Rectal air did not compromise prostate online adaptive radiotherapy robustness
Rectal air or air-filled balloons did not cause clinically relevant dose increases when posterior tissue shifts stayed within 5 millimetres.
Rectal air or air-filled balloons did not cause clinically relevant dose increases when posterior tissue shifts stayed within 5 millimetres.
Feature-wise scanning Mamba improved liver radiotherapy segmentation accuracy while reducing model size and inference time.
The SunSILICON detector directly measured electron beam depth doses, profiles, and output factors with close agreement to reference detectors.
A conditional generative adversarial network predicted clinically acceptable esophageal radiotherapy dose distributions, but systematic target underdosage limited clinical use.
Cherenkov light imaging tracked gold implant motion in water with submillimetre accuracy during static and volumetric modulated arc therapy delivery.
Upright computed tomography showed stable computed tomography numbers and greater than 99% proton dose gamma agreement versus conventional computed tomography.
All eight radiotherapy planning computed tomography scanners showed measurable geometric distortion, with maximum values up to 1.88 millimetres.
An automated report-based chart checker detected residual errors in 37.1% of manually reviewed external beam radiotherapy plans.
Simultaneous integrated boost radiotherapy was associated with 96% two-year disease-free survival versus 70% with sequential boost in anal cancer.
Daily cone-beam computed tomography-based adaptation improved prostate stereotactic body radiotherapy target coverage, but organ-at-risk dose benefits were inconsistent.
Thermo-optical surface monitoring with X-ray correction kept breast deep inspiration breath-hold setup errors within clinical tolerance.
Photogrammetry-derived body surface models enabled Monte Carlo evaluation of total skin electron therapy dose homogeneity and hot-cold spot locations.
Aperture irregularity and modulation complexity score were the strongest plan-complexity predictors of patient-specific quality assurance pass rate.
A shared-source Eclipse toolkit unified lattice generation, position-aware optimization, and peak-valley dose ratio evaluation for spatially fractionated radiation therapy.
N4 bias correction with z-score normalization produced the most stable radiomic features on a 0.35 tesla magnetic resonance linear accelerator.