Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy

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作者
Gregory T. Kennedy
Feredun S. Azari
Elizabeth Bernstein
Bilal Nadeem
Ashley Chang
Alix Segil
Sean Carlin
Neil T. Sullivan
Emmanuel Encarnado
Charuhas Desphande
Sumith Kularatne
Pravin Gagare
Mini Thomas
John C. Kucharczuk
Gaetan Christien
Francois Lacombe
Kaela Leonard
Philip S. Low
Aline Criton
Sunil Singhal
机构
[1] University of Pennsylvania School of Medicine,Department of Surgery
[2] University of Pennsylvania School of Medicine,Department of Radiology
[3] University of Pennsylvania School of Medicine,Department of Pathology
[4] On Target Laboratories,Department of Chemistry
[5] Mauna Kea Technologies,undefined
[6] Purdue University,undefined
来源
Nature Communications | / 13卷
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摘要
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.
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