SCI Abstract

search
Ultrasound cystic artery velocity as a predictor for acute cholecystitis in patients presenting to the emergency department
Ultrasound cystic artery velocity as a predictor for acute cholecystitis in patients presenting to the emergency department
Acute cholecystitis (AC) is a common yet challenging diagnosis in the emergency department (ED), with diverse sonographic ...
T2 bright, clinically dim: pheochromocytoma with malignant potential and an atypical clinical presentation
T2 bright, clinically dim: pheochromocytoma with malignant potential and an atypical clinical presentation
Pheochromocytomas are uncommon adrenal tumors originating from chromaffin cells, with certain cases exhibiting malignant c...
Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI
Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI
Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T1 weighted imaging (WI) Dynamic C...
Hydrogel injection outside of prostate radiation: an overview
Hydrogel injection outside of prostate radiation: an overview
As radiotherapy has evolved and improved, it has become possible to apply higher doses of radiation more safely. However, ...
Artificial intelligence-driven CT radiomics model predicts prognosis in TACE-refractory hepatocellular carcinoma
Artificial intelligence-driven CT radiomics model predicts prognosis in TACE-refractory hepatocellular carcinoma
To develop an integrated predictive model combining radiomics, clinical risk factors, and machine learning for prognostic ...
Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT
Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT
The performance of fully automated deep learning-based models for the detection and segmentation of lymph nodes (LNs) on f...
Segmental fECV measurement using PCD-CT as an early predictor of liver function decline in chronic liver disease
Segmental fECV measurement using PCD-CT as an early predictor of liver function decline in chronic liver disease
The aim of this study was to investigate the utility of segmental hepatic extracellular volume fractions (fECV) calculated...
Magnetic resonance fingerprinting of the bladder is feasible in men with lower urinary tract symptoms
Magnetic resonance fingerprinting of the bladder is feasible in men with lower urinary tract symptoms
To quantify bladder wall relaxation times in men without and with lower urinary tract symptoms (LUTS) using three-dimensio...
Imaging review of aortic fistulas
Imaging review of aortic fistulas
Aortic fistulas represent rare but life-threatening communications between the aorta and the adjacent structures, most com...
MRCP surveillance of low-risk branch-duct IPMNs: longitudinal size changes and clinical outcomes in a real-world cohort
MRCP surveillance of low-risk branch-duct IPMNs: longitudinal size changes and clinical outcomes in a real-world cohort
To evaluate cyst growth patterns, interval radiological changes, and clinical outcomes in patients with low-risk branch-du...
Integrated serum metabolomics and MRI biomarkers for MASLD: a practical framework for noninvasive staging and monitoring
Integrated serum metabolomics and MRI biomarkers for MASLD: a practical framework for noninvasive staging and monitoring
Metabolic dysfunction-associated steatotic liver disease (MASLD) affects nearly one in four adults globally, yet early dia...
Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis
Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis
Conventional clinical scoring systems and contrast-enhanced computed tomography (CECT) interpretation provide limited accu...
Liver regeneration after living donor liver transplantation (LDLT)
Liver regeneration after living donor liver transplantation (LDLT)
Purpose We aim to identify possible factors affecting liver regeneration in donors, liver graft hypertrophy and spleen shr...
Super-resolution deep learning reconstruction improves the depiction of peripancreatic arteries and image quality in pancreatic cancer CT
Super-resolution deep learning reconstruction improves the depiction of peripancreatic arteries and image quality in pancreatic cancer CT
Accurate identification of peripancreatic arteries in pancreatic ductal adenocarcinoma (PDAC) is essential for determining...
MRI characteristics and oncological follow-up of patients with ISUP grade group 4 or 5 prostate cancer
MRI characteristics and oncological follow-up of patients with ISUP grade group 4 or 5 prostate cancer
To analyze multiparametric MRI (mpMRI) characteristics of patients with International Society of Urological Pathology (ISU...
Application of ultrasound-guided percutaneous nephrostomy in the treatment of a solitary kidney with hydronephrosis due to renal tuberculosis
Application of ultrasound-guided percutaneous nephrostomy in the treatment of a solitary kidney with hydronephrosis due to renal tuberculosis
To investigate the value of ultrasound-guided percutaneous nephrostomy and nephrostomy tube replacement for treating a sol...
Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case
Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case
To investigate the epidemiology and distribution of disease characteristics of urolithiasis by data mining structured radi...
Construction of a nomogram model for predicting peritoneal metastasis in gastric cancer: focused on cardiophrenic angle lymph node features
Construction of a nomogram model for predicting peritoneal metastasis in gastric cancer: focused on cardiophrenic angle lymph node features
A different treatment was used when peritoneal metastases (PM) occurred in patients with gastric cancer (GC). Certain canc...
Nomogram based on MRI for preoperative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma
Nomogram based on MRI for preoperative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma
To validate a new nomogram based on magnetic resonance imaging (MRI) for pre-operative prediction of Ki-67 expression in p...
Automated detection of IVC filters on radiographs with deep convolutional neural networks
Automated detection of IVC filters on radiographs with deep convolutional neural networks
To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being use...