Document Detail

Step-by-Step Vascular Naming Algorithms for a Precise Understanding of Major Anomalies in the Liver.
MedLine Citation:
PMID:  22353517     Owner:  NLM     Status:  In-Data-Review    
Background/Aims: To establish an objective and precise vascular naming method to explore the segmental anatomy of the liver with major anomalies using threedimensional (3D) simulations. Methodology: Two algorithms, "Alternative vascular visualization method" (Algorithm A) and "Cholecystic axis based definition" (Algorithm B), were devised. Twenty livers with typical anatomy and four anomalous cases were screened by six masked physicians using a blinded protocol. Results: After confirming the feasibility in subjects with a typical anatomy, the accuracies of the algorithms were tested in anomalous cases. Using conventional 3D screening, the accuracies of the portal and hepatic venous definitions were 40.6% and 61.1%, respectively. However, after the introduction of the presently reported algorithms, these results improved to 83.4% and 83.4%, respectively, for Algorithm A, and 88.5% and 83.3%, respectively, for Algorithm B. In particular, the accuracy was further improved to nearly 100% when the naming process was started from the larger side of the liver in Algorithm A. Conclusions: The present study confirmed that Algorithm A enables the precise vascular definitions when the process is started from the larger side of the liver. This method may be a useful tool for anatomic exploration of liver with major anomalies.
Junichi Shindoh; Shoichi Satou; Taku Aoki; Yoshikuni Kawaguchi; Yoshifumi Beck; Yasuhiko Sugawara; Kiyoshi Hasegawa; Norihiro Kokudo
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Hepato-gastroenterology     Volume:  59     ISSN:  0172-6390     ISO Abbreviation:  Hepatogastroenterology     Publication Date:    2012 Mar-Apr
Date Detail:
Created Date:  2012-02-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8007849     Medline TA:  Hepatogastroenterology     Country:  Greece    
Other Details:
Languages:  eng     Pagination:  511-4     Citation Subset:  IM    
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