ECR: AI algorithm quantifies fatty tissue on chest CT for lung cancer prognosis

VIENNA – A deep-learning algorithm used with chest CT can help clinicians quantify patients’ subcutaneous fat tissue levels on lung cancer screening — and thus better predict disease outcomes, according to a presentation delivered on 29 February at ECR 2024.

The findings could help clinicians tailor patient care, said presenter Dr. Fabian Pallasch of University Medical Center Freiburg in Germany.

“[We found that] subcutaneous adipose tissue density at baseline and a decrease in subcutaneous adipose tissue volume and density within one year [were] associated with mortality beyond clinical…