Advancements in Endoscopic Optical Coherence Tomography for Urothelial Carcinoma: Research Progress and Clinical Applications [0.03%]
内镜光学相干断层扫描技术在尿路上皮癌中的研究进展及临床应用
Yongkun Zhu,Qiang Hu,Rui Zhang et al.
Yongkun Zhu et al.
Background: This review summarizes recent advances in endoscopic optical coherence tomography for urothelial carcinoma, focusing on technical features, clinical applications, and future directions. ...
Association of Prostate Multiparametric MRI Parameters with Gleason Score: A Fusion Biopsy-Based Correlation [0.03%]
前列腺多参数MRI与Gleason评分的关系：基于融合穿刺活检的分析
Davut Ünsal Çapkan,Mehmet Hamdi Şahan
Davut Ünsal Çapkan
Introduction: This study aimed to investigate the relationship between imaging parameters obtained from Multiparametric Magnetic Resonance İmaging (MPMRI) and Gleason Scores (GS) derived from targeted prostate biopsies p...
A Comprehensive Review of Radiomic Methodologies for Assessing Tumor Response to Immunotherapy and Combination Therapies [0.03%]
免疫疗法和联合疗法肿瘤反应的放射组学评估方法综述
Haijun Tian,Yawei Ma,Li Zhu et al.
Haijun Tian et al.
Recent advances in the genetic and molecular characterization of cancer have significantly enhanced the development of immunotherapies, which bolster the host immune system's ability to recognize and target malignant cells, thereby promotin...
PRAD-Hybrid CNN (PRADHC): A Deep Learning Model for Assisted Diagnosis of Prostate Cancer on MRI [0.03%]
基于MRI前列腺癌辅助诊断的深度学习模型PRAD-Hybrid CNN（PRADHC）
Jingpeng Liu,Lingxuan Hou,Yang Xu et al.
Jingpeng Liu et al.
Background: Prostate cancer is a prevalent malignancy in males, with prostate MRI imaging as the primary diagnostic method. However, this method is subjective and can miss early-stage cancers, necessitating more efficient...
Small Animal 31P Cardiac MR Spectroscopy: Sequence and Setup Optimization [0.03%]
小型动物心脏31P磁共振波谱成像的序列和设置优化
Matthias Luetgens,Tobias Lindner,Cajetan Lang et al.
Matthias Luetgens et al.
Introduction: To determine the metabolic composition of mouse myocardium in vivo, the phosphorus (31P) magnetic resonance spectroscopy (MRS) setup was investigated and optimized. ...
Wenyan Zhang,Qin Li,Gang Wu
Wenyan Zhang
Purpose: This study aimed to establish a prediction model for Idiopathic Inflammatory Myopathies (IIM) based on the radiomics of verasimus intermedius. Me...
Evaluating Consistency and Accuracy of GPT-4 Omni to Analyze Thyroid Ultrasound Features and ACR TR Categories to Aid Report Generation [0.03%]
评估GPT-4 Omni分析甲状腺超声特征和ACR TR类别的一致性和准确性以辅助报告生成
Zebang Yang,Tongyi Huang,Lei Huang et al.
Zebang Yang et al.
Introduction: Multimodal large language models, including GPT-4 Omni (GPT-4o), have been applied for facilitating the healthcare process, but their capacity to interpret thyroid sonography images to aid report generation,...
Heterogeneous Water Diffusion on DWI/ADC in Moderately Differentiated Rectal Adenocarcinoma: A Case Report and Pathologic Correlation [0.03%]
中分化直肠腺癌弥散加权成像及表观扩散系数的异质性分析：1例报告及病理对照
Vu Khac Hoang,Nguyen Van Hung,Lam Viet Anh et al.
Vu Khac Hoang et al.
Background: Colorectal tumors are common, and magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC), and contrast-enhanced sequences can assist in distinguishing beni...
Value of High Frame Rate Contrast-enhanced Ultrasound in Evaluating Vascular Morphology of Renal Cell Carcinoma [0.03%]
高强度对比超声在肾细胞癌血管形态学评价中的价值
Jingling Wang,Wenxin Yuan,Hailan Wu et al.
Jingling Wang et al.
Background: Different subtypes of renal cell carcinoma (RCC) exhibit distinct tumor vascular morphological features. However, current imaging techniques still have limitations in delineating the vascular morphology of RCC...
Radiomics-Based Machine Learning Models for Classifying Breast Cancer on Dynamic-Contrast Enhanced MRI through Multi-Observer Analysis [0.03%]
基于影像组学的机器学习模型通过多观察者分析对动态增强乳腺磁共振图像进行分类诊断
Faikah Awang Ismail,Muhammad Khalis Abdul Karim,Mohd Mustafa Awang Kechik et al.
Faikah Awang Ismail et al.
Introduction: Breast cancer remains a significant global health issue, necessitating rapid alternative diagnostic methods to improve survival rates. This study aimed to evaluate observer performance in the manual segmenta...