Coherent Raman Scattering Microscopy for Evaluation of Head and Neck Carcinoma

Abstract

Objective We aim to describe a novel, label-free, real-time imaging technique, coherent Raman scattering (CRS) microscopy, for histopathological evaluation of head and neck cancer. We evaluated the ability of CRS microscopy to delineate between tumor and non-neoplastic tissue in tissue samples from head and neck cancer patients. Study Design Prospective Case Series Setting Tertiary Care Medical Center Subjects and Methods Patients eligible were surgical candidates with biopsy proven, previously untreated head and neck carcinoma and were consented pre-operatively for participation in this study. Tissue was collected from 50 patients, and after confirmation of tumor and normal specimens by H&E, there were 42 tumor samples and 42 normal adjacent controls. Results There were 42 confirmed carcinoma specimens on H&E, CRS microscopy identified 38 as carcinoma. Of the 42 normal specimens, CRS microscopy identified 40 as normal. This resulted in a sensitivity of 90.5% and specificity of 95.2% in distinguishing between neoplastic and non-neoplastic images. Conclusion CRS microscopy is a unique label free imaging technique that can provide rapid, high-resolution images, and can accurately determine the presence of head and neck carcinoma. This holds potential for implementation into standard practice, allowing frozen margin evaluation even at institutions without a histopathology laboratory.

A New Look into Cancer—A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance

“…Likewise, Hoesli and co-workers used CRS microscopy ( Section 3.2 , Figure 1 b) to observe 42 HNC samples and 42 healthy sections adjacent to the tumour, two-coloured images being generated, highlighting the stretching mode of from lipids in the cytoplasm and the stretching mode from proteins and lipids [ 142 ]. Sample preparation and acquisition was claimed to have taken 30 s, and the analysis of the CRS images was performed by a trained pathologist: the correspondence between the CRS and H&E images being 88% sensitivity and 95% specificity ( Figure 8 ).…”

Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study

“…The CARS, TPEF, and SHG combination has the potential for a fast screening method. Meanwhile, the accuracy of CARS as a fast label‐free technique for the evaluation of head and neck cancer has been confirmed by the second working group . Raman spectroscopy is so far not suitable as screening tool due to the long acquisition time.…”

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

“…Jeng, 2020, Taiwan [87] Raman/ autofluorescence Hoesli, 2017, USA [90] SRS Tissue from 50 patients, from which 42 tumor samples and 42 normal adjacent controls were chosen.…”

“…Correct classification of OSCC tumors into three grades was achieved with an accuracy of 98%. Stimulated Raman Scattering was explored by Hoesli et al [90] to differentiate normal and cancerous tissue from head and neck cancer patients. 42 tumor samples and 42 normal adjacent controls were derived from 50 patients, and diagnostic sensitivities and specificities of 91 and 95% were achieved, respectively, for neoplastic vs non-neoplastic images.…”