Chemical imaging used to aid diagnosis of colon cancer | 8/9/2019 | Staff
KimmyPoo (Posted by) Level 3
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Researchers have developed a method of chemical imaging which identifies colon cancer more accurately and efficiently than traditional methods.

Colon cancer is the fourth most common cancer in the UK, causing 16,000 deaths each year. Early intervention ensures the highest chance of survival, but symptoms can often be mistaken for other illnesses.

Method - Computer - Analysis - Imaging - Techniques

This new method uses computer analysis to improve infrared imaging techniques and produce more accurate results, paving the way for clinicians to diagnose patients more efficiently.

"Chemical photographs"

Research - Team - Department - Chemical - Engineering

The research team in the Department of Chemical Engineering at Imperial College London used Fourier-transform infrared (FTIR) spectroscopic imaging to produce 'chemical photographs' of biopsy tissue samples ranging from heathy to cancerous.

FTIR imaging involves shining an infrared beam at a sample and measuring how much of that light is absorbed at different frequencies, which is used to produce a visual reference of the sample's chemical composition.

Results - Analytical - Bioanalytical - Chemistry - Show

The results, published in Analytical and Bioanalytical Chemistry, show significant chemical differences in the samples at different stages of disease. This is important because cell changes take place on a chemical level before any physical deformities occur, enabling clinicians to detect changes early on.

This study demonstrates the value of using FTIR spectroscopic imaging as a diagnostic tool for colon cancer, alongside tools such as colonoscopy, surgery and histopathology.

Researchers - Forest - RF - Programme - Data

The researchers also used a random forest (RF) classifier programme to analyse the data from the spectroscopic image. In doing so, they demonstrated for the first time that only the fingerprint region of the mid infrared spectrum (7-10 micrometers) is important when diagnosing cancerous malignancy.

This is significant because data taken from a wider...
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