Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy.
Gregory Thomas KennedyFeredun S AzariElizabeth BernsteinBilal NadeemAshley E ChangAlix SegilSean CarlinNeil T SullivanEmmanuel EncarnadoCharuhas DesphandeSumith KularatnePravin GagareMini ThomasJohn C KucharczukGaetan ChristienFrancois LacombeKaela LeonardPhilip S LowAline CritonSunil SinghalPublished in: Nature communications (2022)
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.
Keyphrases
- ultrasound guided
- fine needle aspiration
- photodynamic therapy
- papillary thyroid
- endothelial cells
- drug release
- fluorescence imaging
- fluorescent probe
- squamous cell
- optical coherence tomography
- lymph node metastasis
- high resolution
- cancer therapy
- magnetic resonance imaging
- computed tomography
- induced pluripotent stem cells
- deep learning
- high speed
- machine learning
- mass spectrometry
- childhood cancer
- magnetic resonance
- mesenchymal stem cells
- cell death