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Benign and malignant focal liver lesions displaying rim arterial phase hyperenhancement on CT and MRI
Benign and malignant focal liver lesions displaying rim arterial phase hyperenhancement on CT and MRI
Rim arterial phase hyperenhancement is an imaging feature commonly encountered on contrast-enhanced CT and MRI in focal li...
MR radiomics to predict microvascular invasion status and biological process in combined hepatocellular carcinoma-cholangiocarcinoma
MR radiomics to predict microvascular invasion status and biological process in combined hepatocellular carcinoma-cholangiocarcinoma
To establish an MRI-based radiomics model for predicting the microvascular invasion (MVI) status of cHCC-CCA and to invest...
Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation
Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation
To develop and validate a dual-energy CT (DECT)-based model for noninvasively differentiating between benign and malignant...
Effect of spin-lock frequency on quantitative myocardial T1ρ mapping
Effect of spin-lock frequency on quantitative myocardial T1ρ mapping
To use T1ρ mapping to assess myocardial fibrosis and to provide a reference for future clinical application, it is ne...
Predictors and pathways of in-hospital mortality in active vascular contrast extravasation detected on abdominopelvic CT
Predictors and pathways of in-hospital mortality in active vascular contrast extravasation detected on abdominopelvic CT
This study aimed to identify factors influencing in-hospital mortality in adult patients with active vascular contrast ext...
Radiomics predict the WHO/ISUP nuclear grade and survival in clear cell renal cell carcinoma
Radiomics predict the WHO/ISUP nuclear grade and survival in clear cell renal cell carcinoma
This study aimed to assess the predictive value of radiomics derived from intratumoral and peritumoral regions and to deve...
A feasibility study of in vivo quantitative ultra-short echo time-MRI for detecting early cartilage degeneration
A feasibility study of in vivo quantitative ultra-short echo time-MRI for detecting early cartilage degeneration
To explore the feasibility of Ultra-short echo time (UTE) – MRI quantitative imaging in detecting early cartilage de...
Fully automated assessment of the future liver remnant in a blood-free setting via CT before major hepatectomy via deep learning
Fully automated assessment of the future liver remnant in a blood-free setting via CT before major hepatectomy via deep learning
To develop and validate a deep learning (DL) model for automated segmentation of hepatic and portal veins, and apply the m...
PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma
PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma
The clinical decision-making regarding choosing surgery alone (SA) or surgery followed by postoperative adjuvant chemother...
Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis
Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis
This systematic review and meta-analysis aimed to assess the stroke detection performance of artificial intelligence (AI) ...
Quantitative US fat fraction for noninvasive assessment of hepatic steatosis in suspected metabolic-associated fatty liver disease
Quantitative US fat fraction for noninvasive assessment of hepatic steatosis in suspected metabolic-associated fatty liver disease
To evaluate the agreement between quantitative ultrasound system fat fraction (USFF) and proton magnetic resonance spectro...
Radiomics models of contrast-enhanced computed tomography for predicting the activity and prognosis of acute pancreatitis
Radiomics models of contrast-enhanced computed tomography for predicting the activity and prognosis of acute pancreatitis
The modified pancreatitis activity scoring system (mPASS) was proposed to assess the activity of acute pancreatitis (AP) w...
CT imaging post-TAVI: Murphy’s first law in action—preparing to recognize the unexpected
CT imaging post-TAVI: Murphy’s first law in action—preparing to recognize the unexpected
Transfemoral aortic valve implantation (TAVI) has been long considered the standard of therapy for high-risk patients with...
Porta hepatis lymph nodes on US: not only identify biliary atresia but also predict outcomes after Kasai portoenterostomy surgery
Porta hepatis lymph nodes on US: not only identify biliary atresia but also predict outcomes after Kasai portoenterostomy surgery
To evaluate the usefulness of porta hepatis lymph nodes (PHLNs) on ultrasonography (US) scans in diagnosing biliary atresi...
Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
Radiomics has been demonstrated to be strongly associated with TNM stage and patient prognosis. We aimed to develop a mode...
MRI of total hip arthroplasty: technical aspects and imaging findings
MRI of total hip arthroplasty: technical aspects and imaging findings
Total hip arthroplasty (THA) is the best surgical approach for treating advanced hip degeneration, providing pain relief, ...
A radiomics-boosted deep-learning for risk assessment of synchronous peritoneal metastasis in colorectal cancer
A radiomics-boosted deep-learning for risk assessment of synchronous peritoneal metastasis in colorectal cancer
Synchronous colorectal cancer peritoneal metastasis (CRPM) has a poor prognosis. This study aimed to create a radiomics-bo...
Bi-regional dynamic contrast-enhanced MRI for prediction of microvascular invasion in solitary BCLC stage A hepatocellular carcinoma
Bi-regional dynamic contrast-enhanced MRI for prediction of microvascular invasion in solitary BCLC stage A hepatocellular carcinoma
To construct a combined model based on bi-regional quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-...
Automatic grading of knee osteoarthritis with a plain radiograph radiomics model: combining anteroposterior and lateral images
Automatic grading of knee osteoarthritis with a plain radiograph radiomics model: combining anteroposterior and lateral images
To establish a radiomics-based automatic grading model for knee osteoarthritis (OA) and evaluate the influence of differen...
Qualitative and quantitative MRI analysis of alveolar soft part sarcoma: correlation with histological grade and Ki-67 expression
Qualitative and quantitative MRI analysis of alveolar soft part sarcoma: correlation with histological grade and Ki-67 expression
To investigate the correlation between MRI findings and histological features for preoperative prediction of histological ...
Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease
Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease
The efficacy of levodopa, the most crucial metric for Parkinson’s disease diagnosis and treatment, is traditionally ...
Non-Gaussian diffusion metrics with whole-tumor histogram analysis for bladder cancer diagnosis: muscle invasion and histological grade
Non-Gaussian diffusion metrics with whole-tumor histogram analysis for bladder cancer diagnosis: muscle invasion and histological grade
To investigate the performance of histogram features of non-Gaussian diffusion metrics for diagnosing muscle invasion and ...
Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion
Reduced field-of-view DWI based on deep learning reconstruction improving diagnostic accuracy of VI-RADS for evaluating muscle invasion
To investigate whether reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) with deep learning reconstruction (DL...
The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer
The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer
To investigate the diagnostic performance of the apparent diffusion coefficient (ADC) for low to intermediate-risk prostat...