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  4. Diagnostic System for Early In Situ Melanoma Detection Using Acoustic Microscopy and Infrared Spectroscopic Mapping Imaging
 
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2025
Journal Article
Title

Diagnostic System for Early In Situ Melanoma Detection Using Acoustic Microscopy and Infrared Spectroscopic Mapping Imaging

Abstract
This study proposes a novel diagnostic system for the early detection of cutaneous melanoma based on morphological and biochemical changes during tumor formation. The methods used in this system are acoustic microscopy and infrared (IR) spectroscopy. The former identifies the anatomical parameters of the developing tumor, whilst the latter identifies its biochemical features, both at the micron scale. To implement this diagnostic method, an animal model that mimics human melanoma was developed. The results of this investigation show that using high-frequency (>20 MHz) acoustic microscopy in conjunction with spectroscopic images provides useful information about distinct features of melanoma tumors’ 3D structures. The structures and cytoarchitecture of the tumors were assessed using conventional histology, and their malignant nature was confirmed using histological and immumohistochemical analysis. The proposed approach may provide an invaluable tool in diagnostic dermatology, as it is noninvasive and produces highly detailed and accurate data about the early appearance and development of melanoma tumors.
Author(s)
Karagiannis, Georgios th
Ormylia Foundation
Grivas, Ioannis
Aristotle University of Thessaloniki  
Tsingotjidou, Anastasia
Aristotle University of Thessaloniki  
Apostolidis, Georgios
Ormylia Foundation
Tsardaka, Eirini
Ormylia Foundation
Dori, Ioanna
Poulatsidou, Kyriaki-Nefeli
Tsougos, Ioannis
Aristotle University of Thessaloniki  
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Doumas, Argyrios
Aristotle University of Thessaloniki  
Georgoulias, Panagiotis
University of Thessaly
Journal
Cancers  
Project(s)
MELANOMA LS7(52)
Nondestructive diagnosis of self-healing concrete damages using remote sensing and tomography techniques "Crack Healing"
Funder
European Union  
European Union  
Open Access
File(s)
Download (30.32 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.3390/cancers17152599
10.24406/publica-5175
Additional link
Full text
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Healthcare

  • Research Line: Computer vision (CV)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Acoustic microscopy

  • Infrared spectroscopy

  • Skin cancer

  • Computer aided diagnosis

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