Application of streak metal artifact reduction technique in cone-beam computed tomography guided percutaneous transthoracic needle biopsy [0.03%]
锥形束CT引导经皮肺穿刺活检中条带金属伪影减少技术的应用研究
Zhi-Lin Wang,Ge Wu
Zhi-Lin Wang
Background: Metallic artifacts from coaxial needles can severely interfere with the precision of cone-beam computed tomography (CBCT)-guided percutaneous transthoracic needle biopsy (PTNB), particularly in assessing vital...
Role of cerebral blood flow changes in post-transjugular intrahepatic portosystemic shunts hepatic encephalopathy [0.03%]
经颈静脉肝内门体分流术后肝性脑病的脑血流改变的作用
Wan-Li Zhuang,Shang-Wen Xu,Jian Fang et al.
Wan-Li Zhuang et al.
Background: Hepatic encephalopathy (HE) is the most common serious complication after transjugular intrahepatic portosystemic shunts (TIPS) surgery, the pathogenesis of which is not well understood. ...
Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma [0.03%]
基于磁共振成像的肝细胞癌经动脉化疗栓塞治疗反应可解释影像组学模型预测
Qi Mao,Peng Zhang,Mao-Ting Zhou et al.
Qi Mao et al.
Background: Transarterial chemoembolization (TACE) is important role for the treatment of unresectable hepatocellular carcinoma (HCC). However, owing to the heterogeneity of HCC tumors, TACE efficacy varies among individu...
High-resolution computed tomography predicts optimal cochlear implantation strategy in patients with chronic otitis media [0.03%]
高分辨率CT预测慢性中耳炎患者的 Cochlear植入术最佳策略
Li-Jing Zhao,Yong Fu,Zhi-Li Zhang
Li-Jing Zhao
Background: Surgical strategies for cochlear implantation in patients with chronic otitis media (COM) are diverse and largely depend on the extent of the underlying pathology. ...
Redefining the diagnostic pathway for pulmonary nocardiosis: The imperative for early metagenomic sequencing [0.03%]
重新定义肺诺卡菌病的诊断途径：早期宏基因组测序的必要性
Tarun Kumar Suvvari,Ruchita Kodakandla,Venkataramana Kandi
Tarun Kumar Suvvari
In this article, we comment on the pivotal article by Wang et al. We focus on the critical intersection of advanced imaging and molecular diagnostics highlighted by their findings. The study delineates specific high-risk computed tomography...
Radiotherapy combined with bevacizumab in gastrointestinal cancers: Balancing efficacy against the risk of intestinal perforation [0.03%]
放疗联合贝伐单抗治疗消化道肿瘤：疗效与肠道穿孔风险的权衡
Yan Xu,Xiao-Bing Huang,Yong-Gang He
Yan Xu
The combination of radiotherapy with bevacizumab represents a promising therapeutic strategy for advanced gastrointestinal cancers. While this combination leverages synergistic mechanisms to enhance antitumor efficacy, it also poses signifi...
Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency [0.03%]
扩大人工智能在急诊放射学中的应用：推进精准医学和资源效率提升
Zhen-Xing He,Jie Wang,Jian-She Yang
Zhen-Xing He
Owing to their swift, precise, and tireless capabilities, artificial intelligence (AI) applications in emergency radiology are becoming powerful tools for radiologists. These applications, which are useful for improving diagnostic efficienc...
Rationalizing whole-body computed tomography in trauma: A national audit on resource utilization and strategies to minimize radiation exposure [0.03%]
创伤患者全身CT检查合理化：一项关于资源配置和减少辐射暴露策略的全国审计研究
Latifah Al-Kandari,Michael A Masoomi,Abdelhamid A El-Gargani et al.
Latifah Al-Kandari et al.
Background: Major trauma is the sixth leading cause of death worldwide and the leading cause of death and disability in the population aged 5 years to 45 years. The assessment is typically guided by strict protocols to qu...
Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection [0.03%]
基于磁共振影像的深度学习放射组学评分在手术切除儿童肝母细胞瘤生存预测和风险分层中的应用
Yu-Han Yang,Yuan Li
Yu-Han Yang
Background: Children with hepatoblastoma (HB) remain high heterogeneity with distinct survival outcomes among individuals after surgical resection. Therefore, it's essential to identify high-risk patients with poor outcom...
Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage [0.03%]
基于深度学习的影像模型预测自发性脑出血早期血肿扩大及住院死亡率
Yu-Han Yang,Yuan Li
Yu-Han Yang
Background: Spontaneous intracerebral hemorrhage (ICH) is a severe form of stroke with high early mortality, and hematoma enlargement (HE) occurs in roughly one-third of patients and strongly predicts poor outcomes. Quant...