Fat saturation destabilized most MRI radiomics features used for radionecrosis prediction
Only 10.7% of T2 MRI radiomics features remained highly stable across fat-saturation protocols, and stability filtering improved prediction.
Tag
technical-relevance
Complex deformable dose accumulation rarely changed adaptive SBRT decisions
More accurate deformable registration lowered estimated bowel dose, but produced nearly identical in-treatment adaptation decisions to simple DVH summation.
LET-optimized proton arc planning more than doubled the lattice peak-to-valley dose ratio
PATLESL increased lattice peak-to-valley dose ratio from 16.9 to 41.9 while reducing spot number and delivery time.
Beam-deflection compensation restored proton dose delivery inside an in-beam MR scanner
Energy-layer-wise compensation restored millimetre-level proton targeting despite magnetic-field beam shifts approaching 30 mm in an MR-integrated prototype.
Reducing tomotherapy modulation beyond the gantry plateau saved almost no treatment time
The pre-plateau modulation factor preserved plan quality while further reduction created idle delivery time without meaningful efficiency gain.
Low-dose brain exposure diverged sharply between SRT platforms as metastasis number increased
CyberKnife best contained low-dose spread at high lesion burdens but required substantially longer treatment than faster VMAT strategies.
Anatomy-based traffic lights missed important dose changes during lung radiotherapy
In 604 fractions, traffic-light alerts partially identified target undercoverage but were unreliable proxies for organ-at-risk dose changes.
No tested head phantom fully met cranial synthetic CT QA criteria
Skull-equivalent anatomy improved synthetic CT performance, but none of ten tested head phantoms satisfied all geometric, HU and dosimetric criteria.
SMART planning reduced memory-circuit dose during SRS for ≥10 brain metastases
SMART reduced mean memory-circuit dose from 2.9 to 1.8 Gy while maintaining greater than 95% target coverage.
Action-priority FMEA narrowed radiation therapy QA risks from 30 to seven
A severity-weighted action-priority framework identified the same seven highest RT workflow risks while avoiding 23 additional traditional FMEA flags.
OPT-former enabled near-real-time automated eye tracking during ocular proton therapy
OPT-former matched a three-network segmentation pipeline while processing eye images 2.6 times faster and improved further with patient-specific fine-tuning.
uTPS produced deliverable Halcyon VMAT plans comparable with Eclipse
uTPS generated Halcyon VMAT plans with generally comparable dosimetry to Eclipse and greater than 97% gamma passing rates.
Deep learning predicted distant metastasis from CT and dose in head and neck cancer
A model integrating planning CT, 3D dose and tumor contours achieved strong external prediction of distant metastasis but weaker local-recurrence performance.
Robust optimization minimized lung-dose trade-offs in carbon-ion planning for stage I NSCLC
Robust optimization improved target coverage with less lung-dose penalty than margin expansion, while density override was particularly useful for solid tumors.
Nearly one-third of abdominal radiotherapy patients could not maintain planned DIBH
Despite successful simulation, 31.7% required DIBH gate modification or conversion to free breathing during abdominal radiotherapy.