Circulating Proteins for Pretreatment Risk Stratification in Image-guided Liver Therapy [0.03%]
影像引导肝治疗的术前风险分层循环蛋白研究
Shakthi Kumaran Ramasamy,Ripal T Gandhi
Shakthi Kumaran Ramasamy
Spectral CT and Photon-counting Detector CT: Principles and Applications in Neuroradiology [0.03%]
光子计数探测器和光谱CT在神经影像中的原理及应用
Jennifer C Hayes,Ashok Srinivasan,Jayapalli Rajiv Bapuraj
Jennifer C Hayes
Spectral CT and photon-counting detector (PCD) CT are recent innovations in imaging that have gained increasing use as diagnostic tools. Both modalities leverage advanced detector technologies-PCD CT uses detectors that count individual x-r...
AI-based Triage in Breast Cancer Screening Reduces Workload with Noninferior Cancer Detection but Higher Recall [0.03%]
基于人工智能的乳腺癌筛查分诊可减少工作量但会增加召回率且检测效果不相上下
Rebecca Breen,Maggie Chung
Rebecca Breen
Radhika Rajeev,Pranjal Rai
Radhika Rajeev
Elijah Huang
Elijah Huang
Histologic Growth Pattern Assessment in Colorectal Liver Metastases with Photoacoustic Imaging: Exciting Potential for Clinical Applications [0.03%]
基于 photoacoustic 成像的肝转移瘤生长模式评估及其临床应用前景研究
Antony Haddad,Neal Bhutiani
Antony Haddad
Automated Apparent Diffusion Coefficient Measurement of Breast Tumors in Diffusion-weighted MRI for Early Neoadjuvant Chemotherapy Response Assessment [0.03%]
用于早期新辅助化疗反应评估的扩散加权MRI下乳腺肿瘤表观扩散系数的自动化测量方法
Nu N Le,Wen Li,Lisa J Wilmes et al.
Nu N Le et al.
Purpose To develop a fully automated method for measuring apparent diffusion coefficient (ADC) for breast tumors in diffusion-weighted MRI that is objective, repeatable, and reproducible for assessing early response to neoadjuvant chemother...
Time-dependent Diffusion MRI-based Microstructural Mapping Value for Predicting Meningioma Grade, Subtype, and Proliferative Activity [0.03%]
基于时间依赖性扩散MRI的微结构映射值在预测脑膜瘤分级、亚型和增殖活性中的作用
Hua Zhang,Dongmei Jiang,Junhuan Hong et al.
Hua Zhang et al.
Purpose To explore the diagnostic performance of time-dependent diffusion MRI (td-dMRI) combined with histogram analysis in predicting meningioma grade, subtype, and proliferative activity. Materials and Methods A total of 107 participants ...