Ultrasound-guided caudal epidural steroid injection in chronic radicular low back pain: short-term electrophysiologic benefits [0.03%]
超声引导下尾椎硬膜外类固醇注射在慢性根性腰痛中的短期电生理学益处
Maha Emad Ibrahim,Magdy Ahmed Awadalla,Aziza Sayed Omar et al.
Maha Emad Ibrahim et al.
Objective: To assess the short-term efficacy of ultrasound-guided caudal epidural steroid injections (ESIs) in improving pain, and nerve function as measured by electrophysiological testing in chronic radicular low back p...
The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine [0.03%]
医学影像和核医学中人工智能的当前状态
Louise I T Lee,Senthooran Kanthasamy,Radha S Ayyalaraju et al.
Louise I T Lee et al.
The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has been around since the 1950s, although technological limitations in the early days meant performance was initially inferior compared to humans...
Céline Du Pasquier,Rami Hajri,Romain Lazor et al.
Céline Du Pasquier et al.
The diagnosis of interstitial lung disease may be challenging, especially in atypical disease. Various factors must be considered when performing and reading a chest CT examination for interstitial lung disease, because each of them may rep...
Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI [0.03%]
PET/MRI衰减校正中的金属伪影矫正策略研究
Georg Schramm,Claes Nøhr Ladefoged
Georg Schramm
In hybrid positron emission tomography (PET) and MRI systems, attenuation correction for PET image reconstruction is commonly based on processing of dedicated MR images. The image quality of the latter is strongly affected by metallic objec...
Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy [0.03%]
评价弥散加权MRI和氟脱氧葡萄糖-FET PET生物标志物在新辅助化疗的可手术非小细胞肺癌患者早期疗效评估中的价值
Dominic Carlin,Alexander Weller,Gem Kramer et al.
Dominic Carlin et al.
Objective: To correlate changes in the apparent diffusion coefficient (ADC) from diffusion-weighted (DW)-MRI and standardised uptake value (SUV) from fluorothymidine (18FLT)-PET/CT with histopathological estimates of resp...
Registration accuracy with the low dose kilovoltage cone-beam CT: A phantom study [0.03%]
低剂量千伏级锥形束CT的注册精度：仿体实验研究
Yoshiki Takei,Hajime Monzen,Kenji Matsumoto et al.
Yoshiki Takei et al.
Objective: The aim of this study was to investigate low-dose kilovoltage cone-beam CT (kV-CBCT) for image-guided radiotherapy, with a particular focus on the accuracy of image registration with low-dose protocols. ...
Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors [0.03%]
基于CT的肾皮质体积测定术前活体供肾者的单侧肾功能的可靠性研究
Chuthaporn Surawech,Kewalee Sasiwimonphan
Chuthaporn Surawech
Objective: The purpose of this study was to assess the utility of CT-based renal cortex volume to estimate split renal function (SRF) in pre-transplant living kidney donors and to evaluate its reliability to predict graft...
Radiation dosimetry changes in radiotherapy treatment plans for adult patients arising from the selection of the CT image reconstruction kernel [0.03%]
CT图像重建内核选择导致的成人患者放射治疗计划中的剂量改变规律研究
Anne T Davis,Sarah Muscat,Antony L Palmer et al.
Anne T Davis et al.
Objective: The reconstruction kernel used for a CT scan strongly influences the image quality. This work investigates the changes in Hounsfield units (HUs) which can arise when altering the image reconstruction kernel for...
Current status of stereotactic ablative body radiotherapy in the UK: six years of progress [0.03%]
英国立体定向身体放疗的现状：六年的进展
Gail Distefano,Satya Garikipati,Helen Grimes et al.
Gail Distefano et al.
Objective: To update the 2012 UK stereotacticablative radiotherapy (SABR) Consortium survey and assess the development of SABR services across the UK over the past 6 years. Use the results to share practice and continue t...
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling [0.03%]
在放射治疗结果建模中平衡机器学习方法的准确性与可解释性
Yi Luo,Huan-Hsin Tseng,Sunan Cui et al.
Yi Luo et al.
Radiation outcomes prediction (ROP) plays an important role in personalized prescription and adaptive radiotherapy. A clinical decision may not only depend on an accurate radiation outcomes' prediction, but also needs to be made based on an...