Predicting treatment outcome in sclerotherapy of reticular veins and telangiectasia using machine learning: A comprehensive analysis and performance evaluation

Cesur Samancı, Gökçen Yıldız Civan, Vefa Salt, Rauf Hamid, Orkun Civan, Ömer Faruk Sarıahmetoğlu, Seyfullah Halit Karagöz, Tuğba Bayraktar, Kıymet Sena Mucuk, Raziye Sena Yılmaz, Sahar Alizade, Tuğbanur Güleç, Fatih Gülşen, Ahmet Baş, Department of Radiology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Department of Radiology, Bakirkoy Dr Sadi Konuk Training , Research Hospital, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Ministry of Health, Years State Hospital

Vascular

Published online on February 17, 2026

Abstract

Vascular, Ahead of Print.
BackgroundAccurately predicting treatment responses in varicose vein sclerotherapy is crucial for improving patient quality of life and optimizing overall healthcare costs.PurposeOur study aims to accurately predict treatment responses in telangiectasia ...