Assessment and comparison of likely density distributions in the cases of thickness measurement of skin tumours by ultrasound examination and histological analysis

• Main Authors: Indre Drulyte, Tomas Ruzgas, Renaldas Raisutis, Skaidra Valiukeviciene
• Format: Article
• Language: English
• Published: JVE International 2016-08-01
• Series: Journal of Vibroengineering
• Subjects: skin tumour; thickness measurement; goodness of fit test; kernel method; nonparametric density estimator; Monte Carlo method
• Online Access: https://www.jvejournals.com/article/17183
• ISSN: 1392-8716; 2538-8460

Ultrasonic diagnostic methods are used to estimate the structural changes and to measure parameters of lesions of the human tissue. Nowadays, the special algorithms of medical data analysis are able to perform diagnosis and monitor the progress of treatment, efficiency of treatment methods, also to estimate the health status and to make prognosis of the diseases evolution. The aim of the presented research is to check the goodness of fit test for thicknesses of the skin tumours measured in two different ways (ultrasound examination and histological analysis) and to compare the compatibility of likely density of histological thicknesses distribution of the skin tumours and density of Normal distribution. As a result, the study has showed that thicknesses of the skin tumours measured by ultrasonic method are strongly similar to histological values, which means that the density of ultrasonic thicknesses distribution and density of Normal distribution are closely interconnected. Therefore, the obtained results show the sufficient level of reliability in the case of application of non-invasive ultrasonic thickness measurement comparing with reference invasive technique based on biopsy and histological thickness evaluation.