Planning computed tomography radiomics predicted recurrence in human papillomavirus-positive oropharyngeal cancer
A multi-regional clinical-radiomics model reached an external-test area under the curve of 0.908 for 5-year recurrence prediction.
A multi-regional clinical-radiomics model reached an external-test area under the curve of 0.908 for 5-year recurrence prediction.
A multimodal imaging, radiomics, and clinical deep learning model showed moderate external validation for survival risk after Gamma Knife radiosurgery.
Magnetic resonance-only prostate simulation achieved 96.80% local gamma agreement using synthetic computed tomography for dose calculation.
Dose-dependent linear energy transfer constraints aligned with published proton toxicity data better than fixed threshold approaches.
Photon-counting computed tomography generated effective atomic number and physical density images directly from virtual monoenergetic images.
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.
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.