Şükrü Mehmet Ertürk
Şükrü Mehmet Ertürk
Intrathecal gadolinium-enhanced magnetic resonance cisternography with three-dimensional fluid-attenuated inversion recovery and T1-weighted imaging: new perspectives on arachnoid cysts [0.03%]
应用三维液体衰减翻转恢复和T1加权成像的室间隔增强磁共振小脑延髓池造影对蛛网膜囊肿检查的新观点
Rıfat Özpar,Pınar Eser,Ahmet Bekar et al.
Rıfat Özpar et al.
Purpose: To assess the communication status of arachnoid cysts (ACs) and examine the findings of intrathecal gadolinium-enhanced magnetic resonance cisternography (IGMRC) using three-dimensional (3D) T1-weighted (T1W) and...
Intratumoral and peritumoral radiomics based on multi-parametric magnetic resonance imaging for predicting microsatellite instability in endometrial cancer [0.03%]
基于多参数磁共振成像的瘤内和瘤周影像组学预测子宫内膜癌微卫星不稳定性
Xiaoyu He,Xi Yin
Xiaoyu He
Purpose: This study aimed to evaluate the utility of intratumoral and peritumoral radiomics derived from multi-parametric magnetic resonance imaging for predicting microsatellite instability (MSI) in endometrial cancer (E...
Glass-box agentic-style workflow for multiclass cine cardiac magnetic resonance imaging classification with a large language model [0.03%]
基于大语言模型的多分类心肌电影心脏磁共振成像分类的玻璃盒代理式工作流
Ismail Mese,Burak Kocak
Ismail Mese
Purpose: To develop and evaluate a glass-box, agentic-style radiology pipeline that separates perception from reasoning for auditable multiclass diagnosis on cine cardiac magnetic resonance imaging (MRI), and to quantify ...
Predicting drainage success of peritonsillar abscesses: a radiomics-based machine learning approach using contrast-enhanced computed tomography [0.03%]
基于对比剂增强CT的影像组学结合机器学习预测扁桃体周围脓肿引流预后研究
İzzet Selçuk Parlak,Bökebatur Ahmet Raşit Mendi,Alperen Özkan
İzzet Selçuk Parlak
Purpose: To develop and validate radiomics-based machine learning models combined with clinical parameters derived from venous phase contrast-enhanced computed tomography (CECT) for predicting drainage success in patients...
Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs [0.03%]
多模态大型语言模型在放射线照相骨病变检测和表征中的表现
Raşit Eren Büyüktoka,Ali Salbas,Atilla Hikmet Cilengir et al.
Raşit Eren Büyüktoka et al.
Purpose: Multimodal large language models (LLMs) offer emerging capabilities in medical image interpretation; however, their efficacy in orthopedic oncology remains unverified. This study aimed to evaluate and benchmark t...
Reply: Evaluating the reference accuracy of large language models in radiology: a comparative study across subspecialties [0.03%]
回复：放射学中大型语言模型参考准确性的评估：跨亚专业的比较研究
Yasin Celal Güneş,Turay Cesur,Eren Çamur
Yasin Celal Güneş
Letter to the Editor: Pleural tail sign in computed tomography-guided lung biopsy: insights and considerations for clinical practice [0.03%]
论著来稿: CT引导下经皮肺活检中的胸膜尾征:临床启示及思考
Andrea Carolina Munive,Nicolás Guerrero Acosta,Isabella Andrea Bolaños Bermúdez et al.
Andrea Carolina Munive et al.
Reply: "Pleural tail sign in computed tomography-guided lung biopsy: insights and considerations for clinical practice" [0.03%]
"关于"胸部CT引导下经皮肺活检的胸膜尾征":临床启示及注意事项的回信"
Jacob Jalil Hassan,Hans-Jonas Meyer
Jacob Jalil Hassan