Assessment of planning organ at risk volume margins in non-adaptive pancreatic stereotactic body radiotherapy [0.03%]
非适应性胰腺立体定向放疗的危及器官规划体积边界评估
Maxwell Robinson,Ahmed Eltinay,Ben George et al.
Maxwell Robinson et al.
Background and purpose: Organ at risk (OAR) motion results in increased risk of radiotherapy treatment side effects due to the potential for greater dose than intended being delivered. This is of particular concern in ste...
Base of tongue volume and dose as predictors of late dysphagia after definitive or adjuvant radiotherapy for oral cavity squamous cell carcinoma [0.03%]
口腔鳞状细胞癌确定性或辅助放射治疗后的舌根体积和剂量作为预测晚期吞咽困难的指标
Joseph Azria,Arnaud Beddok,Esteban Brenet et al.
Joseph Azria et al.
Background and purpose: Radiation-induced dysphagia is a major determinant of quality of life in patients treated for oral cavity squamous cell carcinoma (OCSCC). While dose to the pharyngeal constrictor muscles has been ...
Radiomic analysis of pathologically confirmed mandibular osteoradionecrosis to identify cases with associated recurrence: a multicentric retrospective study [0.03%]
病理证实的下颌骨放射性坏死的影像组学分析以识别伴有复发的病例：一项多中心回顾性研究
Olivier Ozcan,Remy Laluc,Aline Carsin-Vue et al.
Olivier Ozcan et al.
Differentiating mandibular osteoradionecrosis (ORN) from tumor recurrence remains challenging on preoperative imaging. We conducted a multicenter retrospective study including 24 patients with histologically confirmed ORN who underwent surg...
Development of an artificial intelligence driven dose prediction pipeline for online adaptive magnetic resonance-guided radiotherapy [0.03%]
一种基于人工智能的在线自适应磁共振引导放射治疗剂量预测方法的发展
Benjamin Tengler,Moritz Schneider,Marcel Nachbar et al.
Benjamin Tengler et al.
Background and purpose: The closed-off nature of most treatment planning systems (TPS) limits the potential for using artificial intelligence (AI) tools during online adaptive treatments. The aim of this study was to deve...
Lukas Martin,Barbara Knäusl,Peter Kuess et al.
Lukas Martin et al.
Background and purpose: Helium ions combine reduced lateral scattering compared to protons and a lower fragmentation tail than carbon ions, enabling sharp dose gradients and improved normal tissue sparing. This study repo...
Nonstop gated cone-beam computed tomography for respiratory gating pancreatic cancer radiotherapy using dual-domain deep learning reconstruction [0.03%]
基于双域深度学习重建的呼吸门控胰腺癌放射治疗的不间断门控锥形束CT
Mitchell Yu,Noah Silverberg,Yabo Fu et al.
Mitchell Yu et al.
Background and purpose: Radiotherapy for pancreatic cancer requires effective respiratory motion management and precise image guidance due to the proximity of multiple dose-limiting organs. Respiratory gating is commonly ...
Impact of dose reporting modes on dosimetric accuracy in a national end-to-end stereotactic spine radiotherapy audit [0.03%]
剂量报告模式对国家立体定向脊柱放射治疗端到端审计剂量准确性的影响研究
Rushil Patel,Mohammad Hussein,Jonny Lee et al.
Rushil Patel et al.
Background and purpose: Spinal Stereotactic Body Radiotherapy (SBRT) is among the most complex treatments currently delivered. A multi-centre dosimetry audit evaluated the accuracy of spinal SBRT treatment delivery and th...
Evaluating artificial intelligence versus human-generated contours in the thorax [0.03%]
评估人工智能与人工生成的胸部轮廓勾画的效果
Oded Icht,Patrik Farkas,Ming Liu et al.
Oded Icht et al.
Background and purpose: Artificial intelligence (AI) auto-segmentation is increasingly used in radiotherapy to reduce contouring time, with physician review required before clinical use. These tools reliably achieve high ...
A review on radiological properties of fused deposition modelling material for three-dimensional printing in proton and light ion beam therapy [0.03%]
有关用于质子和碳离子束治疗的三维打印熔融沉积建模材料放射特性的综述
Christina Stengl,Christina Mooshammer,Jonas Mahnke et al.
Christina Stengl et al.
Background and purpose: Fused Deposition Modelling (FDM) three-dimensional (3D) printing offers a flexible and economical method for producing radiotherapy phantoms with tailored geometries and material properties. While ...
Deep learning-based generation of direct stopping power ratio maps for MR-only proton therapy of primary brain tumor patients [0.03%]
基于深度学习的直接停止功率比图生成，用于原发性脑肿瘤患者单一磁共振引导质子治疗
Emilie Alvarez-Michael,Nils Peters,Julian Schwengfelder et al.
Emilie Alvarez-Michael et al.
Background and purpose: A magnetic resonance-only proton therapy (MRoPT) workflow requires synthetic computed tomography (CT) to derive the stopping power ratio (SPR) for treatment planning. Here, we introduce three U-Net...