We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Electronic Nose Sniffs Out Side Effects of Radiotherapy

By MedImaging International staff writers
Posted on 05 Mar 2013
Print article
Researchers have recently completed a study that may lead to clinicians being able to more effectively predict which patients will suffer from the side effects of radiotherapy.

Gastrointestinal side effects are typical occurrences in radiotherapy patients and are at times severe, but there are no existing means of predicting which patients will suffer from them. The pilot study’s findings, published September 2012 in the journal Sensors, described how the use of an electronic nose and a newer technology, field asymmetric ion mobility spectrometry (FAIMS) might help identify those at higher risk.

University of Warwick Medical School (Coventry, UK), working in collaboration with the School of Engineering and The Royal Marsden NHS [National Health Service] Foundation Trust (London, UK), led by Dr. J. Andreyev, conducted a pilot study to look into the connection between levels of toxicity in the gut and the probability of suffering side effects.

Dr. Ramesh Arasaradnam, from Warwick Medical School and gastroenterologist at University Hospitals Coventry & Warwickshire, summarized the outcome of the study findings. “In the simplest terms, we believe that patterns in toxicity levels arise from differences in a patient's gut microflora. By using this technology we can analyze stool samples and sniff out the chemicals that are produced by these microflora to better predict the risk of side effects.”

The pilot study’s success should lead to a wider study into the possible uses of these technologies and could be truly significant in helping clinicians inform patients receiving pelvic radiotherapy, before treatment is initiated. Dr. Arasaradnam clarified what this could suggest for radiotherapy patients, “In essence, we will be able to predict those who are likely to develop severe gut related side effects by the pattern of gut fermentation that are altered as a result of radiotherapy. This will enable future directed therapy in these high risk groups.”

Dr. James Covington, from the Warwick School of Engineering, added, “This technology offers considerable opportunities for the future. This shows just one application of being able to inform treatment by ‘sniffing’ patients. We foresee a time when such technology will become as routine a diagnostic test as checking blood pressure is today.”

In 2009, the same cutting edge gas sensor technology was taken from the automotive world and used to research into faster diagnosis for some gastrointestinal illnesses and metabolic disorders.

Related Links:
University of Warwick Medical School
Royal Marsden NHS Foundation Trust

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Portable X-ray Unit
AJEX130HN
New
Transducer Covers
Surgi Intraoperative Covers
New
Mini C-arm Imaging System
Fluoroscan InSight FD

Print article
Radcal

Channels

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.