Publication: FDG-PET/CT Imaging-Based Target Volume Delineation for Preoperative Conformal Radiotherapy of Rectal Carcinoma
dc.contributor.author | Yavuz, Melek N. | |
dc.contributor.author | Topkan, Erkan | |
dc.contributor.author | Yavuz, A. Aydin | |
dc.contributor.author | Aydin, MEHMET | |
dc.contributor.author | Onal, Cem | |
dc.contributor.author | Reyhan, Mehmet | |
dc.contributor.author | Kotek, Ayse | |
dc.contributor.author | Pehlivan, Berrin | |
dc.contributor.author | Yapar, A. Fuat | |
dc.contributor.institutionauthor | AYDIN, MEHMET | |
dc.date.accessioned | 2020-10-29T21:48:05Z | |
dc.date.available | 2020-10-29T21:48:05Z | |
dc.date.issued | 2010-06-01T00:00:00Z | |
dc.description.abstract | Positron emission tomography (PET) has the potential to improve staging and radiation treatment-planning (RTP) for tumors in various sites. We compared computed tomography (CT) with co-registered 18F-fluorodeoxyglucose (FDG)-PET-CT) as the basis for delineating gross tumor volume (GTV) in patients with rectal carcinoma undergoing preoperative three-dimensional conformal radiotherapy (3D-CRT). | |
dc.identifier.citation | Yavuz M. N. , Topkan E., Yavuz A. A. , Aydin M., Onal C., Reyhan M., Kotek A., Pehlivan B., Yapar A. F. , -FDG-PET/CT Imaging-Based Target Volume Delineation for Preoperative Conformal Radiotherapy of Rectal Carcinoma-, UHOD-ULUSLARARASI HEMATOLOJI-ONKOLOJI DERGISI, cilt.20, ss.67-74, 2010 | |
dc.identifier.scopus | 77954639256 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12645/26421 | |
dc.identifier.wos | WOS:000279285900001 | |
dc.title | FDG-PET/CT Imaging-Based Target Volume Delineation for Preoperative Conformal Radiotherapy of Rectal Carcinoma | |
dc.type | Article | |
dspace.entity.type | Publication | |
local.avesis.id | 9c91d2ad-1b40-4fb2-8c4b-78796b62f982 | |
local.indexed.at | WOS | |
local.indexed.at | Scopus | |
local.publication.isinternational | 1 | |
relation.isAuthorOfPublication | cc431268-b40f-4cd3-8399-8ff5ce0fb780 | |
relation.isAuthorOfPublication.latestForDiscovery | cc431268-b40f-4cd3-8399-8ff5ce0fb780 |