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




Model Revealed for Tailoring Pediatric CT Dose

By MedImaging International staff writers
Posted on 06 Sep 2017
Print article
Image: The image shows the effect of reconstruction Field of View (FOV) size on the displayed diameter of a nodule in a five week old, and a 12-year-old child (Photo courtesy of Ehsan Samei, Donald Frush, and Xiang Li).
Image: The image shows the effect of reconstruction Field of View (FOV) size on the displayed diameter of a nodule in a five week old, and a 12-year-old child (Photo courtesy of Ehsan Samei, Donald Frush, and Xiang Li).
Scientists have revealed a new scientific framework that will enable clinicians to tailor a precise radiation dose, and achieve the best image quality for pediatric patients.

Size-specific Computed Tomography (CT) imaging protocols are decided based on diagnostic accuracy per procedure, patient size, and radiation dose. The size of pediatric patients is a dominant factor for imaging structures in the body and tissues.

The scientists from the Duke University Medical Center (DukeHealth; Durham, NC, USA) and the Cleveland Clinic (Cleveland, OH, USA) published the results of their research online in the August 21, 2017, issue of the Journal of Medical Imaging.

The authors of the study based the new research on two of their own prior foundational studies, in which they assessed radiation dose, effective dose, and the risk index for nine pediatric age-size groups. The studies included simulated lesions, and added noise, and were assessed for the accuracy of nodule detection. The researchers then used the accuracy-dose relationships to optimize scan parameters for each category of patients.

The new model that the researchers developed is intended to help clinicians optimize individual scan parameters for a large range of pediatric body sizes, providing consistent diagnostic performance. The framework could also be used in the future for optimizing medical imaging exams across pediatric and adult patients, and other imaging modalities.

Associate Editor of the Journal of Medical Imaging, Christoph Hoeschen, Otto-von-Guericke Universität, said, "This is really a big step forward in imaging brain tumors and other issues in young patients. This methodology can serve as an advanced strategy to analyze the accuracy-dose tradeoff for other imaging systems, imaging technologies, or clinical tasks."

Related Links:
Duke University Medical Center
Cleveland Clinic

Wall Fixtures
MRI SERIES
Portable Color Doppler Ultrasound Scanner
DCU10
New
Half Apron
Demi
New
Post-Processing Imaging System
DynaCAD Prostate

Print article

Channels

Nuclear Medicine

view channel
Image: The prostate cancer imaging study aims to reduce the need for biopsies (Photo courtesy of Shutterstock)

New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer

Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... 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.