News | Computed Tomography (CT) | August 08, 2016

Initial Results Reported for First Crowd-Sourced CT Image Quality Study

Findings of ultra-low cost study reveal more differences in CT lung cancer screening protocols than expected, highlighting need for better communication, education and resources

CT lung cancer screening, computed tomography, crowd-sourced study, image quality, Prevent Cancer Foundation workshop

August 8, 2016 — An overview of the initial findings and results from the CT Lung Screening Protocol Challenge was announced at the Prevent Cancer Foundation Quantitative Imaging Workshop on June 13, 2016.

This first-of-its-kind study allowed researchers to evaluate the protocols and image quality performance of currently-deployed computed tomography (CT) scanners for low-dose CT lung cancer screening. The researchers also obtained initial data on the applicability of these scanners and protocols for chronic obstructive pulmonary disease (COPD). The use of 3M Scotch Magic tape as an image quality reference object provided an ultra-low cost and novel method of evaluating fundamental CT image quality performance across a scanner’s field of view. 3M Scotch tape is manufactured so that this product’s dimensions are extremely consistent.

Over a two-month data collection period, the information received from CT lung cancer screening image data was automatically analyzed. Data were received from 26 healthcare institutions, 53 CT scanners and approximately 128 individual CT scans. Preliminary analysis of the study data revealed larger differences in CT scanning protocols than expected, despite low-dose lung cancer screening recommendations and guidelines from major societies. These data highlighted the need for more communication, education and resources for establishing and verifying CT imaging protocols.

The study data also revealed a critical need to continue collecting large databases of image quality data and also revealed many opportunities to improve CT scanners and imaging methods to better support detection and quantitative measurement of early lung disease.

The Challenge data review committee is now preparing a manuscript of the preliminary Challenge findings, which will be submitted for review in August.

For more information:

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
Siemens Healthineers Announces First U.S. Install of Somatom go.Top CT
News | Computed Tomography (CT) | September 17, 2018
September 17, 2018 — The Ohio State University Wexner Medical Center in Columbus recently became the first healthcare
Veye Chest version 2
News | Lung Cancer | September 11, 2018
Aidence, an Amsterdam-based medical AI company, announced that Veye Chest version 2, a class IIa medical device, has
The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

Sponsored Content | Case Study | Radiation Dose Management | September 07, 2018
Radiation dose management is central to child patient safety. Medical imaging plays an increasing role in the accurate...
Carestream Releases Second-Generation Metal Artifact Reduction Software for OnSight 3D Extremity System
Technology | Computed Tomography (CT) | September 06, 2018
Carestream Health has started shipping a new software version for its Carestream OnSight 3D Extremity System that...

Image courtesy of Siemens Healthineers

Feature | CT Angiography (CTA) | September 06, 2018 | Dave Fornell
There have been a few big, recent advancements in cardiac computed tomography angiography (CCTA) imaging technology....
Key Patient Preparations for a CT Scan
News | Computed Tomography (CT) | September 05, 2018
The Center for Diagnostic Imaging (CDI) in Miami recently released a list of important preparations patients should...
PET Imaging Agent Predicts Brain Tau Pathology, Alzheimer's Diagnosis
News | PET Imaging | September 05, 2018
Eli Lilly and Co. and Avid Radiopharmaceuticals Inc. announced a Phase 3 study of positron emission tomography (PET)...
Check-Cap Announces Interim Results of European Study of C-Scan System Version 3
News | Colonoscopy Systems | September 04, 2018
Check-Cap Ltd. announced the interim results for its post-CE approval study of the C-Scan system Version 3, an...