Manual and semi-automated delineation of locally advanced rectal cancer subvolumes with diffusion-weighted MRI.
Nathan HearnWilliam BuggAnthony ChanDinesh VignarajahKatelyn CahillDaisy AtwellJim LagopoulosMyo MinPublished in: The British journal of radiology (2020)
This is the first study to evaluate the feasibility of semi-automated diffusion-based subvolume delineation in LARC. This approach could be applied to dose escalation or 'dose painting' protocols to improve delineation reproducibility.
Keyphrases
- rectal cancer
- locally advanced
- diffusion weighted
- contrast enhanced
- neoadjuvant chemotherapy
- deep learning
- machine learning
- squamous cell carcinoma
- magnetic resonance imaging
- high throughput
- phase ii study
- radiation therapy
- computed tomography
- magnetic resonance
- open label
- randomized controlled trial
- clinical trial
- single cell