Automated proton planning reproduced clinical head and neck NTCP estimates within minutes
Automated proton plans reproduced clinical dysphagia and xerostomia estimates closely while reducing optimization time from days to about one hour.
Tag
treatment-planning
Individual target optimization reduced brain dose in single-isocenter multi-metastasis radiosurgery
Individual target optimization lowered normal-brain V12 and improved dose gradients while maintaining over 99% coverage, at the cost of higher monitor units.
Deep learning generated deliverable lymphoma intensity-modulated plans but remained dosimetrically inferior
Deep learning produced machine-deliverable lymphoma plans across heterogeneous anatomy, but target coverage and hot spots remained inferior to reference planning.
Photon minibeams enable denser LATTICE patterns in small tumors
Mini-LATTICE created more compact high-dose vertices and greater peak-to-valley separation than conventional LATTICE across six planning cases.
Radiotherapy 3D printing needs standardized quality assurance across institutions
Inter-centre material variability supports shared QA datasets and standardized acceptance criteria for clinical radiotherapy 3D printing.
CT–MRI fusion improved contrast-free lung perfusion mapping for radiotherapy planning
Multimodal CT–MRI perfusion maps matched SPECT better than single-modality methods and reduced high-function lung dose in exploratory planning.
AI-assisted VMAT planning shortened workflow but required manual hotspot correction
AI-assisted planning cut average planning time from about two hours to 30 minutes, but three of 12 plans required manual hotspot correction.
Geometry-based scaling standardized central target definition for SCART planning
A phantom-derived model predicted SCART central target radius with R² values of 0.991–0.999, but clinical validation remains absent.
ECHO automated lung planning across seven fractionation schedules in routine practice
ECHO generated consistent lung IMRT and VMAT plans while reducing active planner time by approximately 90 minutes per case.
Probabilistic coronary habitats enabled artery-focused cardiac sparing without angiography
Automatically predicted coronary habitats captured most arteries and enabled substantial dose reductions in three retrospectively replanned thoracic cases.
Photon robust optimization remains technically promising but poorly standardized
Robust photon planning usually improved uncertainty-resistant target coverage, but modelling, evaluation, and reporting varied substantially across the literature.
Simple phantoms increased students’ reported understanding of radiation medicine
Low-cost diagnostic and treatment phantoms improved students’ self-reported understanding of radiation medicine, although formal learning outcomes were not assessed.
Deep-learning dose prediction generalized across six head and neck radiotherapy centres
A model trained at one centre closely predicted doses in 560 head and neck plans from six external institutions.
One RapidPlan model generated ocular stereotactic plans across three fractionation schedules
A single knowledge-based model generated comparable ocular plans for 25 Gy once, 42 Gy in three fractions and 50 Gy in five.
Upright carbon ion plans matched supine dosimetry for prostate cancer
Upright carbon ion treatment plans achieved target coverage, organ sparing and simulated robustness comparable with conventional supine plans.