Molecular imaging can identify the location to perform a frozen biopsy during intraoperative frozen section consultation
| Autor: | Charuhas Deshpande, Lydia G. Frenzel-Sulyok, Mitchell G. Bryski, Leslie A. Litzky, Sunil Singhal, E. James Delikatny |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Fluorescence-lifetime imaging microscopy
Biopsy 030204 cardiovascular system & hematology Pathology and Laboratory Medicine Lung and Intrathoracic Tumors chemistry.chemical_compound Mice 0302 clinical medicine Spectrum Analysis Techniques Surgical oncology Medicine and Health Sciences Medicine Frozen Sections Multidisciplinary medicine.diagnostic_test Small footprint Optical Imaging near-Infrared Spectroscopy Tail vein Molecular Imaging Laboratory Equipment Oncology 030220 oncology & carcinogenesis Engineering and Technology Research Article Imaging Techniques Science Equipment Infrared Spectroscopy Research and Analysis Methods 03 medical and health sciences Signs and Symptoms Malignant Tumors Fluorescence Imaging Cryostats Animals Humans Colorectal Cancer Frozen section procedure business.industry technology industry and agriculture Cancers and Neoplasms chemistry Anatomical Pathology Surgical Pathology Lesions Molecular imaging Clinical Medicine business Nuclear medicine Indocyanine green |
| Zdroj: | PLoS ONE, Vol 16, Iss 6, p e0252731 (2021) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Background Intraoperative frozen section (FS) consultation is an important tool in surgical oncology that suffers from sampling error because the pathologist does not always know where to perform a biopsy of the surgical specimen. Intraoperative molecular imaging is a technology used in the OR to visualize lesions during surgery. We hypothesized that molecular imaging can address this pathology challenge in FS by visualizing the cancer cells in the specimen in the pathology suite. Here, we report the development and validation of a molecular-imaging capable cryostat called Smart-Cut. Methods A molecular imaging capable cryostat prototype was developed and tested using a murine model. Tumors grown in mice were targeted with a NIR contrast agent, indocyanine green (ICG), via tail vein injection. Tumors and adjacent normal tissue samples were frozen sectioned with Smart-Cut. Fluorescent sections and non-fluorescent sections were prepared for H&E and fluorescent microscopy. Fluorescent signal was quantified by tumor-to-background ratio (TBR). NIR fluorescence was tested in one patient enrolled in a clinical trial. Results The Smart-Cut prototype has a small footprint and fits well in the pathology suite. Fluorescence imaging with Smart-Cut identified cancerous tissue in the specimen in all 12 mice. No false positives or false negatives were seen, as confirmed by H&E. The mean TBR in Smart-Cut positive tissue sections was 6.8 (SD±3.8). In a clinical application in the pathology suite, NIR imaging identified two lesions in a pulmonary resection specimen, where traditional grossing only identified one. Conclusion Molecular imaging can be integrated into the pathology suite via the Smart-Cut device, and can detect cancer in frozen tissue sections using molecular imaging in a murine model. |
| Databáze: | OpenAIRE |
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