Detection and severity stratification of chronic liver disease using magnetic resonance intravoxel incoherent motion and elastography [0.03%]
基于磁共振技术的慢性肝病检测与分级诊断研究
Damiano Catucci,Sandro Urs von Daeniken,Verena Carola Obmann et al.
Damiano Catucci et al.
Background: With chronic liver disease (CLD) rising globally, noninvasive methods are needed to stratify early, intermediate, and advanced CLD with and without clinically significant portal hypertension (CSPH). ...
Liver shear wave elastography using a mechanical index exceeding regulatory limits is safe and effective [0.03%]
肝瞬态弹性测定的机械指数超过监管限制是安全有效的
Theodore T Pierce,Kim Naja,Scott J Schoen Jr et al.
Theodore T Pierce et al.
Background: Metabolic dysfunction-associated steatotic liver disease affects 1 in 3 people worldwide. Ultrasound shear wave elastography (SWE) in obese patients, the target population for testing, is hampered by beam atte...
The art of reading shadows [0.03%]
读取影子的艺术
Juan Pablo Cruz-Bastida
Juan Pablo Cruz-Bastida
XComposition: multimodal deep learning model to measure body composition using chest radiographs and clinical data [0.03%]
基于胸部X线片和临床数据的多模态深度学习模型测量体成分
Ehsan Alipour,Samuel Gratzl,Ahmad Algohary et al.
Ehsan Alipour et al.
Background: Body composition metrics such as visceral fat volume, subcutaneous fat volume, and skeletal muscle volume are important predictors of cardiovascular disease, diabetes, and cancer prognosis. ...
Bayesian additive regression trees for machine learning to classify benign vs atypical lipomatous tumors on MRI [0.03%]
用于磁共振成像区分良性与非典型脂肪瘤的贝叶斯加法回归树机器学习方法
Felipe Godinez,Nimu Yuan,Rijul Garg et al.
Felipe Godinez et al.
Background: Atypical lipomatous tumors (ALTs) are aggressive fat cell tumors that are distinguished from benign lipomas (SL) mainly through histopathology. Biopsy is needed for suspicious cases but can miss malignancy, so...
Early detection of pancreatic cancer on computed tomography: advancements with deep learning [0.03%]
基于深度学习的CT早期胰腺癌检测研究进展
Felipe Lopez-Ramirez,Emir A Syailendra,Florent Tixier et al.
Felipe Lopez-Ramirez et al.
Advancements in artificial intelligence (AI) are transforming medical imaging diagnostics, offering new possibilities for automated pancreatic tumor detection in computed tomography scans. Pancreatic ductal adenocarcinoma continues to be on...
Cerenkov luminescence imaging and flexible autoradiography for specimen margin assessment during breast-conserving cancer surgery [0.03%]
乳腺癌保留乳房手术中切缘评估的切连科夫发光影像和柔性自显影技术
Aaditya Sinha,Zhane Peterson,Belul Shifa et al.
Aaditya Sinha et al.
Background: Among women with breast cancer who undergo breast-conserving surgery (BCS), 20% to 25% require further surgery because of close or involved margins. Improved techniques are needed to assess resection margins. ...
Platelet-rich plasma for patellar tendinopathy: a randomized controlled trial correlating clinical outcomes and quantitative imaging [0.03%]
富血小板血浆治疗髌腱病变：一项随机对照试验及其临床效果和定量影像的相关性研究
Rianne A van der Heijden,Zachary Stewart,Robert Moskwa et al.
Rianne A van der Heijden et al.
Background: Patellar tendinopathy is a common overuse injury in active individuals, often with incomplete recovery. Recently, platelet-rich plasma (PRP) treatment has shown promising results. Traditional qualitative marke...
Photon counting detector computed tomography in pediatric cardiothoracic CT imaging [0.03%]
儿科心血管胸部CT成像中的光子计数探测器计算机断层摄影技术
Marilyn J Siegel,Juan C Ramirez-Giraldo
Marilyn J Siegel
Photon-counting detector computed tomography (PCD-CT) is the most recent advancement in CT technology and has the potential to change clinical practice. Unlike conventional energy-integrated-detector (EID) that uses a two-step process to co...
Deep learning-based amyloid PET harmonization to predict cognitive decline in non-demented elderly [0.03%]
基于深度学习的淀粉样PET影像调谐预测非痴呆老年人的认知衰退
Yoon Seong Choi,Pei Ing Ngam,Jeong Ryong Lee et al.
Yoon Seong Choi et al.
Background: The robustness of conventional amyloid PET harmonization across tracers has been questioned. Purpose: To evaluate deep lear...