PhD Scientific Days 2020

Clinical Medicine III. Lectures

3D Reconstruction and Analysis of Chronic Lower Extremity Wounds

Előadó neve

Dr. Jobbágy, Antal

Előadó munkahelye

Department of Dermatology, Venerology and Dermatooncology, Semmelweis University

Előadó telefonszáma

704186988

Előadó e-mail címe

antaljobbagy@gmail.com

Az előadás címe

3D Reconstruction and Analysis of Chronic Lower Extremity Wounds

Szerző(k) neve és munkahelye

Antal Jobbágy 1, Balázs Gasz 2, Zsófia Egyed 3, Péter Szoldán 4, Dávid Juhász 2, Balázs Lengyel 5, Norbert Kiss 1, Kende Lőrincz 1, Luca Fésűs 1, Norbert Wikonkál 1, András Bánvölgyi 1

1 Department of Dermatology, Venerology and Dermatooncology, Semmelweis University
2 Department of Surgical Research and Techniques, University of Pécs
3 Uzsoki Hospital, Semmelweis University
4 MedInnoScan Ltd., Budapest
5 Department of Vascular Surgery, Semmelweis University

Szekció

Clinical Medicine III. Lectures

Language of the presentation

English

Section, first choice

Clinical Medicine

Section, second choice

Theoretical and Translational Medicine

Összefoglaló szövege

Introduction: Difficulties of the management of chronic lower-extremity wounds (LEW) put a major burden on patients and healthcare systems. The most common etiology of LEW is chronic venous insufficiency, followed by peripheral arterial disease and diabetes mellitus. Unusual causes, such as vasculitis, autoimmune disorders, or tumors, are responsible for 5% of LEW. The prevalence of chronic LEW is 1.2-2, showing an increase with the aging of the population. The cost of treatment of LEW represents 1% of the healthcare budget in the EU.
Aim: The objective of this multicenter study, led by MedInnoScan Ltd., was to develop a mobile application capable of high-resolution 3D reconstruction of LEWs. We aimed to create a 3D imaging method to provide fast and structured standardized assessment of LEWs. A further goal is to establish an artificial neural network based on deep learning to determine the etiology of LEW and recommend appropriate dressing types based on data collected with the application.
Methods: 1,400 cases of LEW have been involved in the study, out of which 250 cases were collected at the Dept. of Dermatology, Semmelweis University. 40 images of each LEW were taken from different viewing angles using the mobile application, along with a questionnaire collecting data of ECOG status, obesity, and other medical conditions; LEW status and administered smart dressings. Once the images and questionnaire are uploaded the main server executes photogrammetric reconstruction to prepare a 3D model of the LEW.
Results: We have achieved a high-resolution reconstruction of 3D models of examined LEWs with accuracy within 1mm compared to the results of laser scanning performed on selected test LEWs. Most mobile phones (8MP+ camera required) can be utilized to achieve this accuracy. With this technology we could measure the depth of LEW, presence and the extent of the necrosis and reepithelialization.
Conclusion: This mobile application is a novel, fast, accessible, and cost-effective technology to create 3D reconstructed models of a LEW. These models could be useful to record and to follow-up the healing process of a LEW in a structured standardized way. This technique could be appropriate to assess the current status of a LEW. Furthermore, it could be capable to specify the etiology and to choose the optimal therapy for each LEW.

Additional Information

.

Bemutatás módja

Szóbeli

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

4762

Start

12:10

End

12:25

Authors (legacy)

Antal Jobbágy 1, Balázs Gasz 2, Zsófia Egyed 3, Péter Szoldán 4, Dávid Juhász 2, Balázs Lengyel 5, Norbert Kiss 1, Kende Lőrincz 1, Luca Fésűs 1, Norbert Wikonkál 1, András Bánvölgyi 1

1 Department of Dermatology, Venerology and Dermatooncology, Semmelweis University
2 Department of Surgical Research and Techniques, University of Pécs
3 Uzsoki Hospital, Semmelweis University
4 MedInnoScan Ltd., Budapest
5 Department of Vascular Surgery, Semmelweis University