MISC

2011年1月

The Utility of Multidetector-Row Computed Tomography Angiography for Evaluating Perforators of Fibular Osteocutaneous Flaps

JOURNAL OF RECONSTRUCTIVE MICROSURGERY
  • Takashi Satoh
  • ,
  • Yoshihiro Kimata
  • ,
  • Kenjiro Hasegawa
  • ,
  • Yuzaburo Namba

27
1
開始ページ
29
終了ページ
36
記述言語
英語
掲載種別
DOI
10.1055/s-0030-1267380
出版者・発行元
THIEME MEDICAL PUBL INC

Multidetector-row computed tomography angiography (MDCTA) can be used to visualize small vessels and has been used to search for perforators in deep inferior epigastric artery perforator flaps and anterolateral thigh flaps. Fibula osteocutaneous flaps are often used for mandibular reconstruction, but questions remain about the reliability of these flaps and the variety of their perforators. Eight patients who were candidates for mandibular or pedal reconstruction with a fibula osteocutaneous flap were prospectively evaluated with MDCTA and Doppler sonography. We evaluated the number, position, and course of perforators with MDCTA. The perforators were classified, and intraoperative findings were compared with those of Doppler sonography and MDCTA. MDCTA accurately identified the perforators and showed a satisfactory concordance with intraoperative findings. The high spatial resolution of MDCTA allows the perforators' origin, course, and type to be precisely described. Eighteen vessels were identified with MDCTA, and on average, 2.3 vessels were identified in the leg of each patient. The rate of concordance with operative findings was 87.5% for MDCTA. With MDCTA, flap perforators can be accurately evaluated before surgery in a manner not possible with traditional angiography or Doppler sonography. Reliable perforators can be chosen, and detailed operative plans can be made.

リンク情報
DOI
https://doi.org/10.1055/s-0030-1267380
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000285707400005&DestApp=WOS_CPL
ID情報
  • DOI : 10.1055/s-0030-1267380
  • ISSN : 0743-684X
  • Web of Science ID : WOS:000285707400005

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