Fully Automated Software Identifies Asymptomatic Spinal Fractures in CT Scans

Osteoporosis affects approximately 200 million people worldwide, leading to about nine million fragility fractures each year, with vertebral fractures (VFs) being the most common. This disease often progresses silently, causing pain, decreased mobility, and a lower quality of life. It also places a significant burden on global public health systems due to increased treatment costs and mortality rates, presenting a challenge to society. Presently, over two-thirds of spinal fractures remain undiagnosed. Now, a fully automated software has been developed to identify asymptomatic spinal fractures in CT scans.

Developed by ImageBiopsy Lab (Vienna, Austria), in partnership with UCB (Brussels, Belgium), the IB Lab FLAMINGO software analyzes CT images that include the spine, such as those of the thorax and abdomen, thus eliminating the need for additional exams, radiation exposure, or extra costs. It employs the Genant classification, which is considered the gold standard, to identify relevant fractures. This enables healthcare professionals to proactively manage and treat these conditions. The IB Lab FLAMINGO is a part of ImageBiopsy Lab's ZOO MSK platform. This integration aims to minimize the number of overlooked spinal fractures and enhance the early detection and treatment of osteoporosis in hospital settings.

Image: IB Lab FLAMINGO is designed for the automatic detection and classification of vertebral fractures on CT scans (Photo courtesy of ImageBiopsy Lab)

"Given that 80% of fragility fractures today remain undiagnosed and untreated, we're excited about the potential of IB Lab FLAMINGO to help close the global treatment gap in osteoporosis", said Jen Timoshanko, Head of Medical Affairs, Bone Health Mission at UCB.

"Our partnership with UCB highlights the potential of leveraging AI for improving care for many diseases, including osteoporosis" added Richard Ljuhar, CEO at ImageBiopsy Lab.

Related Links:
ImageBiopsy Lab
UCB