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

Download Mobile App




Model Estimating Radiation Skin Doses During CT-Guided Interventions Developed

By HospiMedica International staff writers
Posted on 10 Dec 2008
A new model that would allow interventional radiologists (those who specialize in fine needle aspiration, fine needle biopsy, and radiofrequency ablation) to better estimate patient radiation skin doses during computed tomography- (CT)-guided interventional procedures has been developed, according to a new study.

"It is clear that skin doses in CT-guided interventional procedures can become very high. More...
Even for skin doses around 1 Gy, the prospect of repeating a procedure makes the determination of peak skin dose crucial for avoiding radiation injuries,” said Ioannis A. Tsalafoutas, Ph.D., from Agios Savvas and Konstantopoulio Hospitals (Athens, Greece) and his coauthors of the study, which was published in the November 2008 issue of the American Journal of Roentgenology (AJR).

The hypothetical model that was developed considers the skin dose resulting from each CT slice, utilizing data that are already stored along with CT images. The skin doses calculated with this model were compared with those measured using films positioned under patients that underwent CT-guided interventional procedures. The results indicate that peak skin doses can be estimated accurately using the new theoretical model that provides a base for skin dose estimation in real time,” said Dr. Tsalafoutas and colleagues.

According to Dr. Tsalafoutas, it is vital for CT interventional radiologists to be able to monitor the radiation skin dose to their patient and optimize their techniques, to avoid skin injuries and lessen the potential for radiation-induced cancer. The first step toward this goal is to determine the risk, to quantify it, and to identify factors that affect it to be able to reduce it, reported the researchers in their article.

The method developed by Dr. Tsalafoutas and his colleagues could possibly lead to the development of specialized software for skin estimation in real time that "would be a significant technological advancement from the aspect of radiation protection,” reported Dr. Tsalafoutas and colleagues.

Related Links:

Agios Savvas Hospital



New
Gold Member
Neonatal Heel Incision Device
Tenderfoot
New
Gold Member
Handheld Blood Glucose Analyzer
STAT-Site
New
Creatinine/eGFR Meter
StatSensor® Creatinine/eGFR Meter
New
Syringe Pump
SP50 Series
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Critical Care

view channel
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)

Wearable AI Tool Predicts Hospitalization Risk in Heart Failure

Heart failure, a condition in which the heart cannot pump enough blood to meet the body’s needs, is a leading driver of unplanned hospital use. Clinicians often lack continuous insight into symptom changes... Read more

Health IT

view channel
Photo courtesy of Adobe Stock

Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings

Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.