Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Nat Commun. 2022 May 17;13(1):2711. doi: 10.1038/s41467-022-30265-z.
Suspicious nodules detected by radiography are often investigated by biopsy, but the diagnostic yield of biopsies of small nodules is poor. Here we report a method-NIR-nCLE-to detect cancer at the cellular level in real-time during biopsy. This technology integrates a cancer-targeted near-infrared (NIR) tracer with a needle-based confocal laser endomicroscopy (nCLE) system modified to detect NIR signal. We develop and test NIR-nCLE in preclinical models of pulmonary nodule biopsy including human specimens. We find that the technology has the resolution to identify a single cancer cell among normal fibroblast cells when co-cultured at a ratio of 1:1000, and can detect cancer cells in human tumors less than 2 cm in diameter. The NIR-nCLE technology rapidly delivers images that permit accurate discrimination between tumor and normal tissue by non-experts. This proof-of-concept study analyzes pulmonary nodules as a test case, but the results may be generalizable to other malignancies.
放射学检测到的可疑结节通常通过活检进行研究,但小结节活检的诊断率较低。在这里,我们报告了一种方法-NIR-nCLE-可在活检过程中实时在细胞水平检测癌症。该技术将一种针对癌症的近红外(NIR)示踪剂与经过改良以检测 NIR 信号的基于针的共聚焦激光内窥镜(nCLE)系统相结合。我们在包括人类标本的肺结节活检的临床前模型中开发并测试了 NIR-nCLE。我们发现,当以 1:1000 的比例共培养时,该技术具有在正常成纤维细胞中识别单个癌细胞的分辨率,并且可以检测直径小于 2cm 的人类肿瘤中的癌细胞。NIR-nCLE 技术可快速提供图像,使非专业人员能够准确区分肿瘤和正常组织。这项概念验证研究分析了肺结节作为一个测试案例,但结果可能适用于其他恶性肿瘤。