PDF(Pubmed)
Abstract：
With rising melanoma incidence and mortality, early detection and surgical removal of primary lesions is essential. Multispectral imaging is a new, non-invasive technique that can facilitate skin cancer detection by measuring the reflectance spectra of biological tissues. Currently, incident illumination allows little light to be reflected from deeper skin layers due to high surface reflectance. A pilot study was conducted at the University Hospital Basel to evaluate, whether multispectral imaging with direct light coupling could extract more information from deeper skin layers for more accurate dignity classification of melanocytic lesions. 27 suspicious pigmented lesions from 23 patients were included (6 melanomas, 6 dysplastic nevi, 12 melanocytic nevi, 3 other). Lesions were imaged before excision using a prototype snapshot mosaic multispectral camera with incident and direct illumination with subsequent dignity classification by a pre-trained multispectral image analysis model. Using incident light, a sensitivity of 83.3% and a specificity of 58.8% were achieved compared to dignity as determined by histopathological examination. Direct light coupling resulted in a superior sensitivity of 100% and specificity of 82.4%. Convolutional neural network classification of corresponding red, green, and blue lesion images resulted in 16.7% lower sensitivity (83.3%, 5/6 malignant lesions detected) and 20.9% lower specificity (61.5%) compared to direct light coupling with multispectral image classification. Our results show that incorporating direct light multispectral imaging into the melanoma detection process could potentially increase the accuracy of dignity classification. This newly evaluated illumination method could improve multispectral applications in skin cancer detection. Further larger studies are needed to validate the camera prototype.
摘要：
随着黑色素瘤发病率和死亡率的上升，早期发现和手术切除原发性病变至关重要。多光谱成像是一种新的,非侵入性技术，可以通过测量生物组织的反射光谱来促进皮肤癌的检测。目前,由于高表面反射率,入射照明允许很少的光从较深的皮肤层反射。在巴塞尔大学医院进行了一项试点研究，直接光耦合的多光谱成像是否可以从更深的皮肤层中提取更多信息，以更准确地对黑素细胞病变进行尊严分类。包括23例患者中的27例可疑色素性病变（6例黑色素瘤，6发育不良痣，12黑素细胞痣，3其他）。切除前使用原型快照马赛克多光谱相机对病变进行成像，该相机具有入射和直接照明，随后通过预先训练的多光谱图像分析模型进行尊严分类。使用入射光，与通过组织病理学检查确定的尊严相比,敏感性为83.3%,特异性为58.8%.直接光耦合导致100%的灵敏度和82.4%的特异性。卷积神经网络对相应的红色进行分类，绿色,蓝色病变图像导致灵敏度降低16.7%(83.3%，与多光谱图像分类的直接光耦合相比，检测到5/6恶性病变）和20.9％的特异性较低（61.5％）。我们的结果表明，将直射光多光谱成像纳入黑色素瘤检测过程可能会提高尊严分类的准确性。这种新评估的照明方法可以改善皮肤癌检测中的多光谱应用。需要进一步的更大的研究来验证相机原型。
