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




Lesion Size Seen on Chest CT Scans Affected by Radiation Dose Level

By MedImaging International staff writers
Posted on 07 May 2013
The estimated size of chest lymph nodes and lung nodules visualized on computed tomography (CT) images differs considerably when they were examined using lower versus higher doses of radiation.

The size of lymph nodes and lung nodules is an important determinant of treatment and treatment success. The study, conducted at Massachusetts General Hospital (Boston, MA, USA), employed a three-dimensional (3D) image processing application to quantitatively measure the volume of the lymph nodes and lung nodules. “We found that lymph node volumes were estimated at 30% lower in five cases and 10% higher in 15 cases of low dose compared to higher dose images,” said Dr. Beth Vettiyil, a lead author of the study. The study found that the calculated volume of lung nodules was 46% lower in nine cases and 34% higher in 10 cases on lower dose as compared to high dose images.

“We were surprised that in both the lymph nodes and lung nodules there were cases in which the lower dose picked up lower lesion volumes as well as higher lesion volumes when compared to the higher dose scans,” said Dr. Vettiyil. “We think that increased image noise [graininess of the image] on the lower dose scans may have caused the lesion volumes to vary so significantly,” she said.

The aim of the study was to examine the possibility of using image processing tools to better delineate lesions at low radiation doses without missing any clinical information, noted Dr. Vettiyil. “The study indicates that radiologists can use these types of quantitative tools to supplement them in their measurements, but the use of such software measurements without the radiologist’s clinical correlation might not be advisable at this stage,” concluded Dr. Vettiyil.

The study was presented during the American Roentgen Ray Society (ARRS) annual meeting, held April 2013 in Washington DC (USA).

Related Links:

Massachusetts General Hospital



Ultra-Flat DR Detector
meX+1717SCC
Ultrasound Imaging System
P12 Elite
Biopsy Software
Affirm® Contrast
Digital Intelligent Ferromagnetic Detector
Digital Ferromagnetic Detector

Channels

Ultrasound

view channel
Image: The new implantable device for chronic pain management is small and flexible (Photo courtesy of The Zhou Lab at USC)

Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery

Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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 © 2000-2025 Globetech Media. All rights reserved.