Chen TJ, Tang YQ, Tang H, Jiang P. 3D imaging-guided individualized hepatic vein typing: Application to liver tumor resection.
Shijie Huaren Xiaohua Zazhi 2013;
21:3479-3485. [DOI:
10.11569/wcjd.v21.i32.3479]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM: To conduct 3D imaging-guided individualized typing of hepatic veins to provide a basis for digitalized liver segment resection.
METHODS: Fifty hospitalized liver cancer patients who underwent 64-row spiral CT preoperatively were included. 3D reconstruction of the liver was performed to observe the variation of reconstructed hepatic veins and typing them.
RESULTS: Hepatic veins were overall classified into two types: A (27/50, 54%) and B (23/50, 46%). The right hepatic vein were classified into four types: A: (36/50, 72%), B (10/50, 20%), C (2/50, 4%), and D (2/50, 4%). The right hepatic vein was classified into four subtypes: I (17/50, 34%), II (28/50, 56%), III (3/50, 6%), and IV (4/50, 8%). The middle hepatic vein was classified into three types: A (39/50, 78%), B (10/50, 20%), and C (1/50, 2%). The left hepatic vein was classified into two types: A (41/50, 82%) and B (9/50, 18%).
CONCLUSION: 3D imaging-guided individualized hepatic vein typing can help retain more normal liver tissue and reduce the occurrence of postoperative complications in liver surgery.
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