Metric-based analysis of FTIR data to discriminate tissue types in oral cancer

Abstract

A machine learning algorithm (MLA) has predicted the prognosis of oral potentially malignant lesions and discriminated between lymph node tissue and metastatic oral squamous cell carcinoma (OSCC). The MLA analyses...

Tissue discrimination in head and neck cancer using image fusion of IR and optical microscopy

“…As previously noted, three molecular contributors that are important in OSCC and supported stroma composite are collagens, DNA and cytokeratins. 29,33 In this microenvironment, cytokeratins are localised in the cytoplasm of tumour cells, collagens in the stroma and DNA in the nuclei of tumour cells and immune/inflammatory cells in the stroma. The localisation has been repeatedly confirmed by multiple histochemical and immunohistochemical investigations.…”

Translating Biospectroscopy Techniques to Clinical Settings: A New Paradigm in Point-of-Care Screening and/or Diagnostics

“…Traditionally, one could have looked at what seemed a normal tissue architecture based on different coloured dyes binding to various cellular entities with no indication that there may be insidious disease about to emerge; the reason being that in this format, no underlying biochemical information is discernible [27]. The paradigm shift in biospectroscopy is that the spectrum-derived image map, in addition to showing tissue architecture, also contains and exhibits underlying biochemical information [28]. Such capability to be integrated into clinical workflows [29] could facilitate the objective prediction of disease [30] and even response to treatment [31], e.g., platinum-based chemotherapy.…”

Cervical Squamous Cell Carcinoma Diagnosis by FTIR Microspectroscopy

“…Moreover, its specificity exceeds that obtained by histopathological analysis, which can only identify morphological changes that occur upon chemical variations. In sum, FTIR microspectroscopy enables a rapid and reliable detection of differences in chemical composition between normal and malignant samples [ 29 , 30 ], which are responsible for subsequent morphological variations observed in histopathology. In the last few years, infrared microspectroscopy has been successfully applied to the diagnosis of various types of malignancies, including lung, breast, thyroid, brain, and skin cancers [ 31 , 32 , 33 , 34 , 35 , 36 , 37 ].…”