Your browser doesn't support javascript.
loading
To Draw a Detailed Map for Maxillofacial Fast-Flow Vascular Diseases With the Combination of Color Doppler Ultrasound and Three-Dimensional Computed Tomography Angiography.
Yin, Qiang; Chen, Zhongping; Wang, Haodong; Rong, Li.
Afiliação
  • Yin Q; Department of Plastic and Reconstructive Surgery.
  • Chen Z; Department of Radiology, First Hospital of Jilin University.
  • Wang H; Department of Vascular Surgery, First Hospital of Jilin University, Changchun, China.
  • Rong L; Department of Plastic and Reconstructive Surgery.
J Craniofac Surg ; 2024 Feb 27.
Article em En | MEDLINE | ID: mdl-38411176
ABSTRACT
Vascular diseases, such as vascular malformations and hemangiomas, are often classified into "fast-flow" and "slow-flow" based on their internal blood velocity. Fast-flow vascular diseases of maxillofacial regions are a kind of complicated and dangerous pathological changes originating from or containing arteries, their treatment is often complex and different from disease to disease, and large amounts of intraoperative blood loss and poor operation field may cause side injury or other problems without a detailed map of the lesion. The authors use the combination of color Doppler ultrasound and three-dimensional computed tomography angiography to diagnose and classify 36 cases of maxillofacial fast-flow vascular diseases, from January 2018 to December 2022 presented in the authors' department. Three-dimensional computed tomography angiography can display the location, type, and blood supply of lesions, whereas color Doppler ultrasound has unique advantages in identifying some special lesions (such as the colorful images of orificium fistulaes and the "Yin-yang sign" of pseudoaneurysms), then projecting and marking them on the body surface, which greatly facilitate the surgical procedure. This cost-effective and noninvasive combination shows significant clinical application value.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article