title: [Three-dimensional CT imaging of pulmonary nodules using helical scan CT].
abstract: To evaluate the usefulness of three-dimensional (3D) imaging of pulmonary nodules from helical scan CT images, 3D reconstructions were performed in 23 patients, using a CEMAX VIPstation. These cases included 15 lung cancers, six metastatic lung cancers, an aspergilloma and a tuberculoma. The equipment used was a Toshiba CT system, the X force. Helical scan CT data were acquired using up to 20 continuous 1.5 sec rotations with an X-ray beam width of 5 mm and a couchtop movement speed of 5 mm/1.5 sec, and during a single breath-hold. Axial images were reconstructed at a section interval of 2 mm. Helical scan CT permits axial images to be reconstructed at any desired position within the scanned area, and provides images without interslice gaps caused by respiratory movement. Therefore, high-quality 3D images can be obtained from these data. Concerning the optimum threshold range of CT number of 3D reconstruction, we clarified the lower and upper limits (lower/upper), as follows: 1) Solid pulmonary nodule: (-700-(-)400/-100 HU) 2) Tumor invaded to pleura or chest wall: (-700-(-)400/-200 HU) 3) Pulmonary nodule with cavity: (-700-(-)400/50 HU) 4) Small pulmonary nodule (< 10 mm): (-750-(-)600/-100 HU) In all cases, it was possible not only to demonstrate abnormal findings three-dimensionally, but also to grasp anatomical relationships among the pulmonary nodule, bronchi, vessels and chest wall. In conclusion, it was considered that 3D CT imaging provided additional anatomical information and was very useful.
authors.affiliation: Department of Radiology, Osaka Medical College.
authors.forename: T
authors.initials: T
authors.lastname: Shimizu
authors.forename: I
authors.initials: I
authors.lastname: Narabayashi
authors.forename: Y
authors.initials: Y
authors.lastname: Uesugi
authors.forename: R
authors.initials: R
authors.lastname: Namba
authors.forename: Y
authors.initials: Y
authors.lastname: Ogura
authors.forename: K
authors.initials: K
authors.lastname: Tabuchi
authors.forename: Y
authors.initials: Y
authors.lastname: Nakata
authors.forename: K
authors.initials: K
authors.lastname: Ashina
authors.forename: H
authors.initials: H
authors.lastname: Maeda
authors.forename: K
authors.initials: K
authors.lastname: Sueyoshi
mesh_terms: D000230:Adenocarcinoma / Q000000981:diagnostic imaging; D000328:Adult; D000368:Aged; D001228:Aspergillosis / Q000000981:diagnostic imaging; D002294:Carcinoma, Squamous Cell / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging*; D008172:Lung Diseases, Fungal / Q000000981:diagnostic imaging; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D011856:Radiographic Image Enhancement; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014375:Tuberculoma / Q000000981:diagnostic imaging; D014397:Tuberculosis, Pulmonary / Q000000981:diagnostic imaging