Commissioning and performance evaluations of the electron Monte Carlo algorithm in a new commercial treatment planning system [0.03%]
一种新型商用治疗计划系统中电子蒙特卡罗算法的验收及性能研究
Feng Wang,Xuming Jiang,Zhi Shi et al.
Feng Wang et al.
Purpose: This study provides a comprehensive evaluation of the newly implemented electron Monte Carlo dose calculation algorithm in the commercial treatment planning system, uTPS. It investigates the performance of the al...
In-house development of CT-based 3D-printed head & neck phantom for Radiotherapy applications [0.03%]
基于CT的头颈部三维打印体模的内部开发用于放射治疗应用程序
Subhalaxmi Mishra,Vandana Shrivastava,Rajesh Kumar et al.
Subhalaxmi Mishra et al.
Background: Anthropomorphic phantoms are widely used in Radiotherapy for quality assurance (QA), treatment verification and dosimetric validation purposes. However, commercially available anthropomorphic phantoms are expe...
Routine kV-CBCT quality assurance in IGRT: Workflow-based comparison of QUART/MaximQA vs Catphan/ARTISCAN [0.03%]
基于工作流程的QUART/MaximQA与Catphan/ARTISCAN的常规千伏kV-CBCT质量保证的比较研究（英文）
Karolina Sanocka,Bartosz Pawałowski,Ewelina Nowak et al.
Karolina Sanocka et al.
Purpose: The study aimed to compare image-quality metrics measured by two kV-CBCT QA systems-the QUART phantom with MaximQA and the Catphan phantom with ARTISCAN-using standard clinical kV-CBCT imaging protocols in a Vari...
Comparative Study
Journal of applied clinical medical physics. 2026 Jul;27(7):e70708. DOI:10.1002/acm2.70708 2026
Computer vision mechanical QA: Development, characterization, and five years of clinical performance [0.03%]
计算机视觉机械QA：开发、特征化及临床表现五年回顾
Rachel B Ger,Michael D Armstrong,Daniel G Robertson
Rachel B Ger
Background: Quality assurance (QA) in radiation therapy is a critical component of ensuring accurate and consistent patient treatments, but many tasks are time consuming and rely on human visual acuity, which limits their...
Quality assurance for intraoperative MRI RF coils in stereotactic neurosurgical planning [0.03%]
立体定向神经外科手术规划中术中MRI射频线圈的质量保证
James C Thorpe,Rafal Panek,Charlotte Bull et al.
James C Thorpe et al.
Background: The application of MRI during a surgical procedure (intraoperative MRI) provides the surgical team with up-to-date anatomical information to improve precision and inform decision making during the operation. T...
The complementary roles of oversight, education, and collaboration in the responsible integration of artificial intelligence in radiation medicine: White paper of CADRA [0.03%]
放射医学中人工智能的负责任整合中的监管、教育和合作作用：CADRA白皮书
Caitlin Gillan,Brian Liszewski,Annie Hsu et al.
Caitlin Gillan et al.
Artificial intelligence (AI) is poised to fundamentally transform radiation medicine, with growing influence across clinical decision-making, workflow efficiency, personalization of care, and quality assurance. While the technical potential...
Implementation of VMAT-based lattice spatially fractionated radiation therapy (SFRT) across linac platforms: Practical considerations for QA and motion management [0.03%]
基于VMAT的晶格型空间分割放射治疗（SFRT）在直线加速器平台上的实现：质量保证和运动管理的实际考虑因素
Somayeh Gholami,Prema Rassiah
Somayeh Gholami
Background: Spatially fractionated radiation therapy (SFRT) offers a method to treat bulky, radioresistant tumors while sparing normal tissues. Modern volumetric modulated arc therapy (VMAT) delivery enables conformal lat...
Integration of sarcopenia screening into radiotherapy planning: Validation of a time-efficient SMI measurement method using MIM software in prostate cancer [0.03%]
使用MIM软件测量SMI以进行放射治疗规划中整合肌少症筛查的验证：前列腺癌患者的高效时间测量方法
Pauline De Bruyn,Nicolas Coquelet,Paulo Ferreira et al.
Pauline De Bruyn et al.
Background: Sarcopenia (SP) affects 43.8% of men with prostate cancer (PCa), correlating with higher all-cause mortality and reduced quality of life. Systematic SP screening could reduce treatment complications and improv...
Machine learning decision tree models for multiclass classification of prognosis in patient undergoing palliative radiotherapy for bone metastases [0.03%]
用于姑息性骨转移放射治疗患者的预后多类分类的机器学习决策树模型
Savino Cilla,Romina Rossi,Ragnhild Habberstad et al.
Savino Cilla et al.
Background: Accurate estimation of prognosis and life expectancy is essential in patients with advanced cancer, as it guides clinical decision-making and helps avoid unnecessary interventions while facilitating timely int...
Dosimetric impact of radiofrequency tumor treating field arrays on dose on surface and at depth [0.03%]
射频肿瘤治疗场列阵对体表及体内剂量的影响研究
Sarah Ashmeg,James Taylor,Ron Lalonde et al.
Sarah Ashmeg et al.
Background: Tumor Treating Fields (TTFields) have demonstrated a survival benefit in patients with glioblastoma and are increasingly being investigated for concurrent use with radiotherapy. However, published data regardi...