Literature DB >> 26455220

[THREE-DIMENSIONAL VISUALIZATION RECONSTRUCTION OF MEDIAL SURAL ARTERY PERFORATOR FLAP BASED ON DIGITAL TECHNOLOGY].

Liming Qing, Yihe Hu, Juyu Tang, Panfeng Wu, Fang Yu, Jieyu Liang.   

Abstract

OBJECTIVE: To explore the feasibility of three-dimensional (3-D) visualization reconstruction of the medial sural artery perforator flap based on digital technology.
METHODS: A series of Dicom images were obtained from three healthy adult volunteers by dual source CT angiography. Then the Mimics software was used to construct the medial sural artery model and measure the indexes, including the starting position of medial sural artery, external diameters of vascular pedicle, the number of perforators, location perforated deep fascia, and the maximum pedicle length of perforators based on medial sural artery perforator flap.
RESULTS: The 3-D visualization reconstruction models were successfully finished with Mimics software, which can clearly display the distribution, travel, and perforating point. Thirteen perforators were found in 6 legs, which started at the popliteal artery with a mean external diameter of 2.3 mm (range, 1.9-2.7 mm). Each specimen had 1-3 perforators, which located at the site of 6.2-15.0 cm distal to popliteal crease and 2.5-4.2 cm from posterior midline. The maximum pedicle length of medial sural artery perforator flap was 10.2-13.8 cm (mean, 11.8 cm).
CONCLUSION: The 3-D visualization reconstruction models based on digital technology can provide dynamic visualization of the anatomy of the medial sural artery for individualized design of the medial sural artery perforator flap.

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Year:  2014        PMID: 26455220

Source DB:  PubMed          Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi        ISSN: 1002-1892


  1 in total

1.  Comparison of the efficacy of the anterolateral thigh flap for perforator localization in the repair of head and neck soft tissue defects patients: A protocol study for a randomized controlled trial.

Authors:  Jiangfeng Sheng; Chao Li; Ping Tang; Jun Hu; Liying Ma; Gang Qin
Journal:  Medicine (Baltimore)       Date:  2020-12-11       Impact factor: 1.817

  1 in total

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