Literature DB >> 23493204

Sixty-four-slice computed tomography angiography of perigastric veins with image fusion.

XueHua Li1, JianPing Chu, CanHui Sun, Margaret H Pui, SiYun Huang, ShiTing Feng, ZhenPeng Peng, ZiPing Li.   

Abstract

OBJECTIVE: The objective of this study was to assess the efficacy and clinical value of 64-slice computed tomography angiography (CTA) with image fusion for demonstrating the perigastric venous anatomy.
METHODS: Twenty-six patients with gastric cancer underwent abdominal CTA examinations. Computed tomography angiography of stomach and perigastric veins and arteries were reconstructed and fused using volume-rendering technique. The inflow and courses of perigastric veins as well as the spatial relationship among the perigastric veins, arteries, and stomach were compared with surgery.
RESULTS: Compared with surgical findings, the visualization rate of the 7 perigastric veins on CTA was 90.9% to 100%. There was a statistically significant decrease in number of short gastric veins identified on CTA compared with surgery (P = 0.004). There was no statistically significant difference between the 2 modalities in detecting other perigastric veins including the left gastric vein, right gastric vein, right gastroepiploic vein, left gastroepiploic vein, posterior gastric vein, and gastrocolic trunk (P = 0.317, P = 0.157, P = 1, P = 1, P = 0.317, P = 1, respectively).
CONCLUSIONS: Sixty-four-slice CTA with image fusion clearly depicts most of perigastric veins and their relationship with the stomach and perigastric arteries. It can facilitate gastrectomy.

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Year:  2013        PMID: 23493204     DOI: 10.1097/RCT.0b013e31827ddaf9

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

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2.  Computed Tomography-Based Diagnosis of Gastric Vein Invasion in Patients with Gastric Cancer.

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Review 3.  The current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review.

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Journal:  Surg Endosc       Date:  2022-03-11       Impact factor: 3.453

  3 in total

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