Login / Signup

The Arterial Supply of the Distal Part of the Pancreas.

Serghei CovantsevN MazurucO Belic
Published in: Surgery research and practice (2019)
The pancreatic surgery field has evolved greatly over the previous years. Nevertheless, the vascularization of the pancreas remains a difficult subject and requires further attention. The study was conducted using macroscopical dissection and corrosion cast methods. The total number of organ blocks was 72 (50 for dissection and 22 for corrosion cast). Based on the data obtained by dissection, we can distinguish three major types of vascularization of the distal pancreas. In type one, the pancreas was vascularized only by the short branches of the splenic artery and was encountered in 18 cases (36%). In type two, the pancreas was vascularized by the long and short branches of the splenic artery and was encountered in 20 cases (40%). In type three, the pancreas was vascularized only by the long branches of the splenic artery in 12 cases (24%). Compared to that, the corrosion cast method demonstrated type 1 in 8 cases (36.36%), type 2 in 10 cases (45.46%), and type 3 in 4 cases (18.18%). During the dissection, there were no arteries to the tail of the pancreas in 13 (26%) cases, one artery in 15 (30%) cases, two arteries in 19 (38%), and three arteries in three (6%) cases. The 22 corrosion cast specimens were also evaluated based on the classification of Roman Ramos and coworkers. Type I (small arcades) was in 9 (40.90%) cases, type II (small and large arcades) was in 7 (31.82%) cases, type III (large arcades) was in 5 (22.73%) cases, and type IV (straight branches) was in 1 (4.55%) case. The corrosion cast method allowed us to determine no arteries to the tail in 4 (18.18%) cases, one artery in 6 (27.27%) cases, two arteries in 10 (45.46%) cases and three arteries in two (9.09%) cases. The vascularization of the distal part of the pancreas is highly variable and should be taken into consideration during surgery.
Keyphrases
  • minimally invasive
  • coronary artery disease
  • deep learning
  • percutaneous coronary intervention
  • electronic health record
  • big data