Author Ohno, Naoki| Ohtsuki, Shinichi| Kataoka, Koichi| Baba, Kenji| Okamoto, Yoshio| Kondo, Maiko| Sano, Shunji| Kasahara, Shingo| Honjo, Osami| Morishima, Tsuneo|
Published Date 2013-04
Publication Title Catheterization and Cardiovascular Interventions
Volume volume81
Issue issue5
Content Type Journal Article
Author Ohtsuki, Shinnichi|
Published Date 2005-06-30
Publication Title
Content Type Thesis or Dissertation
JaLCDOI 10.18926/AMO/31981
FullText URL fulltext.pdf
Author Ohtsuki, Shinnichi| Baba, Kenji| Kataoka, Kohichi| Ohno, Naoki| Okamoto, Yoshio| Ishino, Kozo| Kawada, Masaaki| Sano, Shunji| Sato, Shuhei| Morishima, Tsuneo|
Abstract <p>We investigated the usefulness of helical computed tomography(CT)in the morphological diagnosis of pulmonary vein stenosis, particularly that in infants and small children. In total, 20 helical CT examinations were performed in 10 post-operative cases of Total Anomalous Pulmonary Venous Drainage(TAPVD), 3 cases of single right ventricle, and 1 case of single left ventricle. In all cases, distinct morphological imaging was possible. Pulmonary vein stenosis could be categorized into three types: (1)stenosis from the anastomosis of the common pulmonary vein (CPV)-the left atrium (LA) to the peripheral pulmonary vein; (2) stenosis only at the anastomosis of CPV-LA; and (3) stenosis due to compression by nearby organs. Coronal views by multiplanar reconstruction (MPR) provided morphological information along the up-down direction of the body axis. Morphological diagnosis of pulmonary vein stenosis is important in deciding prognosis and therapeutic regimens, and helical CT was considered useful for such diagnosis in our 14 young patients.</p>
Keywords pulmonary vein stenosis helical CT
Amo Type Article
Published Date 2005-06
Publication Title Acta Medica Okayama
Volume volume59
Issue issue3
Publisher Okayama University Medical School
Start Page 93
End Page 98
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
File Version publisher
Refereed True
PubMed ID 16049562
Web of Science KeyUT 000230039100004