Artificial intelligence in prostate MRI: Comparative diagnostic performance in a high-prevalence cohort [0.03%]
人工智能在前列腺MRI诊断中的应用：高发病人群中的比较诊断性能
Nádia Gonçalves Ferreira,Owen Matthew Truscott Thomas,Kjell-Inge Gjesdal et al.
Nádia Gonçalves Ferreira et al.
BackgroundArtificial intelligence (AI) is increasingly used in prostate cancer diagnostic workflows but remains insufficiently validated in high-prevalence cohorts often encountered in academic referral centers.PurposeTo compare the diagnos...
Clinical evaluation of deep learning-accelerated 3D FLAIR imaging at 1.5T and 3T for visualization of cerebral white matter lesions [0.03%]
基于深度学习的加速三维FLAIR成像在不同磁场强度下对脑白质病变的临床评估研究
Sittaya Buathong,Alexandra Filippakis,Chen Hua Chiang et al.
Sittaya Buathong et al.
BackgroundFluid-attenuated inversion recovery (FLAIR) imaging is a standard sequence used for the detection of white matter lesions; however, 1-mm isotropic FLAIR can take 5-7 min at 1.5T and 3T using routine methods, limiting routine use o...
Automated brain MRI protocol adaptation based on imaging findings using AI: diagnostic performance and agreement with neuroradiologists [0.03%]
基于人工智能的脑MRI协议自适应诊断性能与神经放射科医师的一致性评估研究
Kaining Sheng,Alexander Cuculiza Henriksen,David Mihal et al.
Kaining Sheng et al.
BackgroundSelecting optimal brain magnetic resonance imaging (MRI) protocols is a manual, error-prone process, often complicated by incomplete clinical information. Automated AI-based analysis of initial imaging sequences offers a potential...
Inter-observer variation in rectal cancer gross tumor volume delineation by radiologist and oncologist [0.03%]
放射科和肿瘤科医生勾画直肠癌GTV的差异分析
Iuliana Stratulat,Lennart Nedar,Erik Almhagen et al.
Iuliana Stratulat et al.
BackgroundThe PRORECT trial compares proton and photon radiotherapy in rectal cancer.PurposeTo evaluate inter-observer agreement in gross tumor volume (GTV) delineation between a radiation oncologist and a radiologist in the PRORECT trial. ...
Diagnostic performance of deep-learning algorithms in radiographic grading of knee osteoarthritis: a systematic review and meta-analysis [0.03%]
深度学习算法在放射线分级膝关节炎诊断中的表现：系统回顾和meta分析
Xiaolu Ren,Xinyu Jin,ZhiJun Wang et al.
Xiaolu Ren et al.
BackgroundDeep learning (DL) has been increasingly applied to grade knee osteoarthritis (KOA) on radiographs, but reported diagnostic performance varies across Kellgren-Lawrence (K-L) grades.PurposeTo systematically evaluate the diagnostic ...
Efficacy and safety of boosted transarterial radioembolization in patients with chemoembolization-refractory hepatocellular carcinoma [0.03%]
替罗扎ミ林联合经动脉放射栓塞治疗化疗栓塞失败的肝细胞癌患者的疗效和安全性研究
Gun Ha Kim,Eunbyeol Ko,Jeongyeon Kim et al.
Gun Ha Kim et al.
BackgroundRepeated transarterial chemoembolization (TACE) may lead to treatment refractoriness, in which tumors fail to respond despite technically adequate procedures. However, evidence to guide optimal management strategies for patients w...
Cementoplasty of extraspinal thoracic bones: feasibility, safety, and pain outcomes in a case series [0.03%]
经皮体骨水泥成形术的可行性、安全性及疗效：病例系列研究
Clément Péchiné,Eimad Shotar,Évelyne Cormier et al.
Clément Péchiné et al.
BackgroundCementoplasty is widely used for spinal and weight-bearing extraspinal lesions, but its application in extraspinal thoracic bones (sternum, ribs, clavicles, and scapulae) remains poorly documented.PurposeTo evaluate the feasibilit...
Prevalence of paranasal sinus opacifications on whole-body MRI in healthy children and adolescents: A population-based study [0.03%]
健康儿童和青少年全身体MRI中鼻窦异常的患病率：基于人口的研究
Torgrim Lysen Skiaker,Rikhard Bjørgve,Pia Karin Zadig et al.
Torgrim Lysen Skiaker et al.
BackgroundWhole-body (WB) magnetic resonance imaging (MRI) is increasingly being used in children and often includes the paranasal sinuses.PurposeTo examine the prevalence of paranasal sinus opacifications by age and over time, as seen on W...
Preoperative differentiation of adrenal pheochromocytoma and lipid-poor adenoma using CT-based radiomics: a systematic review and meta-analysis [0.03%]
基于CT的放射组学区分嗜铬细胞瘤和低脂腺瘤的术前诊断：系统回顾和荟萃分析
Nima Broomand Lomer,Amir Mahmoud Ahmadzadeh,Anahita Azinfar
Nima Broomand Lomer
Differentiating pheochromocytoma from lipid-poor adenoma (LPA) on conventional CT remains challenging because of overlapping imaging features. Radiomics captures relevant quantitative imaging information that maybe useful for this different...
Radiomics based on MRI for preoperative prediction of the tumor budding grade in rectal cancer: a systematic review and meta-analysis [0.03%]
基于MRI的影像组学用于术前预测直肠癌肿瘤芽分级：系统评价和Meta分析
Fan Xu,Zhiguo Deng,Yongjian Li et al.
Fan Xu et al.
BackgroundTumor budding (TB) is a critical histopathological feature of rectal cancer that is strongly associated with metastasis, recurrence, and poor prognosis.PurposeTo evaluate the diagnostic performance of radiomics models based on mag...