Comparing CT-guided and fluoroscopic-guided interventions for chronic low back pain management: a randomized trial [0.03%]
一种针对慢性下腰痛管理的随机研究：基于CT与荧光镜介入治疗的比较
Ahmed Awad Bessar,Hazem Abu Zeid Yousef,Abdelrahman A Omar et al.
Ahmed Awad Bessar et al.
Objective: Low back pain (LBP) is a leading cause of disability, with radicular symptoms often resistant to conservative treatments. While fluoroscopy and computed tomography (CT) play a pivotal role in procedural accurac...
Randomized Controlled Trial
European radiology experimental. 2026 Mar 17;10(1):33. DOI:10.1186/s41747-025-00676-w 2026
Integration of detection and tracking networks for automated rib multiplanar reconstruction: a feasibility study for fracture diagnosis [0.03%]
基于检测与跟踪网络的自动化肋骨多平面重建：骨折诊断可行性研究
Donglin Wen,Huasheng Zhuo,Xuedan Zeng et al.
Donglin Wen et al.
Objective: Rib fractures are common yet time-consuming to diagnose. This study explores automation via multiplanar reconstruction and intelligent detection algorithms to accelerate and optimize clinical assessment. ...
Francesco Pacchiano,Mario Tortora,Valentina Bordin et al.
Francesco Pacchiano et al.
Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the developing brain and in identifying congenital defects and minor developmental malformations. While fetal brain MRI interpretation has always...
Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study [0.03%]
基于深度学习的生成合成CEM图像研究——未来无需对比剂吗？概念验证性研究
Konstantinos Zormpas-Petridis,Reza Kalantar,Ludovica Iaccarino et al.
Konstantinos Zormpas-Petridis et al.
Objective: We used deep learning to generate synthetic, resembling in appearance, iodine-enhanced, mammograms from low-energy contrast-enhanced mammography (CEM) images. ...
Photon-counting CT-guided bone biopsy with real-time bone marrow edema mapping [0.03%]
基于实时骨髓水肿制图的单光子计数CT引导下骨活检
B Alvarez de Sierra Garcia,C Urtasun-Iriarte,P Nieto et al.
B Alvarez de Sierra Garcia et al.
Objective: Computed tomography-guided biopsies are needed to diagnose bone lesions, but can sometimes be challenging. We evaluated the feasibility and usefulness of photon-counting computed tomography (PCCT)-guided bone b...
Deep learning-based identification of chronic pulmonary embolism on CTPA: a regional lung analysis using multiplanar MIP images [0.03%]
基于深度学习的慢性肺栓塞CTPA影像识别：多平面MIP图像的分区肺分析
Tuomas Vainio,Teemu Mäkelä,Arttu Ruohola et al.
Tuomas Vainio et al.
Objective: Chronic pulmonary embolism (CPE) and chronic thromboembolic pulmonary hypertension (CTEPH) are challenging to diagnose, with delayed detection increasing mortality. We evaluated the performance of a convolution...
Cerebrovascular CTA radiomics for objective collateral grading in acute ischemic stroke [0.03%]
急性缺血性卒中血管重建CTA影像组学的客观侧支分级研究
Dimitrios Rallios,Adam Hilbert,Charles Majoie et al.
Dimitrios Rallios et al.
Objective: Collateral circulation is a key determinant of functional outcome after large vessel occlusion (LVO) and informs thrombectomy decisions. However, collateral grading is rater-dependent and error-prone. We develo...
Olga Maxouri,Mariah Daal,Serena Vegna et al.
Olga Maxouri et al.
Objective: Using radiomics to compute quantitative imaging features may reveal information beyond standard magnetic resonance imaging (MRI) metrics. We aim to investigate the test-retest repeatability of ¹⁹F MRI radiomi...
Tumor morphology on CT radiomics is largely driven by the local anatomical environment, not the primary tumor type [0.03%]
肿瘤形态的放射组学特征主要受局部解剖环境的影响，而不是原发肿瘤类型驱动的
Sajjad Rostami,Corentin Guérendel,Marleen Soliman et al.
Sajjad Rostami et al.
Objective: Radiogenomics promises noninvasive tumor profiling; however, the extent to which imaging morphology reflects tumor lineage versus host-organ milieu remains unclear. This study aimed to quantify the relative inf...
3D region-growing nnU-Net improves pulmonary embolism detection on CTPA: a dual-cohort validation study [0.03%]
基于CTPA的肺栓塞检测的3D区域生长nnU-Net：双队列验证研究
Ezio Lanza,Angela Ammirabile,Andrea Vanzulli et al.
Ezio Lanza et al.
Objectives: We compared three customized nnU-Net models (A: baseline two-dimensional (2D); B: 2D + region-growing; C: three-dimensional (3D) + region-growing) for automated detection and blood clot volume (BCV) quantifica...