使用VELscope内源性光成像和干血清拉曼光谱学进行前恶性和恶性口腔病变的基于特征的综合分类
Mukta Sharma1, Chia-Lung Tsai2, M V Arularasu3
1Graduate institute, Prospective Technology of electrical engineering and Computer Science, National Chin-Yi university of Technology, Taichung, Taiwan.
Photodiagnosis and photodynamic therapy
|October 19, 2025
概括
结合VELscope光成像和干血清拉曼光谱,可以改善口腔病变的诊断. 这种多模式的方法提供了86%的准确性,有助于区分前恶性和恶性疾病.
科学领域:
- 生物医学光学 生物医学光学
- 频谱学是一种光谱学.
- 口腔病理学 口腔病理学
背景情况:
- 精确区分口腔病变对于患者的治疗结果至关重要.
- 目前的诊断方法需要加强,以改善分类.
- 多式联络方法为更高的诊断准确性提供了潜力.
研究的目的:
- 评估一种新的口腔病变多式诊断方法.
- 为了结合内源光成像 (VELscope) 和干血清拉曼光谱.
- 为了提高前恶性和恶性口腔病变的分类准确性.
主要方法:
- 来自VELscope成像和拉曼光谱 (特征融合) 的综合特征.
- 在66名患者的数据上使用了高斯素朴贝叶斯分类器.
- 对完整数据集进行交叉验证,以评估诊断性能.
主要成果:
- 在区分病变类型方面取得了86%的准确性.
- 证明了0.94.9的精度回忆曲线下面的曲线面积 (AUC).
- 可视化非线性决策边界,突出补充数据特征.
结论:
- VELscope和拉曼光谱的多式融合提高了口腔病变的诊断准确性.
- 这种方法在小型,高维数据集中显示出临床实用性的希望.
- 为了更广泛的临床应用,建议在更大的队列中进一步验证.
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