A positioning method for the transiliac-transsacral screw bone channel based on a manual tracing of a transparent overlay of preoperative computed tomography images in patients with pelvic fracture and a unilateral trans-sacroiliac corridor [0.03%]
基于术前CT影像透明蒙片手工描绘的骶髂单侧通道骨折患者骶骨和髂骨螺钉通道定位方法研究
Guozhu Ye,Zhichao Qi,Lei Huang et al.
Guozhu Ye et al.
Unstable posterior pelvic ring injuries are carrying a significant mortality risk, and the gold standard treatment for this condition is percutaneous sacroiliac screw fixation. However, traditional methods for transiliac-transsacral screw p...
Clinical and ultrasound features of ovarian sclerosing stromal tumors: a large single-center case series [0.03%]
卵巢硬化性间质瘤的临床和超声特征：单中心大样本病例系列分析
Jing Wang,Jing Cai,Wei Jiang et al.
Jing Wang et al.
Background: Ovarian sclerosing stromal tumor (OSST) is a rare, benign sex cord-stromal tumor, often occurring in young women and presenting with nonspecific symptoms or hormonal effects. Its diagnosis remains challenging ...
Evaluation of high-grade growth patterns in invasive adenocarcinomas manifesting as ground-glass lesions via clinical and qualitative and quantitative computed tomography features [0.03%]
基于临床及定性、定量CT特征评估磨玻璃结节型浸润性腺癌的高级别生长模式
Shan-Tong Yan,Can Ding,Ting Li et al.
Shan-Tong Yan et al.
Background: High-grade growth patterns (HGPs) have a negative impact on the prognosis of patients with lung invasive adenocarcinoma (IAC). This study aimed to use clinical and computed tomography (CT) features to determin...
Evaluation of optimal ClearInfinity artificial intelligence deep learning reconstruction algorithm weights with a 70-kVp tube voltage combined with "dual-low" abdominal computed tomography angiography [0.03%]
基于Clearinfinity人工智能深度学习重建算法的“双低”管电压腹主动脉CTA血管成像最佳权重研究
Jialin Xiang,Sai Wang,Chao Liu et al.
Jialin Xiang et al.
Background: Abdominal computed tomography angiography (CTA) often requires a high tube voltage and relatively large contrast volume to ensure adequate vascular enhancement, which increases radiation exposure and contrast-...
A fusion model of deep learning and conventional features based on computed tomography angiography of carotid plaque for predicting the risk of acute ischemic stroke [0.03%]
基于CT血管造影的颈动脉斑块急性缺血性脑卒中风险预测的深度学习与常规影像融合模型研究
Yu Tang,Jinlin Yang,Yimiao Luo et al.
Yu Tang et al.
Background: Stroke is one of the leading causes of death and disability worldwide, with carotid atherosclerosis figuring prominently in its etiology. Traditional risk assessment based on stenotic degree provides only limi...
Three-dimensional assessment of posterior polymorphous corneal dystrophy with swept-source optical coherence tomography [0.03%]
扫频源光学相干断层扫描评估后多形层角膜营养不良三维形态学变化
Jini Qiu,Lijia Tian,Yuhong Chen et al.
Jini Qiu et al.
Background: Posterior polymorphous corneal dystrophy (PPCD), also known as Schlichting dystrophy, can present as either autosomal dominant or isolated unilateral cases, with a similar phenotype but without a hereditary pa...
Acute susceptibility changes of deep gray matter nuclei to gadobutrol: a prospective longitudinal study using quantitative susceptibility mapping [0.03%]
定量磁敏感加权成像技术评估钆贝葡胺后深部灰质核团急性磁化率变化的前瞻性研究
Meng Yang,Qinglei Zhang,Xue Liang et al.
Meng Yang et al.
Background: Gadolinium-based contrast agents (GBCAs) are associated with gadolinium deposition in the brain. Quantitative susceptibility mapping (QSM) enables sensitive quantification of paramagnetic substances. However, ...
Yan Li,Weiya Wang,Su Lui et al.
Yan Li et al.
Magnetic resonance imaging characteristics of brain metastases from lung cancer [0.03%]
肺癌脑转移的磁共振影像学特征分析
Lian-Yu Sui,Li-Hong Xing,Huan Meng et al.
Lian-Yu Sui et al.
Background: One of the most common primary tumor sources of brain metastases (BMs) is lung cancer. As certain magnetic resonance imaging (MRI) features overlap between the pathological and genetic subtypes of lung cancer ...
Systemic inflammation and adjacent segment disease after lumbar fusion: the importance of biomarker timing [0.03%]
腰椎融合术后全身性炎症与邻近节段疾病的发生发展：生物标志物检测时机的重要性分析
Audai Abudayeh,Iakiv Fishchenko
Audai Abudayeh