SCI时时刷

search
+
The value of restriction spectrum imaging in predicting lymph node metastases in rectal cancer: a comparative study with diffusion-weighted imaging and diffusion kurtosis imaging
The value of restriction spectrum imaging in predicting lymph node metastases in rectal cancer: a comparative study with diffusion-weighted imaging and diffusion kurtosis imaging
To investigate the efficacy of three-compartment restriction spectrum imaging (RSI), diffusion kurtosis imaging (DKI), and...
How can effective communication help radiographers meet the expectations of patients—COMMUNICATION—a joint statement by the ESR & EFRS
How can effective communication help radiographers meet the expectations of patients—COMMUNICATION—a joint statement by the ESR & EFRS
The Patient Advisory Group (PAG) of the European Society of Radiology, in collaboration with the European Federation of Ra...
Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
Recently, epicardial adipose tissue (EAT) assessed by CT was identified as an independent mortality predictor in patients ...
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
Radical prostatectomy (RP) is a common intervention in patients with localized prostate cancer (PCa), with nerve-sparing R...
The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis
The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis
Artificial intelligence (AI) in radiology is a rapidly evolving field. In breast imaging, AI has already been applied in a...
Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
To develop and externally validate a fully automated diagnostic convolutional neural network (CNN) model for cirrhosis bas...
CT imaging findings of invasive pulmonary fungal infections in hemato-oncologic children
CT imaging findings of invasive pulmonary fungal infections in hemato-oncologic children
Hemato-oncologic children form a heterogeneous group with a wide spectrum of ages, malignancy types, and immunosuppression...
Pediatric menisci: normal aspects, anatomical variants, lesions, tears, and postsurgical findings
Pediatric menisci: normal aspects, anatomical variants, lesions, tears, and postsurgical findings
The reported incidence of meniscal tears in the pediatric age group has increased because of increased sports participatio...
A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study
A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study
To develop a multi-scene model that can automatically segment acute vertebral compression fractures (VCFs) from spine radi...
MRI analysis of relative tumor enhancement in liver metastases and correlation with immunohistochemical features
MRI analysis of relative tumor enhancement in liver metastases and correlation with immunohistochemical features
Investigate the association between the relative tumor enhancement (RTE) of gadoxetic acid across various MRI phases and i...
Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma
Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma
To develop and validate a model integrating dual-layer detector spectral computed tomography (DLCT) three-dimensional (3D)...
Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique
Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique
To explore the diagnostic efficacy of advanced intelligent clear-IQ engine (AiCE) and adaptive iterative dose reduction 3D...
Non-metastatic causes of multiple pulmonary nodules
Non-metastatic causes of multiple pulmonary nodules
Various processes, including benign or malignant (mostly metastasis) processes, contribute to the occurrence of multiple p...
Impact of uncertainty quantification through conformal prediction on volume assessment from deep learning-based MRI prostate segmentation
Impact of uncertainty quantification through conformal prediction on volume assessment from deep learning-based MRI prostate segmentation
To estimate the uncertainty of a deep learning (DL)-based prostate segmentation algorithm through conformal prediction (CP...
Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience
Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience
To implement and evaluate a super-fast and high-quality biparametric MRI (bpMRI) protocol for prostate imaging acquired at...
Contrast-enhanced US Bosniak Classification: intra- and inter-rater agreement, confounding features, and diagnostic performance
Contrast-enhanced US Bosniak Classification: intra- and inter-rater agreement, confounding features, and diagnostic performance
The contrast-enhanced US (CEUS) Bosniak classification, proposed by the European Federation for Ultrasound in Medicine and...
Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy
Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy
To explore the role of radiomics in predicting the prognosis of proximal esophageal cancer and to investigate the biologic...
Impact of hepatic steatosis on liver stiffness measurement by vibration-controlled transient elastography and its diagnostic performance for identifying liver fibrosis in patients with chronic hepatitis B
Impact of hepatic steatosis on liver stiffness measurement by vibration-controlled transient elastography and its diagnostic performance for identifying liver fibrosis in patients with chronic hepatitis B
To explore the impact of hepatic steatosis measured by MRI-proton density fat fraction (MRI-PDFF) on liver stiffness measu...
Intratumoral and peritumoral MRI-based radiomics for predicting extrapelvic peritoneal metastasis in epithelial ovarian cancer
Intratumoral and peritumoral MRI-based radiomics for predicting extrapelvic peritoneal metastasis in epithelial ovarian cancer
To investigate the potential of intratumoral and peritumoral radiomics derived from T2-weighted MRI to preoperatively pred...
Percutaneous cryoablation of abdominal wall endometriosis: a systematic literature review of safety and efficacy
Percutaneous cryoablation of abdominal wall endometriosis: a systematic literature review of safety and efficacy
To investigate over 10 years the safety and efficacy of percutaneous cryoablation for the treatment of abdominal wall endo...
Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study
Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study
To develop a domain-specific large language model (LLM) for LI-RADS v2018 categorization of hepatic observations based on ...
Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA)
Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA)
Total tumor volume (TTV) is associated with overall and recurrence-free survival in patients with colorectal cancer liver ...
Percutaneous cryoablation in soft tissue tumor management: an educational review
Percutaneous cryoablation in soft tissue tumor management: an educational review
Percutaneous cryoablation (PCA), having shown effectiveness in treating liver, lung, prostate, breast, and kidney tumors, ...
Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma
Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma
This study aimed to develop and validate a deep-learning radiomics model using CT, T2, and DWI images for predicting patho...
Value of high frame rate contrast-enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinoma
Value of high frame rate contrast-enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinoma
To investigate the value of vascular morphology on high frame rate contrast-enhanced ultrasound (H-CEUS) and CEUS Li-RADS ...
Predictive value of contrast-enhanced MRI for the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment
Predictive value of contrast-enhanced MRI for the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment
To investigate whether the signal intensity (SI) ratio of residual fibroid (RF) to myometrium using Contrast-Enhanced Magn...
Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research
Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research
Over the past decades, numerous large-scale neuroimaging projects that involved the collection and release of multimodal d...
Estimated diagnostic performance of prostate MRI performed with clinical suspicion of prostate cancer
Estimated diagnostic performance of prostate MRI performed with clinical suspicion of prostate cancer
To assess the diagnostic performance of prostate MRI by estimating the proportion of clinically significant prostate cance...
Roles of MRI evaluation of pelvic recurrence in patients with rectal cancer
Roles of MRI evaluation of pelvic recurrence in patients with rectal cancer
Developments in the multidisciplinary treatment of rectal cancer with advances in preoperative magnetic resonance imaging ...
Glucose chemical exchange saturation transfer MRI for predicting the histological grade of rectal cancer: a comparative study with amide proton transfer-weighted and diffusion-weighted imaging
Glucose chemical exchange saturation transfer MRI for predicting the histological grade of rectal cancer: a comparative study with amide proton transfer-weighted and diffusion-weighted imaging
To evaluate the utility of glucose chemical exchange saturation transfer (glucoCEST) MRI with non-contrast injection in pr...
阅读更多
format_indent_increase