Patient-specific deep learning tracking for real-time 2D pancreas localisation in kV-guided radiotherapy.

ABSTRACT:

Background and purpose

In pancreatic stereotactic body radiotherapy (SBRT), accurate motion management is crucial for the safe delivery of high doses per fraction. Intra-fraction tracking with magnetic resonance imaging-guidance for gated SBRT has shown potential for improved local control. Visualisation of pancreas (and surrounding organs) remains challenging in intra-fraction kilo-voltage (kV) imaging, requiring implanted fiducials. In this study, we investigate patient-specific deep-learning approaches to track the gross-tumour-volume (GTV), pancreas-head and the whole-pancreas in intra-fraction kV images.

Materials and methods

Conditional-generative-adversarial-networks were trained and tested on data from 25 patients enrolled in an ethics-approved pancreatic SBRT trial

SUBMITTER: Ahmed AM 

PROVIDER: S-EPMC12198041 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature