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Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography

BACKGROUND: To perform laparoscopic gastrectomy safely, we aimed to comprehensively re-evaluate perigastric vessel anatomies using a three-dimensional angiography reconstructed from enhanced multidetector-row computed tomography data. METHODS: Perigastric vessel anatomy was preoperatively analyzed u...

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Autores principales: Iino, Ichirota, Kikuchi, Hirotoshi, Suzuki, Toshiyuki, Kawabata, Toshiki, Jindo, Osamu, Uno, Akihiro, Fukazawa, Atsuko, Matsumoto, Keigo, Ochiai, Hideto, Sakaguchi, Takanori, Takeuchi, Hiroya, Konno, Hiroyuki, Suzuki, Shohachi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677658/
https://www.ncbi.nlm.nih.gov/pubmed/36404317
http://dx.doi.org/10.1186/s12893-022-01836-0
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author Iino, Ichirota
Kikuchi, Hirotoshi
Suzuki, Toshiyuki
Kawabata, Toshiki
Jindo, Osamu
Uno, Akihiro
Fukazawa, Atsuko
Matsumoto, Keigo
Ochiai, Hideto
Sakaguchi, Takanori
Takeuchi, Hiroya
Konno, Hiroyuki
Suzuki, Shohachi
author_facet Iino, Ichirota
Kikuchi, Hirotoshi
Suzuki, Toshiyuki
Kawabata, Toshiki
Jindo, Osamu
Uno, Akihiro
Fukazawa, Atsuko
Matsumoto, Keigo
Ochiai, Hideto
Sakaguchi, Takanori
Takeuchi, Hiroya
Konno, Hiroyuki
Suzuki, Shohachi
author_sort Iino, Ichirota
collection PubMed
description BACKGROUND: To perform laparoscopic gastrectomy safely, we aimed to comprehensively re-evaluate perigastric vessel anatomies using a three-dimensional angiography reconstructed from enhanced multidetector-row computed tomography data. METHODS: Perigastric vessel anatomy was preoperatively analyzed using a multidetector-row computed tomography-based three-dimensional angiography reconstructed in 127 patients undergoing gastric surgery. RESULTS: Of the 67 left gastric veins that ran along the dorsal side of the arteries, 59 (88.1%) ran along the dorsal side of the common hepatic artery and flowed into the portal vein. In 18 cases, a common trunk of one to three left gastric arteries and the replaced left hepatic artery was observed. The left inferior phrenic artery ramified from the left gastric artery in 5.5% of the cases. The right gastric artery was classified into distal (73.2%), caudal (18.1%), and proximal (8.7%) types. The infra-pyloric artery was also classified into distal (64.6%), caudal (26.0%), and proximal (9.4%) types. The posterior gastric artery branched as a common trunk with the superior polar artery in the proximal (37.9%) and distal (18.4%) regions of the splenic artery. The left gastroepiploic artery ramified from the splenic (18.1%) and inferior terminal arteries (81.9%). No, one, and two gastric branches of the left gastroepiploic artery, which ramified between the roots of the left gastroepiploic artery and its omental branch, were found in 36.5%, 49.2%, and 14.3% of the cases, respectively. CONCLUSIONS: Preoperative 3D angiography is useful for the precise evaluation of perigastric vessel anatomies, and may help us to perform laparoscopic gastrectomy and robotic surgery safely. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-022-01836-0.
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spelling pubmed-96776582022-11-22 Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography Iino, Ichirota Kikuchi, Hirotoshi Suzuki, Toshiyuki Kawabata, Toshiki Jindo, Osamu Uno, Akihiro Fukazawa, Atsuko Matsumoto, Keigo Ochiai, Hideto Sakaguchi, Takanori Takeuchi, Hiroya Konno, Hiroyuki Suzuki, Shohachi BMC Surg Research BACKGROUND: To perform laparoscopic gastrectomy safely, we aimed to comprehensively re-evaluate perigastric vessel anatomies using a three-dimensional angiography reconstructed from enhanced multidetector-row computed tomography data. METHODS: Perigastric vessel anatomy was preoperatively analyzed using a multidetector-row computed tomography-based three-dimensional angiography reconstructed in 127 patients undergoing gastric surgery. RESULTS: Of the 67 left gastric veins that ran along the dorsal side of the arteries, 59 (88.1%) ran along the dorsal side of the common hepatic artery and flowed into the portal vein. In 18 cases, a common trunk of one to three left gastric arteries and the replaced left hepatic artery was observed. The left inferior phrenic artery ramified from the left gastric artery in 5.5% of the cases. The right gastric artery was classified into distal (73.2%), caudal (18.1%), and proximal (8.7%) types. The infra-pyloric artery was also classified into distal (64.6%), caudal (26.0%), and proximal (9.4%) types. The posterior gastric artery branched as a common trunk with the superior polar artery in the proximal (37.9%) and distal (18.4%) regions of the splenic artery. The left gastroepiploic artery ramified from the splenic (18.1%) and inferior terminal arteries (81.9%). No, one, and two gastric branches of the left gastroepiploic artery, which ramified between the roots of the left gastroepiploic artery and its omental branch, were found in 36.5%, 49.2%, and 14.3% of the cases, respectively. CONCLUSIONS: Preoperative 3D angiography is useful for the precise evaluation of perigastric vessel anatomies, and may help us to perform laparoscopic gastrectomy and robotic surgery safely. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-022-01836-0. BioMed Central 2022-11-21 /pmc/articles/PMC9677658/ /pubmed/36404317 http://dx.doi.org/10.1186/s12893-022-01836-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Iino, Ichirota
Kikuchi, Hirotoshi
Suzuki, Toshiyuki
Kawabata, Toshiki
Jindo, Osamu
Uno, Akihiro
Fukazawa, Atsuko
Matsumoto, Keigo
Ochiai, Hideto
Sakaguchi, Takanori
Takeuchi, Hiroya
Konno, Hiroyuki
Suzuki, Shohachi
Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title_full Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title_fullStr Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title_full_unstemmed Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title_short Comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
title_sort comprehensive evaluation of three-dimensional anatomy of perigastric vessels using enhanced multidetector-row computed tomography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677658/
https://www.ncbi.nlm.nih.gov/pubmed/36404317
http://dx.doi.org/10.1186/s12893-022-01836-0
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