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Related Concept Videos

Skin Cancer01:30

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Related Experiment Video

Updated: Sep 11, 2025

Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry
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Diagnostic System for Early In Situ Melanoma Detection Using Acoustic Microscopy and Infrared Spectroscopic Mapping

Georgios Th Karagiannis1,2, Ioannis Grivas3, Anastasia Tsingotjidou3

  • 1"ORMYLIA" Foundation, 63071 Ormylia, Greece.

Cancers
|August 14, 2025
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Summary

This study introduces a new noninvasive system for early melanoma detection using acoustic microscopy and infrared spectroscopy. It reveals detailed 3D tumor structures and biochemical features, aiding dermatological diagnosis.

Keywords:
acoustic microscopyinfrared spectroscopymelanoma early detectionmicrotomographynoninvasive examinationspectroscopic mapping imaging

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Area of Science:

  • Dermatology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Cutaneous melanoma is a significant health concern.
  • Early detection is crucial for effective treatment and improved patient outcomes.
  • Current diagnostic methods may have limitations in providing detailed morphological and biochemical information at early stages.

Purpose of the Study:

  • To develop and validate a novel, noninvasive diagnostic system for early cutaneous melanoma detection.
  • To integrate acoustic microscopy and infrared spectroscopy for comprehensive tumor analysis.
  • To assess the system's efficacy using an animal model mimicking human melanoma.

Main Methods:

  • Utilized high-frequency acoustic microscopy (>20 MHz) to capture micron-scale anatomical parameters of developing tumors.
  • Employed infrared (IR) spectroscopy to identify biochemical features of tumors at the micron scale.
  • Developed a relevant animal model that accurately mimics human melanoma progression.

Main Results:

  • The combined acoustic microscopy and IR spectroscopy approach provided detailed information on the 3D structures and cytoarchitecture of melanoma tumors.
  • Histological and immunohistochemical analyses confirmed the malignant nature of the tumors.
  • The system demonstrated its capability to reveal distinct features of early-stage melanoma development.

Conclusions:

  • The proposed noninvasive diagnostic system offers a powerful tool for early cutaneous melanoma detection.
  • Integration of acoustic microscopy and IR spectroscopy provides highly detailed and accurate data on tumor morphology and biochemistry.
  • This approach has the potential to significantly advance diagnostic dermatology.