AI Article Synopsis

  • The study focused on creating a new cholangiography method that reconstructs images using portal-phase MDCT scans, addressing gaps in traditional methods.
  • This method employed original software to automatically select the best biliary tract out of five candidates for imaging, comparing its effectiveness against manual techniques.
  • Results showed that the automated cholangiograms successfully highlighted key biliary branches and demonstrated clinical applicability, suggesting this method could be a future alternative to direct cholangiography with further enhancements.

Article Abstract

Purpose: Fusion angiography using reconstructed multidetector-row computed tomography (MDCT) images, and cholangiography using reconstructed images from MDCT with a cholangiographic agent include an anatomical gap due to the different periods of MDCT scanning. To conquer such gaps, we attempted to develop a cholangiography procedure that automatically reconstructs a cholangiogram from portal-phase MDCT images.

Methods: The automatically produced cholangiography procedure utilized an original software program that was developed by the Graduate School of Information Science, Nagoya University. This program structured 5 candidate biliary tracts, and automatically selected one as the candidate for cholangiography. The clinical value of the automatically produced cholangiography procedure was estimated based on a comparison with manually produced cholangiography.

Results: Automatically produced cholangiograms were reconstructed for 20 patients who underwent MDCT scanning before biliary drainage for distal biliary obstruction. The procedure showed the ability to extract the 5 main biliary branches and the 21 subsegmental biliary branches in 55 and 25 % of the cases, respectively. The extent of aberrant connections and aberrant extractions outside the biliary tract was acceptable. Among all of the cholangiograms, 5 were clinically applied with no correction, 8 were applied with modest improvements, and 3 produced a correct cholangiography before automatic selection.

Conclusions: Although our procedure requires further improvement based on the analysis of additional patient data, it may represent an alternative to direct cholangiography in the future.

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Source
http://dx.doi.org/10.1007/s00595-016-1394-5DOI Listing

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