The application value of deep learning-based reconstruction combined with segmented contrast injection in "one-stop" cardio-cerebrovascular computed tomography angiography [0.03%]
基于深度学习的分割增强联合分段造影一站式心脑血管CTA临床应用价值研究
Qiushuang Zhang,Hangge Pan,Jianrong Ding et al.
Qiushuang Zhang et al.
Background: "One-stop" cardio-cerebrovascular computed tomography angiography (C&C-CTA) has become a current mainstay of craniocervical and coronary arteries screening, but concerns remain regarding the radiation safety a...
Application of high-frequency ultrasound in the diagnosis of brachial plexus injury in children with Narakas type IV obstetrical brachial plexus palsy [0.03%]
高频超声在难产型四度臂丛神经麻痹患儿诊断中的应用
Yuan Zhang,Chenguang Yang,Lixin Jiang et al.
Yuan Zhang et al.
Background: The accurate evaluation of Narakas type IV obstetrical brachial plexus palsy (OBPP) has been limited due to certain shortcomings in imaging technology. High-frequency ultrasonography may offer clearer observat...
The effect of imaging evaluation on surgery for giant omphalocele: a case description [0.03%]
影像评估对巨大脐膨出手术的影响：一例报告
Aihui Guan,Wen Zhao,Suixin Liang et al.
Aihui Guan et al.
Brain-computer interface training for multimodal functional recovery in patients with brain injury: a case series [0.03%]
脑损伤患者的脑机接口训练多模态功能恢复的案例系列研究
Peili Cao,Shijie Guo,Gangli Zhang et al.
Peili Cao et al.
Background: Patients with impaired brain function often face sequelae such as limb movement, cognitive, and language impairment, and there are limitations in the efficiency of traditional rehabilitation methods. This stud...
The predictive value of a combined nomogram model integrating ultrasound and fine-needle aspiration cytology for large-number cervical lymph node metastases in clinically node-negative papillary thyroid carcinoma: a propensity score matching analysis [0.03%]
超声联合细针穿刺细胞学的综合预测列线图模型对临床阴性颈淋巴结乳头状甲状腺癌大转移灶的价值：倾向值得分匹配分析
Weihan Xiao,Xiaomin Hu,Xiaoling Liu et al.
Weihan Xiao et al.
Background: Large-number cervical lymph node metastases (CLNMs) in clinically node-negative (cN0) papillary thyroid carcinoma (PTC) patients are challenging to detect preoperatively, but significantly influence prognosis ...
Predicting glioma histo-molecular diagnosis and prognosis: preoperative dynamic contrast-enhanced magnetic resonance imaging insights [0.03%]
基于动态对比增强磁共振成像的glioma组分子分型及预后预测研究
Hui Ma,Shanmei Zeng,Yingqian Huang et al.
Hui Ma et al.
Background: The preoperative prediction of glioma, integrated histological/molecular classification, and prognosis are critical for personalized patient management and treatment optimization. This study aimed to explore w...
Clinical research on echocardiographic screening for pulmonary hypertension: TRV >2.8 m/s and mPAP >20 mmHg [0.03%]
超声心动图筛查肺动脉高压的临床研究：TRV＞2.8m/s和mPAP＞20mmHg
Danmin Qin,Shuting Yang,Liwen Lin et al.
Danmin Qin et al.
Background: In 2022, the European Society of Cardiology (ESC) and the European Respiratory Society (ERS) revised the diagnostic criteria for pulmonary hypertension (PH) from mean pulmonary arterial pressure (mPAP) ≥25 mm...
Study on the effect of three-low technique in aortic computed tomography angiography for patients with body mass index [0.03%]
体重指数对主动脉CTA三种低剂量技术影响的研究
Zhijian Chen,Shaogang Wang,Ran Zhang et al.
Zhijian Chen et al.
Background: Aortic computed tomography (CT) angiography (ACTA) is a key noninvasive tool for assessing aortic diseases, which typically requires high tube voltage and large volumes of contrast agent, thus potentially incr...
Characterization of CT and MRI findings in sclerosing angiomatoid nodular transformation of the spleen: novel discovery of peritumoral vascular signs [0.03%]
脾脏血管瘤样结节转化的CT和MRI表现及其肿瘤周血管征的发现
Yang-Yang Chen,Peng-Ming Wang,Yu-Hua He et al.
Yang-Yang Chen et al.
Background: Sclerosing angiomatoid nodular transformation (SANT) is a rare benign vascular lesion of the spleen. Previous studies have described some imaging characteristics, such as centrifugal or centripetal enhancement...
The application of deep learning-based artificial intelligence algorithms combined with low-dose scanning protocols in chest CT [0.03%]
基于深度学习的人工智能算法结合低剂量扫描协议在胸部CT中的应用
Xiao-Jing Liu,Xian-Ying Ning,Shen Gui et al.
Xiao-Jing Liu et al.
Background: Under low-dose scanning conditions, different reconstruction algorithms have varying effects on image quality. This study aimed to investigate the effects of the precise imaging (PI) deep-learning artificial i...