Diagnosis of tympanic effusions using hyperspectral imaging to prevent unnecessary paracentesis procedures [0.03%]
应用高光谱成像诊断鼓室积液以减少不必要的穿刺操作
Maximilian Gänzle,Sabine Löffler,Denis Gholami Bajestani et al.
Maximilian Gänzle et al.
Background: Otitis Media with Effusion (OME) is a prevalent childhood condition, affecting up to 90% of children with 10% progressing to a chronic state. It is commonly treated by tympanostomy tube placement. Diagnosis re...
Preoperative tumor cerebral blood flow measured by arterial spin labeling predicts enhancing tumor volume progression in gliomas: a single-center retrospective study [0.03%]
基于动脉自旋标记的胶质瘤术前肿瘤脑血流与强化肿瘤体积进展的相关性研究
Thomas Lindner,Jens Fiehler
Thomas Lindner
Background: Arterial spin labeling (ASL) enables non-invasive quantification of cerebral blood flow (CBF). The preoperative prognostic value of tumor-specific CBF for subsequent enhancing tumor (ET) volume progression in ...
The impact of protective eyewear and device position on operator radiation dose during handheld portable X‑ray device use [0.03%]
手持式便携X射线设备使用过程中护目镜及装置位置对操作者辐射剂量影响的研究
Sinem Coşkun Albayrak,Alican Kuran,Murat Doğuş Günel
Sinem Coşkun Albayrak
Objectives: The use of handheld dental X-ray devices has been increasing, raising concerns about operator radiation exposure. This study evaluated the effects of handheld dental X-ray device positioning and protective eye...
A novel biological interpretation of neuropsychiatric symptoms in patients with allergic rhinitis: insights from brain functional connectivity gradient and serum multi-omics analysis [0.03%]
一项对过敏性鼻炎患者神经精神症状的新生物学解读：来自脑功能连接梯度和血清多组学分析的启示
Ting Yang,Tongpeng Chu,Xiaoyu Song et al.
Ting Yang et al.
Background: The "nose-brain axis" has been proposed as a key mechanism linking allergic rhinitis (AR) to central nervous system (CNS) dysfunction; however, alterations in functional connectivity (FC) gradients remain unex...
The value of double inversion recovery MRI sequences in the diagnosis of inflammatory demyelinating diseases of the spinal cord [0.03%]
双反转恢复MRI序列在脊髓炎性脱髓鞘疾病诊断中的价值
Yannan Zhang,Qian Xiao,Dan Zhu et al.
Yannan Zhang et al.
Background: Spinal inflammatory demyelinating diseases (IDDs) often exhibit overlapping imaging features across different etiologies. This study aims to compare and analyze the differences in qualitative diagnostic capabi...
Automated morphometric segmentation analysis of hand X-ray image using deep learning network [0.03%]
基于深度神经网络的手X线影像自动形态计量分割分析方法
Yiyang Zhang,Zhukai Zhuang,Pengli Yu et al.
Yiyang Zhang et al.
Background: The rapid development of deep learning in computer vision has led to increasing interest in its applications to medical image analysis. While many studies have focused on morphometric measurements from MR and ...
Capability of multiparametric MRI to detect diabetic nephropathy in high-risk patients with type 2 diabetes: a prospective preliminary study [0.03%]
用于检测高危2型糖尿病患者糖尿病肾病的多参数MRI诊断能力：一项前瞻性初步研究
Wei Mao,Xiaoqiang Ding,Caixia Fu et al.
Wei Mao et al.
Background: Early diagnosis and treatment of diabetic nephropathy (DN) is important for improving prognosis of patients, but the noninvasive and reliable diagnostic tool is lacking. We aim to investigate the ability of mu...
Optimizing carotid plaque visualization: the advantage of subtraction imaging from dual-layer spectral CT [0.03%]
优化颈动脉斑块的可视化：双层谱CT减影的优势
Yuanyuan Wu,Xueke Zhang,Zeyuan Cao et al.
Yuanyuan Wu et al.
Background: Computed tomography angiography (CTA) has become the primary method for detecting carotid atherosclerosis. However, the visibility of the arterial wall on the CTA is poor because of the high attenuation lumen ...
A combi-elasto ultrasound based deep learning model on liver fibrosis staging for suspected MASLD/MASH patients [0.03%]
基于组合弹性超声的深度学习模型在肝纤维化分期中的应用研究用于疑似MASLD/MASH患者的诊断与评估
Daolin Xie,Fei Pei,Minghua Ying et al.
Daolin Xie et al.
Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) weakened the diagnostic ability of traditional elastography ultrasound on liver fibr...
Predicting local control of brain metastases after Gamma Knife radiosurgery: a multimodal deep learning-radiomics approach [0.03%]
基于多模态深度学习-影像组学预测伽玛刀放射外科治疗后脑转移瘤的局部控制效果
Minghui Zhao,Xiaofeng Ding,Xinchen Sun et al.
Minghui Zhao et al.
Background: Accurate prediction of local control (LC) following Gamma Knife radiosurgery (GKRS) remains clinically challenging for patients with brain metastases (BMs) secondary to breast or lung cancer. The scarcity of v...