Deep learning-based PSMA PET segmentation repeatability: A post-hoc analysis of a single-center, prospective, test-retest trial [0.03%]
基于深度学习的PSMA-PET分割重复性：单中心前瞻性测试-重测试验的事后分析
Jake Kendrick,Roslyn J Francis,Ghulam Mubashar Hassan et al.
Jake Kendrick et al.
Objectives: The primary aim of this study was to quantify the subject-level test-retest repeatability of artificial intelligence (AI)-derived PSMA PET imaging biomarkers using a previously developed model. The secondary a...
Recommendations for the diagnosis and treatment of spontaneous intracranial hypotension [0.03%]
自发性颅内低压诊断和治疗专家共识
Elisa Francesca Maria Ciceri,Luigi Cirillo,Francesco Causin et al.
Elisa Francesca Maria Ciceri et al.
Spontaneous intracranial hypotension (SIH) is a syndrome characterized by disabling orthostatic headache, resulting from a reduction in volume of cerebrospinal fluid (CSF) likely caused by a CSF leak. It mainly affects women at working age ...
Rim enhancement on imaging of pancreatic ductal adenocarcinoma: systematic review and meta-analysis of biological and prognostic values [0.03%]
胰腺导管腺癌影像上出现肿瘤边缘强化的生物学及预后价值的系统评价和meta分析
Matteo Renzulli,Alessandro Cucchetti,Valentina Zucchini et al.
Matteo Renzulli et al.
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive malignancies, with limited therapeutic options and poor prognosis. Dynamic contrast-enhanced imaging provides valuable non-invasive information on tumor biology, and...
Development of a prognostic model for preoperative stage I-III breast cancer using machine learning with integrated cone-beam breast computed tomography data [0.03%]
基于集成锥形束乳腺计算机断层扫描数据的机器学习在预operative期I-III期乳腺癌预后模型中的应用研究
Yang Zhao,Wenjuan Deng,Shanshan Zhou et al.
Yang Zhao et al.
Background/objectives: This study aimed to develop an integrated model based on cone-beam breast computed tomography (CBBCT) and hematological indicators to predict the prognosis of preoperative stage I-III breast cancer....
Advanced diffusion-weighted imaging of invasive tumor front for identification of macrotrabecular-massive hepatocellular carcinoma: a proof-of-concept study [0.03%]
用于识别巨块型肝细胞癌的侵袭性肿瘤前沿的高级扩散加权成像：概念验证研究
Qianyun Liu,Zhimin Yan,Da Li et al.
Qianyun Liu et al.
Objective: To evaluate the performance of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) in identifying the macrotrabecular-massive (MTM) subtype of hepatocellular carcinoma (HCC). ...
Deep learning model integrating contrast-enhanced ultrasound spatiotemporal imaging with clinical data for the differential diagnosis between hepatocellular carcinoma and intrahepatic cholangiocarcinoma [0.03%]
结合临床数据的对比增强超声时空影像的深度学习模型用于肝细胞癌和肝内胆管癌鉴别诊断
Wei Li,Zhong Liu,Meiqing Cheng et al.
Wei Li et al.
Purpose: This study aimed to develop a deep learning model, capable of extracting both spatial and temporal features from contrast-enhanced ultrasound (CEUS) data and integrating with patient clinical parameters, for the ...
CT acquisition protocols by pathology, SIRM position paper part 2 (Abdominal and Oncologic Imaging, Urology, Paediatric) [0.03%]
SIRM立场文件第二部分：按疾病类型划分的CT扫描方案（腹部及肿瘤成像、泌尿系统、儿科）
Ernesto Di Cesare,Giorgio Ascenti,Salvatore Cappabianca et al.
Ernesto Di Cesare et al.
Computed tomography (CT) is one of the most widely used diagnostic imaging modalities and currently represents the leading source of radiation exposure in the general population. Consequently, regulatory measures have been introduced to red...
Integrated radiomics and machine learning approach for ras mutation status prediction in colorectal liver metastases [0.03%]
基于影像组学和机器学习结合的ras基因突变状态预测方法研究转移性结直肠癌肝转移患者 Ras 状态预测的集成影像组学和机器学习的新方法
Vincenza Granata,Roberta Fusco,Sergio Venanzio Setola et al.
Vincenza Granata et al.
Background: RAS mutational status is a critical prognostic biomarker in colorectal liver metastases (CRLM), traditionally assessed via tissue biopsy. This study evaluates the potential of radiomic features extracted from ...
Early post-operative NI-RADS predicts recurrence and survival in high-risk oral cavity squamous cell carcinoma undergoing adjuvant radiotherapy [0.03%]
早期术后NI-RADS可预测接受辅助放疗的高危口腔鳞癌患者复发和生存情况
Mariangela Massaccesi,Marco Panfili,Rosalinda Calandrelli et al.
Mariangela Massaccesi et al.
Purpose: To evaluate the prognostic value of the Neck Imaging Reporting and Data Systems (NI-RADS) in early post-operative imaging for predicting recurrence and survival outcomes in high-risk oral cavity squamous cell car...
Optimizing diagnostic outcomes and sustainability in radiological practices: a multicentric study on guideline adherence and incidental findings in elective chest CT scans [0.03%]
关于放射学实践中的诊断结果和可持续性优化的多中心研究：基于选择性胸部CT扫描的指南依从性和意外发现的研究
Jacopo D&#x;Argenzio,Andrea Esposito,Jacopo Pozzi et al.
Jacopo D&#x;Argenzio et al.
Purpose: This multicentric retrospective study aimed to evaluate the diagnostic outcomes, adherence to guideline-based recommendations, and sustainability implications of 280 initial chest CT scans performed without contr...