Automated thermographic detection of blood vessels for DIEP flap reconstructive surgery.

Autor: De La Hoz EC; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium. edgar.cardenas@uantwerpen.be., Verstockt J; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium., Verspeek S; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium., Clarys W; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium., Thiessen FEF; Department of Plastic, Reconstructive and Aesthetic Surgery, Multidisciplinary Breast Clinic, Antwerp University Hospital, Wilrijkstraat 10, 2650, Antwerp, Antwerp, Belgium.; Department of Plastic, Reconstructive and Aesthetic Surgery, Ziekenhuis Netwerk Antwerpen, Lindendreef 1, 2020, Antwerp, Antwerp, Belgium., Tondu T; Department of Plastic, Reconstructive and Aesthetic Surgery, Multidisciplinary Breast Clinic, Antwerp University Hospital, Wilrijkstraat 10, 2650, Antwerp, Antwerp, Belgium.; Department of Plastic, Reconstructive and Aesthetic Surgery, Ziekenhuis Netwerk Antwerpen, Lindendreef 1, 2020, Antwerp, Antwerp, Belgium., Tjalma WAA; Gynaecological Oncology Unit, Department of Obstetrics and Gynaecology, Multidisciplinary Breast Clinic, Antwerp University Hospital, Wilrijkstraat 10, 2650, Antwerp, Antwerp, Belgium., Steenackers G; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium., Vanlanduit S; InViLab Research Group, Faculty of Applied Engineering, University of Antwerp, Groenenborgerlaan 171, 2020, Wilrijk, Antwerp, Belgium.
Jazyk: angličtina
Zdroj: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1733-1741. Date of Electronic Publication: 2024 Jul 16.
DOI: 10.1007/s11548-024-03199-8
Abstrakt: Purpose: Inadequate perfusion is the most common cause of partial flap loss in tissue transfer for post-mastectomy breast reconstruction. The current state-of-the-art uses computed tomography angiography (CTA) to locate the best perforators. Unfortunately, these techniques are expensive and time-consuming and not performed during surgery. Dynamic infrared thermography (DIRT) can offer a solution for these disadvantages.
Methods: The research presented couples thermographic examination during DIEP flap breast reconstruction with automatic segmentation approach using a convolutional neural network. Traditional segmentation techniques and annotations by surgeons are used to create automatic labels for the training.
Results: The network used for image annotation is able to label in real-time on minimal hardware and the labels created can be used to locate and quantify perforator candidates for selection with a dice score accuracy of 0.8 after 2 min and 0.9 after 4 min.
Conclusions: These results allow for a computational system that can be used in place during surgery to improve surgical success. The ability to track and measure perforators and their perfused area allows for less subjective results and helps the surgeon to select the most suitable perforator for DIEP flap breast reconstruction.
(© 2024. CARS.)
Databáze: MEDLINE
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