Erosions and ankylosis in patients with sacroiliitis are detectable to a high degree of accuracy on CT images using an AI–based algorithm, according to research presented at ICS 2022. RheumTwitter
Becky McCallErosions and ankylosis in patients with sacroiliitis are detectable to a high degree of accuracy on CT images using an artificial intelligence –based algorithm, according to research presented at the 13th International Congress on Spondyloarthritides.
He stressed that, with thousands of images per patient, it is an impossible workload for any radiology department to read every image necessary to inform diagnoses, and this is only exacerbated by the shortage of rheumatologists, especially in the United States., head of rheumatology at Charité University Hospital, Berlin, acknowledged that AI has potential to improve the recognition of changes indicative of spondyloarthritis on imaging.
In the first instance, Jans explained, examination of CT images using the AI algorithm from patients who enter the hospital for other reasons, such as trauma, rheumatic diseases, kidney stones, or appendicitis, might lead to the detection of otherwise unknown erosions."Often patients have complained of backache for years, seeing various physiotherapists and similar, but had no idea what might be causing it," he said.
However, he added, the researchers used images from four different CT scanners and images from two different institutions – one in Canada and their own in Belgium, providing a case mix that makes their algorithm more refined.Mikael Boesen, MD, PhD Finally, Boesen pointed out that it would be interesting to see if the AI algorithm can detect different reasons for erosions."Especially [for] separation between mechanical and inflammatory courses. This could potentially be done by automatically mapping the location of the erosions in the SI joints."
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