News | Lung Cancer | May 12, 2016

Crowd-Sourced Challenge to Identify Best CT Scanners for Lung Screening

Clinical imaging sites will submit data to facilitate protocol, image quality assessment in lung cancer, COPD applications

lung cancer, CT, computed tomography, COPD, Screening Protocol Challenge

May 12, 2016 — A new approach for identifying the best computed tomography (CT) imaging methods for lung cancer and chronic obstructive pulmonary disease (COPD) was recently launched by the Prevent Cancer Foundation and advisors to its annual Quantitative Imaging Workshop. The CT Lung Cancer Screening Protocol Challenge, the first crowd-sourced and ultra-low cost challenge of its kind, was launched by the Foundation and its advisory committee to help the lung cancer and COPD imaging research communities determine the best CT scanners and protocols for detecting early lung cancer and areas of the lungs that have been damaged due to emphysema. These clinical imaging tasks require high levels of CT scanner image quality and are essential to delivering high-performance CT lung cancer and COPD screening.

With these new image quality assessment methods, the lung cancer and COPD imaging communities now have a powerful new tool for establishing effective methods for lung screening. The initial challenge, focused solely on lung cancer, resulted in 28 clinical imaging sites participating. The initial CT data submitted from these sites is revealing many insights into CT scanner utilization and performance for major thoracic diseases.

Due to the success of the initial launch, and in conjunction with the Foundation’s “Quantitative Imaging Workshop XIII: Lung Cancer, COPD and Cardiovascular Disease – Exploring the Intersections” (June 13-14, 2016 in Bethesda, Md.), the Prevent Cancer Foundation, Lung Cancer Alliance and Accumetra LLC are now working with the COPD Foundation to expand the scope and clinical site enrollment in the challenge to include support for COPD.

All global lung cancer and COPD imaging clinical sites are invited to participate. The initial data submission phase for this first challenge ends on May 31, 2016, and initial findings will be released on June 13, 2016 at the Quantitative Imaging Workshop XIII. The data acquired from this challenge and free image quality service will assist the radiological community in developing and setting new standards for lung cancer and COPD quantitative imaging. Clinical sites may contribute data past the May 31, 2016 deadline and join a longer-term study to establish improved lung imaging methods.

For more information:

Related Content

Videos | Computed Tomography (CT) | July 19, 2019
Quynh Truong, M.D., MPH, associate professor of radio
Low Doses of Radiation Promote Cancer-capable Cells
News | Radiation Dose Management | July 18, 2019
Low doses of radiation equivalent to three computed tomography (CT) scans, which are considered safe, give cancer-...
New Lung Ambition Alliance Aims to Double Five-year Lung Cancer Survival by 2025
News | Lung Cancer | July 17, 2019
The International Association for the Study of Lung Cancer (IASLC), Guardant Health, the Global Lung Cancer Coalition (...
Example of an intentionally truncated CT image

Figure 1: Example of an intentionally truncated CT image. The truncation percentage was calculated as the ratio of the patient border touching the field of view to the total patient border (red/(read+blue)). Image courtesy of Qaelum.

Feature | Radiation Dose Management | July 15, 2019 | Niki Fitousi, Ph.D., and An Dedulle
One of the main benefits of a radiation dose management system is the possibility to automatically generate alerts when...
Routine scan of abdomen pelvis taken with the UW-Madison’s Revolution 256 CT scanner using the FDA-cleared reconstruction algorithm, called TrueFidelity.

Routine scan of abdomen pelvis taken with the UW-Madison’s Revolution 256 CT scanner using the FDA-cleared reconstruction algorithm, called TrueFidelity. UW-Madison was the first site in the U.S. to get this technology. Its use is now being integrated into UW CT protocols. Image courtesy of Timothy P. Szczykutowicz

Feature | Computed Tomography (CT) | July 12, 2019 | By Greg Freiherr
When providers develop their own imaging protocols, they are wasting time and money, according to...
Mednax National Cardiac Centers of Excellence Program Highlighted at SCCT 2019
News | CT Angiography (CTA) | July 11, 2019
Mednax Inc. and Mednax Radiology Solutions announced that Chief Medical Officer Ricardo C. Cury, M.D., FSCCT, will...
Achenbach to Receive Inaugural 2019 Stephan Achenbach Pioneer Award in Cardiovascular CT
News | Cardiac Imaging | July 10, 2019
The Society of Cardiovascular Computed Tomography (SCCT) will present Stephan Achenbach, M.D., FSCCT with the inaugural...
Researchers Use Artificial Intelligence to Deliver Personalized Radiation Therapy
News | Radiation Therapy | July 09, 2019
New Cleveland Clinic-led research shows that artificial intelligence (AI) can use medical scans and health records to...
Jonathon Leipsic Awarded 2019 DeHaan Award for Innovation in Cardiology
News | Cardiac Imaging | July 08, 2019
Jonathon A. Leipsic, M.D., FSCCT, is the recipient of the 2019 DeHaan Award for Innovation in Cardiology, announced by...