Bidirectional GAN preserved CT numbers and dose accuracy in head-and-neck planning CT
BiHU-GAN generated synthetic contrast and non-contrast CT with high contour agreement and at least 95% gamma pass rates at 2%/2 mm.
Tag
technical-relevance
RapidPlan lung SBRT model used gEUD objectives for reproducible planning
A RapidPlan lung SBRT model generated clinically acceptable plans in 52% of validation cases on first optimization.
Single-field optimization improved proton LATTICE motion robustness
Single-field optimization improved proton LATTICE motion robustness
CT-guided online adaptation improved prostate SBRT dosimetry
CT-guided online adaptive prostate SBRT was feasible, with adapted plans selected in 95% of fractions and dosimetric improvements in 85%.
VMAT lattice SFRT was deliverable across Edge and Halcyon linacs
VMAT-based lattice SFRT achieved cross-platform deliverability with gamma pass rates above 90% and preserved peak-to-valley dose ratios.
MIM software accelerated sarcopenia screening during prostate radiotherapy planning
MIM-based skeletal muscle index measurement matched ImageJ while reducing processing time from 10 to 3.5 minutes.
Federated learning improved radiation pneumonitis prediction across lung cancer datasets
A center-specific federated learning model predicted grade 2 or higher radiation pneumonitis with stable cross-dataset performance.
Knowledge-based planning reduced organ-at-risk dose in head and neck and brain planning
RapidPlan reduced several organ-at-risk dose metrics while maintaining comparable target coverage in head and neck and brain radiotherapy planning.
SMART-BRAIN enabled proton-based non-target brain sparing in medulloblastoma planning
SMART-BRAIN proton planning spared portions of non-target brain while maintaining target coverage in five medulloblastoma cases.
Deep learning reduced head and neck auto-segmentation editing, but user variability persisted
Deep learning auto-segmentation reduced editing, but both minimal and excessive manual edits were associated with lower clinical acceptability.
Machine learning stratified survival after palliative radiotherapy for bone metastases
A decision tree model identified interleukin-8, hemoglobin, and lymphocyte count as key survival predictors after palliative radiotherapy.
Artificial intelligence planning generated clinically acceptable whole-brain radiotherapy plans
Artificial intelligence planning produced clinically acceptable whole-brain radiotherapy plans in 14 of 15 independent test cases.
Same-day hyaluronic acid spacer reduced rectal dose in prostate brachytherapy
Same-day hyaluronic acid rectal spacer placement reduced rectal dose while preserving ultrasound-based prostate brachytherapy planning.
Artificial intelligence surrogate estimated coronary artery dose in lung stereotactic body radiotherapy
An artificial intelligence coronary artery surrogate strongly correlated with manual dose metrics in simulated lung stereotactic body radiotherapy.
Tumor treating field arrays increased surface dose during photon radiotherapy
Tumor treating field arrays caused substantial surface dose enhancement and measurable dose attenuation during 6-megavolt photon irradiation.