A useful algorithm for determining fluence and pulse width for vascular targets using 1,064 nm Nd:YAG laser in an animal model

Serdar Ozturk, John Hoopman, Spencer A. Brown, Kimihiro Nojima, Hossein Saboorian, Cengiz Acikel, Jeffrey Kenkel

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Background and Objectives: Many current parameters to ablate vascular beds using 1,064 nm lasers are based on high-energy settings and often fail to consider vessel diameter and/or pulse width. This study attempts to define the minimal effective dosage (MED) of energy and pulse width for specific vessel diameters in an animal model. Study Design/Materials and Methods: 1,064 nm Nd: YAG was used in 15 Sprague-Dawley rats. Bilateral extended dorsolateral skin flaps were elevated and vessel diameters from 0.1 to 1 mm were identified. Pulse widths (PW) in a range of 15-60 milliseconds and fluences between 70-110 J/cm2 with contact cooling at 5°C (Celsius) were utilized. Results were determined clinically and histologically. Results: Ideal pulse width and MED for each vessel diameter were determined using a 6 mm spot size. Histology showed early hemostasis and subsequent thrombosis, which are consistent with clinical findings. Conclusions: This model allows in vivo monitoring of vessel ablation. Optimal pulse width and MED levels versus vessel diameter determined in this animal model provide a useful algorithm that may allow for more effective treatment of vascular targets utilizing the 1,064 nm Nd:YAG laser.

Original languageEnglish (US)
Pages (from-to)420-425
Number of pages6
JournalLasers in Surgery and Medicine
Volume34
Issue number5
DOIs
StatePublished - 2004

Keywords

  • 1,064 nm Nd:YAG laser
  • Extended dorsolateral flap
  • Optimal pulse width
  • Vessel diameter

ASJC Scopus subject areas

  • Surgery
  • Dermatology

Fingerprint

Dive into the research topics of 'A useful algorithm for determining fluence and pulse width for vascular targets using 1,064 nm Nd:YAG laser in an animal model'. Together they form a unique fingerprint.

Cite this