The Endometri-ose 3D project consists in building a database using interactive 3D modelling of endometriosis, which will then be used to train an artificial intelligence-based algorithm to automate the process. This work will result in a new preoperative 3D modelling service for endometriosis, aimed at significantly improving the surgical treatment of this pathology.
Endometriosis is a chronic gynaecological disease affecting around 10-15% of the general female population of childbearing age. Treating it is a real challenge, and to date there is no cure. One option is surgery for so-called deep endometriosis, which invades neighbouring tissues or organs. The surgery, which is rather invasive for patients, involves removing all the endometriotic lesions, which can lead to certain postoperative complications.
By proposing 3D modelling of endometriosis, Visible Patient can provide the personal anatomy of each patient (all patients are different), enabling surgeons to avoid damaging neighbouring organs.
C. Martel, C. Arnalsteen, L. Lecointre, M. Lapointe, C. Roy, E. Faller, T. Boisramé, L. Soler, C. Akladios. Feasibility and clinical value of virtual reality for deep infiltrating pelvic endometriosis: A case report. Journal of Gynecology Obstetrics and Human Reproduction 52 (2023) 102500.
“This project, funded by the Force Foundation, is very close to my heart, because endometriosis affects 10-15% of women, and for a long time this condition was downplayed,” explains Luc Soler. These are situations in which it will be particularly interesting to be able to pinpoint the precise location of the tissue and make a precise estimate of how far it has invaded organs.”
Luc SOLER, President of Visible Patient
