Aortic aneurysm evaluation by scanning acoustic microscopy and Raman spectroscopy.

Autor: Tanoren B; Acibadem University, Department of Natural Sciences, Istanbul, Turkey. bukem.tanoren@acibadem.edu.tr., Parlatan U; Bogazici University, Department of Physics, Istanbul, Turkey., Parlak M; Bogazici University, Department of Physics, Istanbul, Turkey., Kecoglu I; Bogazici University, Department of Physics, Istanbul, Turkey., Unlu MB; Bogazici University, Department of Physics, Istanbul, Turkey., Oztas DM; Bagcilar Education and Research Hospital, Cardiovascular Surgery Clinic, Istanbul, Turkey., Ulukan MO; Istanbul Medipol University, Department of Cardiovascular Surgery, Istanbul, Turkey., Erkanli K; Istanbul Medipol University, Department of Cardiovascular Surgery, Istanbul, Turkey., Ugurlucan M; Istanbul Medipol University, Department of Cardiovascular Surgery, Istanbul, Turkey.
Jazyk: angličtina
Zdroj: Analytical methods : advancing methods and applications [Anal Methods] 2021 Oct 14; Vol. 13 (39), pp. 4683-4690. Date of Electronic Publication: 2021 Oct 14.
DOI: 10.1039/d1ay01133b
Abstrakt: Aortic aneurysm is observed as a result of the extensive alteration in the elasticity of the aortic wall due to the breakdown of elastin and collagen. In this study, we studied the feasibility of scanning acoustic microscopy (SAM) and Raman spectroscopy (RS) in characterizing the dilated segments of the aorta from male and female patients with aortic aneurysm. SAM determined the acoustic property variation in the aorta by calculating the acoustic impedance values of aorta samples of 18 patients. RS determined the disease states by analyzing the chemical variation especially in the peaks related to elastin and collagen using the k -means classification method. Consequently, we assume that combining these two techniques in clinics will help to investigate the dilated segment of the aorta with micrometer resolution, which will reduce the possibility of new aneurysm formation due to a segment not excised during the surgery.
Databáze: MEDLINE