Comparison of small bowel and bladder doses between prone and supine positions in preoperative intensity-modulated radiotherapy for rectal cancer [0.03%]
低位直肠癌新辅助调强放疗仰卧位与俯卧位小肠及膀胱受量比较
Takuya Hayashi,Mami Ogita,Yuki Nozawa et al.
Takuya Hayashi et al.
Effects of perfusion fixation on whole-brain structural connectivity in marmoset: a diffusion MRI analysis [0.03%]
灌注固定对狨脑全脑结构连接的影响：一种弥散磁共振成像分析方法
Daisuke Yoshimaru,Tomokazu Tsurugizawa,Naoya Hayashi et al.
Daisuke Yoshimaru et al.
Effect of carbon dioxide insufflation on the delay-attenuation relationship of mesenteric veins in contrast-enhanced CT colonography [0.03%]
二氧化碳充气对CT结肠造影增强后肠系膜静脉延迟效应的影响关系研究
Yoshiya Ohashi,Kohei Harada,Takeo Tanaka et al.
Yoshiya Ohashi et al.
To evaluate whether carbon dioxide (CO₂) insufflation modifies the relationship between scan delay and mesenteric venous attenuation during fixed-delay portal venous phase scans in contrast-enhanced CT colonography (CTC). This retrospectiv...
Optimization of postoperative unicompartmental knee arthroplasty radiography using a phantom-based ray-summation positioning sheet [0.03%]
基于模型的射线定位图在单髁膝关节置换术后优化放射摄影中的应用研究
Kenta Katano,Kentaro Sakata,Madoka Nanao et al.
Kenta Katano et al.
Multi-institutional study of multileaf collimator parameters and dose calculation accuracy using the enhanced leaf model [0.03%]
改进叶片模型的多机构MLC参数及剂量计算精度研究
Jun Takatsu,Tatsuya Inoue,Yohei Utena et al.
Jun Takatsu et al.
The aim of this study was to determine appropriate multileaf collimator (MLC) parameters for the Enhanced Leaf Model (ELM) for the Varian TrueBeam (120 MLC) and to verify the dose calculation accuracy of the ELM in brain stereotactic radiot...
Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features [0.03%]
基于放射组学特征的结肠fdg-pet摄取不确定性感知深度学习分类方法研究
Kazuhiro Ishida,Ko Sasaki,Kaoru Ono et al.
Kazuhiro Ishida et al.
Potential of fluid-attenuated inversion recovery diffusion-weighted imaging in patients with acute cerebral infarction [0.03%]
急性脑梗死患者的体液衰减反转恢复扩散加权成像的应用价值
Ryosuke Fujii,Yuma Mochizuki,Wakaba Koide et al.
Ryosuke Fujii et al.
Although the utility of magnetic resonance imaging (MRI) in the diagnosis and treatment planning of acute cerebral infarction is well established, MRI acquisition times are longer than those for computed tomography, suggesting the need for ...
MRI-based cerebrospinal fluid volumetric indices for predicting tap test response in idiopathic normal pressure hydrocephalus [0.03%]
基于MRI的脑脊液容积指数可预测原发性正常压力脑积水的腰穿反应
Shinya Hasegawa,Daisuke Yoshimaru,Norio Hayashi et al.
Shinya Hasegawa et al.
Idiopathic normal pressure hydrocephalus (iNPH) is a potentially reversible disorder; however, predicting symptom-specific improvement after cerebrospinal fluid (CSF) tap testing remains challenging. This exploratory study investigated whet...
Optimal energy level of virtual monoenergetic images for iron detectability in dual-energy CT: a Phantom study [0.03%]
双源CT中铁的检出能力与虚拟单能谱CT图像的最佳能量水平：体模研究
Lukkana Apipunyasopon,Petcharleeya Suwanpradit,Pakjira Saruang
Lukkana Apipunyasopon
Different energy levels of virtual monoenergetic images (VMI) characterize the attenuation properties of the image material. This study aims to investigate the optimal energy level of VMI for accurately determining the CT numbers of iron-co...
Fast 3D whole-body occupational dose estimation in interventional radiology using physics-informed deep learning [0.03%]
基于物理信息的深度学习在介入放射学中进行快速全身职业剂量估算中的应用
Hussein Harb,Didier Benoit,Chi-Hieu Pham et al.
Hussein Harb et al.
Occupational radiation exposure in interventional radiology is spatially heterogeneous and inadequately captured by conventional point-based dosimetry. This study proposes a physics-informed deep learning framework for fast prediction of th...