Samenvatting
Urinary Incontinence (UI) is a major side effect of RobotAssisted Radical Prostatectomy (RARP). The surgical Urethra Length (SUL) emerges as a crucial predictive factor for
postoperative-RARP UI. In response, this study introduces
a novel approach for the automated estimation of the SUL
from surgical video frames. A dedicated RARP dataset was
meticulously curated, placing emphasis on the segmentation
of structures crucial for accurate SUL estimation. The dataset
contains 282 frames extracted from 114 patients’ videos and
extra care was taken that all frames of the test set were suited
for SUL estimation. Notably, each frame in the test set was
annotated by both an expert urologist and a medical research
fellow. Eventually, the predictions of the segmentation model
are integrated into a heuristic method to determine the SUL.
Despite training on a relatively small dataset, we have found
a small mean difference between prediction and expert annotation SUL (1.86±3.56 mm). This shows the future potential
for automated SUL estimation from video, particularly when
sufficient samples per patient are available.
postoperative-RARP UI. In response, this study introduces
a novel approach for the automated estimation of the SUL
from surgical video frames. A dedicated RARP dataset was
meticulously curated, placing emphasis on the segmentation
of structures crucial for accurate SUL estimation. The dataset
contains 282 frames extracted from 114 patients’ videos and
extra care was taken that all frames of the test set were suited
for SUL estimation. Notably, each frame in the test set was
annotated by both an expert urologist and a medical research
fellow. Eventually, the predictions of the segmentation model
are integrated into a heuristic method to determine the SUL.
Despite training on a relatively small dataset, we have found
a small mean difference between prediction and expert annotation SUL (1.86±3.56 mm). This shows the future potential
for automated SUL estimation from video, particularly when
sufficient samples per patient are available.
| Originele taal-2 | Engels |
|---|---|
| Titel | 2024 IEEE International Symposium on Biomedical Imaging, ISBI 2024 |
| Uitgeverij | Institute of Electrical and Electronics Engineers |
| Aantal pagina's | 5 |
| ISBN van elektronische versie | 979-8-3503-1333-8 |
| DOI's | |
| Status | Gepubliceerd - 22 aug. 2024 |
| Evenement | IEEE International Symposium on Biomedical Imaging - Athens, Griekenland Duur: 27 mei 2024 → 30 mei 2024 |
Congres
| Congres | IEEE International Symposium on Biomedical Imaging |
|---|---|
| Verkorte titel | ISBI 2024 |
| Land/Regio | Griekenland |
| Stad | Athens |
| Periode | 27/05/24 → 30/05/24 |