Protons produced greater subclinical lung changes after breast nodal irradiation
Proton therapy produced greater CT-detected lung changes than photons despite lower lung dose and no increase in clinical pulmonary toxicity.
Proton therapy produced greater CT-detected lung changes than photons despite lower lung dose and no increase in clinical pulmonary toxicity.
An open-source workflow structured 15 years of radiotherapy data, although reirradiation prediction showed only modest discrimination.
Automated dose-guided positioning matched anatomical alignment overall and improved primary target coverage by 1.0% when the clinical goal was initially missed.
The Transformer calculated carbon-ion pencil-beam doses in 14 milliseconds with 98.0% gamma agreement at stringent 1%/1 mm criteria.
NanOx predictions differed from measured laryngeal cancer cell survival by 20–37% and overestimated the distal biological gradient.
Tomotherapy improved target coverage and reduced bilateral lung exposure compared with VMAT and fixed-field IMRT in 20 whole-pleural irradiation cases.
An Eclipse-based tool reduced lattice plan evaluation from 15.4 to 2.0 minutes while maintaining close agreement with manual measurements.
A 30–70% gating window reduced planning target volume by 34% and mean lung dose by 0.75 Gy without compromising coverage.
A phantom-derived model predicted SCART central target radius with R² values of 0.991–0.999, but clinical validation remains absent.
A scanned helium beamline achieved submillimetre range accuracy and generally ≤3% dose agreement, supporting further translation toward clinical helium therapy.
Proton plans preserved 20-Gy target coverage while reducing spinal cord, oesophageal, lung, and bowel dose compared with photon VMAT.
Temporal lobe volumes receiving high dose or moderate dose with high LET jointly predicted grade 2 or higher necrosis.
Airbag compression reduced upper-abdominal respiratory motion comparably to a rigid plate but produced larger left–right setup errors.
ECHO generated consistent lung IMRT and VMAT plans while reducing active planner time by approximately 90 minutes per case.
AI-generated constraints produced clinically acceptable adaptive prostate plans, although only seven of ten met every prespecified planning objective.