Conditional sparing in FLASH radiotherapy: Conformal dosimetry and ALARA remain essential [0.03%]
超大分次放射治疗中的条件保护：剂量 conformal 和遵守辐射防护最优化原则仍必不可少
Chih-Chiang Chang,Yangguang Ma,Minglei Kang et al.
Chih-Chiang Chang et al.
FLASH radiotherapy shows promise in reducing normal tissue toxicity while maintaining tumor control. However, preclinical and early clinical evidence reveal biological and technical uncertainties. We review preclinical and veterinary studie...
Dual-scan conformal cone-beam CT for targeted image-quality improvement using dynamic collimation [0.03%]
利用动态遮线器改善图像质量的目标双扫描共形锥束CT
Yuxiang Liu,Siqi Yuan,Xin Feng et al.
Yuxiang Liu et al.
Background: Cone-beam computed tomography (CBCT) is routinely used for image guidance in radiation therapy, but conventional full-field CBCT acquisition may expose anatomically irrelevant regions and generate substantial ...
Personalized eye protection for head CT organ-based tube current modulation: A deep learning approach to derive 3D eyeball models from a single-view topogram [0.03%]
基于深度学习的个性化眼部保护头部CT器官基于管电流调制：从单视图顶视图像中导出3D眼球模型的方法
Xiaolin Meng,Lei Zhu,Shenghao Chen et al.
Xiaolin Meng et al.
Background: The lens of the eye is highly radiosensitive, yet personalized shielding during head CT remains challenging due to the lack of a rapid, pre-scan localization method. ...
Radiation dose optimization in coronary CT angiography clinical application of absolute phase gating in patients with atrial fibrillation [0.03%]
房颤患者冠状动脉CT造影临床应用绝对相位门控优化辐射剂量研究
Yuyang Li
Yuyang Li
Background: Atrial fibrillation (AF) poses significant challenges for coronary CT angiography (CCTA) due to R-R interval variability, often necessitating high radiation dose protocols. Absolute phase gating, which uses fi...
Uncertainty quantification of U-Net based segmentation tool using conformal prediction [0.03%]
基于U-Net的分割工具的校合预测不确定性量化方法研究
Bailey J Borden,John B Graham-Knight,Patricia Lasserre et al.
Bailey J Borden et al.
Background: The radiation therapy treatment process is very labour intensive, and artificial intelligence (AI) based auto contouring tools are increasingly being adopted to improve efficiency. However, current acceptance ...
Yujie Yao,Yunsen Liang,Wen Xiao et al.
Yujie Yao et al.
Background: Low-dose computed tomography (LDCT) is widely used to reduce radiation exposure, but the reduced photon budget amplifies quantum noise and can introduce structured artifacts that obscure subtle boundaries and ...
A dosimetric analysis of a rotating gamma ray system and volumetric modulated arc therapy in retrospective replanning for primary liver cancer [0.03%]
立体旋转伽马射线系统和体积调强弧形治疗技术在原发性肝癌回顾性重规划的剂量分析
Jiarui Zhang,Siming Shi,Jingran Wu et al.
Jiarui Zhang et al.
Background: This study is a retrospective replanning study. For primary liver cancer, radiotherapy is vital for inoperable patients; however, dosimetric data comparing the rotating gamma ray system (RGS) and volumetric mo...
Design and validation of a deep learning GAN for predicting 1 7 7Lu dose voxel kernels using GATE/GEANT4 Monte Carlo and IDAC-Dose 2.1 in phantom dosimetry [0.03%]
基于GATE / GEANT4蒙特卡洛和IDAC-Dose 2.1的深度学习GAN的设计与验证，用于预测体模剂量学中的177Lu剂量体积核
Otieno Erick Kapis,Muchai Ian Kaniu,Iaccarino Giuseppe et al.
Otieno Erick Kapis et al.
Background: The rapid evolution of deep learning (DL), particularly the emergence of generative adversarial networks (GANs) has demonstrated strong potential for generating high-resolution, voxel-level dosimetric data. Ho...
The illusory correlation between geometrical similarity and physician satisfaction in heart auto-segmentation revealed by a physician-blind test [0.03%]
一项医师盲测结果揭晓几何相似度与医师满意度之间虚幻相关性的真相
Jae Choon Lee,Eun Jeong Heo,Song Heui Cho et al.
Jae Choon Lee et al.
Background: Auto-segmentation tools are essential in adaptive radiation therapy (ART). While evaluation typically relies on geometric metrics like Dice similarity coefficient (DSC), high scores do not always translate to ...
Cross-anatomical evaluation of a deep-learning auto-contouring system: qualitative, geometric, and dosimetric validation [0.03%]
基于深度学习的自动勾画系统跨解剖结构验证：定性、几何和剂量学认证
Sara Endo,Masaki Nakamura,Takeshi Fujisawa et al.
Sara Endo et al.
Background: Accurate and consistent delineation of target and normal structures is essential for safe and effective radiotherapy. Compared with manual or atlas-based methods, deep learning-based auto-contouring has demons...