Contact Sales

-26th March 2015

Team led by Lyndsey Pickup of Mirada Medical wins first ever Lungx Grand Challenge at SPIE

BELLINGHAM, Washington, and ORLANDO, Florida, USA -- Improved computer-aided diagnostics (CAD) for detecting lung cancer got a push forward via a well-received Grand Challenge competition which culminated at the recent SPIE Medical Imaging symposium in Orlando, Florida. The symposium ran 21-27 February, and attracted 1,100 researchers, scientists, and clinicians.

The first-ever LUNGx Grand Challenge, aimed at developing quantitative image analysis methods for the diagnostic classification of malignant and benign lung nodules, was sponsored by event organizer SPIE, the international society for optics and photonics; the American Association of Physicists in Medicine (AAPM); and the U.S. National Cancer Institute (NCI).

The results of 13 algorithms from 11 groups were compared, more than average for other NCI Grand Challenges, noted Lubomir Hadjiiski (University of Michigan Health System). Hadjiiski, along with Georgia Tourassi (Oak Ridge National Lab), chaired the CAD conference, which hosted the LUNGx Challenge event.

Judges named a team led by Lyndsey Pickup of Mirada Medical UK as the winner. A team led by Yoganand Balagurunathan of the Moffitt Cancer Center at the University of Arizona was named runner-up. (See photo below.)

The LUNGx Grand Challenge enabled entrants to compare their algorithms in a structured, direct way using the same data sets and in the process, play a vital role in the selection of promising classes of algorithms and systems for further clinical translational efforts. Goals are to prompt advances in CAD and thereby precision medicine.   Read the full article here