Establishing typical dose values in fluoroscopy-guided paediatric central venous catheter placement procedures in a large university hospital [0.03%]
大型大学附属医院在儿科中心静脉导管放置的透视引导操作中建立典型剂量值
Georgia A A Alves,Rochelle Lykawka,Thatiane A Pianoschi et al.
Georgia A A Alves et al.
Purpose: Establishing DRLs is internationally recommended for dose optimization, particularly in paediatric procedures. The first step in defining local or national DRLs is determining typical dose values (TVD). This stud...
A novel accumulative modelling method using temporal images: Concept proposal and clinical validation on multiple diseases [0.03%]
一种使用时间图像的新型累积建模方法：概念提案及多病种临床验证
Jingyuan Wang,Zhexiang Song,Baosheng Liang et al.
Jingyuan Wang et al.
Purpose: To propose and cross-validate a novel accumulative predicting method using temporal data of image-guided-radiotherapy. Methods: ...
Technical image quality assessment as a tool for clinical audit in interventional radiology: first results of a National MoH Project [0.03%]
技术图像质量评估作为介入放射学临床审计工具的初步结果：卫生部国家项目报告
Sergio Zucca,Giacomo Serra,Monica Cavallari et al.
Sergio Zucca et al.
Purpose: This study reports on a pilot clinical audit in interventional radiology (IR) in Italy, aimed at establishing a standardized framework for assessing technical image quality (TIQ) and patient dosimetry across X-ra...
Development and clinical applications of an all-in-one Monte Carlo-based independent dose calculation system for carbon-ion radiation therapy [0.03%]
一种基于蒙特卡罗的独立剂量计算系统在碳离子放射治疗中的研发及其临床应用
Yongdo Yun,Seok-Ho Lee,Chae-Seon Hong et al.
Yongdo Yun et al.
Purpose: This study aimed to develop a Monte-Carlo (MC)-based independent dose calculation system (IDCS) for carbon-ion radiation therapy (CIRT) capable of simultaneously computing the physical dose, biological dose, and ...
Effective dose and risk assessment in 18F-FDG PET/CT examinations of lymphoma patients using updated dose coefficients [0.03%]
应用更新剂量系数评估淋巴瘤患者18F-FDG PET/CT检查的有效剂量和风险
Forough Jafarian-Dehkordi,Yazdan Salimi,Esmail Jafari et al.
Forough Jafarian-Dehkordi et al.
Purpose: The objective of this study was to estimate the total effective dose using the updated dose coefficient, and assess the associated cancer risk from radiation exposure in patients undergoing positron emission tomo...
Multi-center diffusion-weighted MRI validation for 0.35T MR-Linac [0.03%]
0.35T磁共振直线加速器的多中心弥散加权MRI验证研究
Siamak Nejad-Davarani,Natalia Lutsik,Kathryn Mittauer et al.
Siamak Nejad-Davarani et al.
Background: MR-linac (MRL)-based radiotherapy allows daily anatomical and physiological imaging for adaptive treatment. Apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) is a quantitative ...
Alexsandro Guimarães,Brenda Candeia,Thatiane Pianoschi et al.
Alexsandro Guimarães et al.
Objective: To evaluate the role of oxygen in the FLASH effect during electron beam radiotherapy, aiming to understand mechanisms that enable normal tissue sparing at ultra-high dose rates. ...
Verification of intensity-modulated proton therapy (IMPT) plans for rectal cancer using MCsquare and TOPAS Monte Carlo simulations [0.03%]
使用MCsquare和TOPAS蒙特卡洛模拟验证直肠癌强度调制质子治疗计划(IMPT)
Nipon Saiwong,Sasikarn Chamchod,Thiansin Liamsuwan
Nipon Saiwong
Purpose: This study aimed to compare different intensity-modulated proton therapy (IMPT) plans for rectal cancer obtained from the research-based treatment planning system matRad with dose distributions recalculated using...
Synchrotron split-beam method for clinical photon-counting computed tomography [0.03%]
用于临床光子计数计算机断层扫描的同步辐射分光束法
Stevan Vrbaški,Sandro Donato,Elena Longo et al.
Stevan Vrbaški et al.
Purpose: Free-space phase contrast propagation coupled with a photon-counting detector enables CT imaging with improved contrast in soft tissues at lower radiation dose. In addition, photon-counting detectors enable inher...
Impact of a new deep-learning image reconstruction algorithm on potential dose reduction and quality of chest CT images: a phantom study [0.03%]
一种新的基于深度学习的图像重建算法对胸部CT剂量降低潜力和图像质量的影响：体模研究
Joël Greffier,Fabien de Oliveira,Skander Sammoud et al.
Joël Greffier et al.
Purpose: To evaluate the impact of a new deep-learning image reconstruction (DLR) algorithm on image quality and potential dose reduction compared with a hybrid iterative reconstruction (IR) algorithm under chest CT condi...