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基于声学显微镜和红外光谱映射成像的早期原位黑色素瘤诊断系统

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

作者信息

Karagiannis Georgios Th, Grivas Ioannis, Tsingotjidou Anastasia, Apostolidis Georgios, Tsardaka Eirini, Dori Ioanna, Poulatsidou Kyriaki-Nefeli, Tsougos Ioannis, Wesarg Stefan, Doumas Argyrios, Georgoulias Panagiotis

机构信息

"ORMYLIA" Foundation, 63071 Ormylia, Greece.

Diagnosis Multisystems, 63200 Nea Moudania, Greece.

出版信息

Cancers (Basel). 2025 Aug 7;17(15):2599. doi: 10.3390/cancers17152599.

DOI:10.3390/cancers17152599
PMID:40805294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12345681/
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.

摘要

本研究基于肿瘤形成过程中的形态学和生化变化,提出了一种用于早期检测皮肤黑色素瘤的新型诊断系统。该系统所采用的方法是声学显微镜和红外(IR)光谱法。前者在微米尺度上识别正在形成的肿瘤的解剖学参数,而后者识别其生化特征。为实施这种诊断方法,开发了一种模拟人类黑色素瘤的动物模型。本研究结果表明,将高频(>20 MHz)声学显微镜与光谱图像结合使用,可提供有关黑色素瘤肿瘤三维结构独特特征的有用信息。使用传统组织学评估肿瘤的结构和细胞结构,并通过组织学和免疫组织化学分析确认其恶性性质。所提出的方法可能为诊断皮肤病学提供一种宝贵的工具,因为它是非侵入性的,并且能产生关于黑色素瘤肿瘤早期出现和发展的高度详细和准确的数据。

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