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.
Tag
technical-relevance
Helium pencil beam commissioning achieved submillimetre range accuracy and robust dose agreement
A scanned helium beamline achieved submillimetre range accuracy and generally ≤3% dose agreement, supporting further translation toward clinical helium therapy.
Protons reduced spinal cord and bowel dose in single-fraction spine SBRT plans
Proton plans preserved 20-Gy target coverage while reducing spinal cord, oesophageal, lung, and bowel dose compared with photon VMAT.
Combined dose–LET model predicted temporal lobe necrosis after skull-base proton therapy
Temporal lobe volumes receiving high dose or moderate dose with high LET jointly predicted grade 2 or higher necrosis.
Abdominal airbag matched plate compression but increased lateral setup error
Airbag compression reduced upper-abdominal respiratory motion comparably to a rigid plate but produced larger left–right setup errors.
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.
AutoAdapt produced acceptable prostate MR-guided plans with minimal planner input
AI-generated constraints produced clinically acceptable adaptive prostate plans, although only seven of ten met every prespecified planning objective.
PocketNet matched nnU-Net segmentation with 40-fold lower model storage
PocketNet matched nnU-Net accuracy for cervical MRI segmentation while using 40-fold less storage and approximately half the training time.
CyberKnife dose models found size-dependent but non-monotonic brain metastasis control
Tumour-size strata showed non-monotonic BED–control relationships, while machine-learning performance remained unvalidated outside a single retrospective centre.
Exit-dose gamma alerts identified head-and-neck replanning needs on Halcyon-E
Strict exit-dose gamma thresholds correlated with anatomical change and identified all clinically replanned patients in a retrospective validation cohort.
Reinforcement learning adapted proton spot delivery across respiratory phases
Patient-specific reinforcement learning improved moving-target coverage over static GTV plans while reducing some normal-tissue exposure compared with ITV planning.
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.
GPU dose engine calculated MRI-guided proton plans within 14 seconds
gPRIDE closely matched Monte Carlo calculations for most anatomies and completed MRI-guided proton dose calculations within 13.7 seconds.
First on-treatment CBCT best predicted lung radiotherapy response in a small cohort
Adding the first treatment CBCT improved response and survival prediction, while additional scans progressively reduced classification performance.
Surface guidance matched skin marks for breast setup and reduced positioning variability
Single-camera surface guidance provided comparable mean setup accuracy with less variability, while intrafraction breast motion remained below 3 mm in most observations.