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Peripheral pulmonary arteries: identification at multi-slice spiral CT with 3D reconstruction
- Source :
- European Radiology. 13:815-822
- Publication Year :
- 2003
- Publisher :
- Springer Science and Business Media LLC, 2003.
-
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.
- Subjects :
- Male
medicine.medical_specialty
Pulmonary Artery
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
medicine
Humans
Radiology, Nuclear Medicine and imaging
Spiral
Retrospective Studies
Neuroradiology
Lung
medicine.diagnostic_test
business.industry
Ultrasound
Interventional radiology
General Medicine
Middle Aged
Peripheral
medicine.anatomical_structure
Female
Tomography
Radiology
Pulmonary Embolism
business
Tomography, Spiral Computed
Artery
Subjects
Details
- ISSN :
- 14321084 and 09387994
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- European Radiology
- Accession number :
- edsair.doi.dedup.....188c72e61481c68760f2cd185bd8b843
- Full Text :
- https://doi.org/10.1007/s00330-002-1734-2