Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Chiba 277-8577, Japan.
Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba 278-8510, Japan.
Sensors (Basel). 2021 Apr 9;21(8):2649. doi: 10.3390/s21082649.
In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000-1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues.
在这项研究中，开发了一种腹腔镜成像设备和一个能够通过带通滤波器选择波长的光源，以便在腹腔镜下对超过 1000nm 的近红外光（OTN-NIR）进行多光谱成像（MSI）。随后，使用内置设备在 9 只活体小鼠肿瘤植入前后进行 MSI（波长：1000-1400nm）。将在小鼠内捕获的正常和肿瘤像素用作教学数据集，并使用在留出一次交叉验证过程后应用的神经网络对肿瘤植入小鼠数据进行分类。该系统对皮下肿瘤的特异性为 89.5%，敏感性为 53.5%，准确性为 87.8%。在所有肿瘤植入小鼠中均确认了聚合的真阳性（TP）像素，这表明腹腔镜 OTN-NIR MSI 可能在体内潜在地用于分类深层组织中的癌症等目标病变。
