subsegmental artery was recorded. The number of well-visualized sub-subsegmental arteries at a mediastinal window setting was compared with those visualized at a lung window setting. Of 800 subsegmental arteries, 769 (96%) were correctly visualized and 123 accessory subsegmental arteries were identified using the mediastinal window setting. One thousand ninety-two of 2019 sub-subsegmental arteries (54%) identified using the lung window setting were correctly visualized using the mediastinal window setting. Enhanced multi-slice spiral CT with thin collimation can be used to analyze precisely the subsegmental pulmonary arteries and may identify even more distal pulmonary arteries.
authors.affiliation: Department of Radiology, St Luc Hospital, UCL, Avenue Hippocrate, 10, 1200 Brussels, Belgium. coche@rdgn.ucl.ac.be
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Coche
authors.forename: Sebastien
authors.initials: S
authors.lastname: Pawlak
authors.forename: Stéphane
authors.initials: S
authors.lastname: Dechambre
authors.forename: Baudouin
authors.initials: B
authors.lastname: Maldague
mesh_terms: D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D011651:Pulmonary Artery / Q000000981:diagnostic imaging*; D011655:Pulmonary Embolism / Q000000981:diagnostic imaging; D012189:Retrospective Studies; D036542:Tomography, Spiral Computed