Document Detail


Usefulness of multi-detector row computed tomography for accurate preoperative assessment of pancreatic adenocarcinoma: report of a case.
MedLine Citation:
PMID:  17191428     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A 74-year-old female underwent surgical treatment for adenocarcinoma of the pancreatic head. Preoperative multi-detector row computed tomography (MD-CT) demonstrated tumor invasion into the accessory right colic vein and the branch of the middle colic artery (MCA), which was not detected by digital subtraction angiography. MD-CT showed anatomical variants in the left hepatic artery arising from the left gastric artery, and the right posterior hepatic artery arising from the superior mesenteric artery. Three-dimensional reconstruction CT generated a clear picture of the anatomy of the region concerned, which is essential for a safe operation. The MD-CT findings were highly consistent with the intraoperative findings. We have demonstrated that MD-CT is an important and highly accurate modality for pancreatic surgery.
Authors:
H Maeda; T Okabayashi; M Kobayashi; S Morishita; I Nishimori; S Ito; T Sugimoto; T Akimori; S Onishi; K Araki
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Publication Detail:
Type:  Case Reports; Journal Article    
Journal Detail:
Title:  West African journal of medicine     Volume:  25     ISSN:  0189-160X     ISO Abbreviation:  West Afr J Med     Publication Date:    2006 Jul-Sep
Date Detail:
Created Date:  2006-12-28     Completed Date:  2007-02-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8301891     Medline TA:  West Afr J Med     Country:  Nigeria    
Other Details:
Languages:  eng     Pagination:  242-5     Citation Subset:  IM    
Affiliation:
Department of Tumor Surgery, Kochi Medical School, Kohasu-Okocho, Nankoku-City, Kochi 783-8505, Japan.
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MeSH Terms
Descriptor/Qualifier:
Adenocarcinoma / pathology,  radiography*,  surgery
Aged
Female
Humans
Pancreatic Neoplasms / pathology,  radiography*,  surgery
Tomography, Spiral Computed*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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