An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapy [0.03%]
头颈癌放射治疗深度学习结果预测模型的不确定性量化方法和度量评估
Daniel C MacRae,Luuk van der Hoek,Joëlle E van Aalst et al.
Daniel C MacRae et al.
Background and purpose: Deep learning (DL) outcome prediction models show promise in radiotherapy but face limited clinical adoption due to concerns about prediction reliability. Although uncertainty quantification (UQ) c...
Comparative evaluation of dose accumulation strategies in the clinical reirradiation setting [0.03%]
临床再程放射治疗中剂量累积策略的比较研究
Natasa Solomou,Monica Serban,Piotr Andrzejewski et al.
Natasa Solomou et al.
Background and purpose: Dose accumulation in reirradiation can contribute to both treatment outcomes and safe cumulative doses. We demonstrated consensus strategies on dose accumulation for three clinical reirradiation sc...
External beam focal boost radiotherapy to intraprostatic lesions in prostate cancer: a scoping review [0.03%]
前列腺癌的外部束聚焦增强放射治疗：一项概要性回顾研究
Ying Liu,Shangbin Qin,Xueying Ren et al.
Ying Liu et al.
Background: Focal boost external beam radiation therapy (EBRT) delivers an escalated dose to intraprostatic lesions (IPLs) in prostate cancer. It is an emerging field characterized by highly heterogeneous practices. ...
Raman spectroscopy and atomic force microscopy as tools to evaluate the radiobiological sensitivity of breast cancer cells at different therapeutic doses [0.03%]
拉曼光谱和原子力显微镜作为评估乳腺癌细胞在不同治疗剂量下单重辐射生物敏感性的工具
Martha A Iñiguez Beltrán,Mónica A Acosta Elías,Erika Silva Campa et al.
Martha A Iñiguez Beltrán et al.
Background and purpose: Radiotherapy is widely used as a treatment for patients with breast cancer (BC). In vitro irradiation of BC cells provides a strategy to investigate early cellular and molecular events induced by i...
A comparative assessment of deep learning and knowledge-based dose prediction models for advanced radiotherapy planning of prostate cancer with focal boosting [0.03%]
基于深度学习和知识驱动的剂量预测模型在具有焦点增强的前列腺癌现代放疗计划中的比较研究
Maria A Piliero,Antonio Angrisani,Davide G Bosetti et al.
Maria A Piliero et al.
This study compared knowledge-based and deep-learning dose prediction models with clinically approved plans for prostate radiotherapy with focal boosting. The knowledge-based model accurately reproduced clinical plans. Deep-learning predict...
Corrigendum to "Clinical target volumes for glioma - Automated delineation to improve neuroanatomic consistency" [Phys. Imaging Radiat. Oncol. 36 (2025) 100865] [0.03%]
“胶质瘤临床靶区的自动勾画以提高神经解剖学一致性”一文的勘误通知（卷36，100865）
Gregory Buti,Marcela Giovenco,Tugba Yilmaz et al.
Gregory Buti et al.
[This corrects the article DOI: 10.1016/j.phro.2025.100865.]. © 2026 Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology...
A multi-institutional EPID-based 3D dose reconstruction model in a virtual phantom for standardized patient QA, benchmarking and auditing for stereotactic radiosurgery [0.03%]
基于多机构EPID的立体定向放射外科患者质保、基准和审计虚拟体模中的三维剂量重建模型
Benjamin Zwan,Emily Searle,Cameron Stanton et al.
Benjamin Zwan et al.
Background and purpose: For single-isocentre multi-target (SIMT) stereotactic radiosurgery (SRS), benchmarking, auditing and inter-institutional standardisation of dose verification remain challenging as they require spec...
Comparison of gantry-less magnetic resonance guided proton therapy with photon therapy for hepatocellular carcinoma patients [0.03%]
无门架磁共振引导质子治疗与光子治疗肝细胞癌患者的对比研究
Franciska Lebbink,Emilie Alvarez Michael,Anna Kornek et al.
Franciska Lebbink et al.
Background and purpose: With magnetic resonance imaging (MRI), soft-tissue tumors such as hepatocellular carcinoma (HCC) are visualised. MR guided proton therapy (MRgPT) may combine the advantages of proton therapy with s...
Evaluation of a quasi-automatic treatment planning workflow for head-and-neck cancer in radiotherapy [0.03%]
头部和颈部癌症放射治疗准自动治疗计划工作的评估
Moritz Westermayer,Daniela Sandu,Cécile Laude et al.
Moritz Westermayer et al.
Background and purpose: Automation of radiotherapy workflows enhances efficiency, consistency and would support adaptive online dosimetry on standard linacs. This study investigated the feasibility and quality of a quasi-...
Evaluation of classical and deep-learning deformable registration for magnetic resonance to four-dimensional computed tomography contour mapping in liver stereotactic body radiotherapy [0.03%]
肝立体定向体放射治疗中磁共振到四维CT轮廓映射的经典和深度学习弹性配准评估研究
Ziad Kheil,Laurent Risser,Elizabeth Cohen-Jonathan Moyal et al.
Ziad Kheil et al.
Background and purpose: : In liver stereotactic body radiotherapy (SBRT), magnetic resonance imaging (MRI)-to-four-dimensional computed tomography (4D-CT) contour mapping remains challenging because of cross-modality diff...