Early diagnosis of skin cancer by ultrasound frequency analysis. Issue 11 (8th October 2019)

• Record Type: Journal Article
• Authors: Kia, Shabnam; Setayeshi, Saeed; Pouladian, Majid; Ardehali, Seyed Hossein
• Is Part Of: Journal of applied clinical medical physics. Volume 20:Issue 11(2019)
• Page Start: 153
• Page End: 168
• Publication Date: 2019-10-08
• Subjects: biological resonance theory -- discrete cosine transform -- early detection -- frequency analyzes -- skin cancer diagnosis -- skin sonography; Medical physics -- Periodicals; Clinical medicine -- Periodicals; Health Physics; Clinical Medicine; Electronic journals; Periodicals; Periodicals; Fulltext; Internet Resources; 610.153
• DOI: 10.1002/acm2.12671
• Languages: English
• ISSNs: 1526-9914

Abstract

Abstract: The diagnosis of cancer by modern computer tools, at the very first stages of the incident, is a very important issue that has involved many researchers. In the meantime, skin cancer is a great deal of research because many people are involved with it. The purpose of this paper is to introduce an innovative method based on tissue frequency analyzes to obtain the accurate and real‐time evaluation of skin cancers. According to the Biological resonance theory, body cells have natural and unique frequencies based on their biological fluctuations, which, if the structure, profile and cellular status change, its frequency also varies. This concept and theory is considered as the basis for analyzing skin tissue health in the proposed method. Reflected ultrasound waves from tissue have been processed and studied based on frequency analysis as a new method for early detection and diagnosis of accurate location and type of skin diseases. The developed algorithm was approved through 400 patients from CRED; its ability to evaluate benign and malignant skin lesions was shown (AUC = 0.959), with comparable clinical precision; as for the selected threshold, sensitivity, and specificity were 93.8% and 97.3%, respectively. Therefore, this method can detect skin malignancy with an accurate, noninvasive and real‐time procedure.