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Title: Infrared spectroscopy as a clinical diagnostic method for detection of (pre-)cancerous areas of the oesophagus
Author: Foreman, L.
ISNI:       0000 0004 8503 4049
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2016
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Barrett's oesophagus (BE) is the pre-cursive disease state to oesophageal adenocarcinoma (OAC). Patients with BE undergo surveillance by histological examination of biopsies every 2 years; a qualitative, costly and time consuming process. Fourier Transform Infrared (FTIR) spectroscopy is a powerful analytical tool that uses infrared radiation to vibrate molecular bonds, giving chemical information about the tissue sample absorbing it. To characterise cell type and disease type changes within BE biopsies, analysis of four FTIR images that included BE disease stages was performed: squamous (SQ), nondysplastic BE (NDBE), low/high grade dysplasia (L/HGD) and OAC. Separation of SQ samples into either epithelium (EP) or lamina propria (LP) was achieved by hierarchical clustering analysis (HCA) of the 1200-1000 cm!1 spectral region. NDBE/LGD and HGD samples were separated into columnar EP (CEP) and LP using HCA of the 1610-1530 cm!1 spectral region. Disease progression in the EP was seen at 1260, 1169, 1154, 1033 and 1116 cm!1 and in the LP at 1154, 1045, 1233, 1114 and 1080 cm!1. These spectral characteristics were then used to build a multi-step partial least squares (PLS) diagnostic model of fresh biopsy single element attenuated total re"ectance (ATR-) FTIR measurements. A HGD/OAC sensitivity of 97%, a speci!city (not including inconclusive results) of 83% with an inconclusive rate of 18%.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available