Automatic detection of perforators for microsurgical reconstruction

This is the authors' abstract. We don't add key points for this paper.

We read with interest the article by Mavioso et al. this is a valuable pilot study on the use of artificial intelligence (AI) in preoperative mapping of perforators with computed tomography (CTA) [1]. Selection of the best perforators is of uttermost importance, as it is the only source of blood supply to the flap. This selection reduces operative time, lower complication rates and ensure an overall better result [2]. The current gold standard for perforator selection is CTA but it has disadvantages: use of intravenous (IV) contrast agents and ionizing radiation, high purchasing costs, a lack of perioperative usability, and a lack of physiological information on flow characteristics [3].