Prediction of pelvic tumour coverage by magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) from referral imaging.

ABSTRACT:

Background

Patient suitability for magnetic resonance-guided high intensity focused ultrasound (MRgHIFU) ablation of pelvic tumors is initially evaluated clinically for treatment feasibility using referral images, acquired using standard supine diagnostic imaging, followed by MR screening of potential patients lying on the MRgHIFU couch in a 'best-guess' treatment position. Existing evaluation methods result in ≥40% of referred patients being screened out because of tumor non-targetability. We hypothesize that this process could be improved by development of a novel algorithm for predicting tumor coverage from referral imaging.

Methods

The algorithm was developed from volunteer images and tested with patient data. MR images were acquired for five healthy volunteers and five

SUBMITTER: Lam NFD 

PROVIDER: S-EPMC8352374 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature