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Quantitative PCCT imaging in differentiating adrenal adenomas from metastases: diagnostic performance and its clinical applications
Quantitative PCCT imaging in differentiating adrenal adenomas from metastases: diagnostic performance and its clinical applications
To evaluate the potential of Photon counting CT (PCCT) -derived iodine densities and Virtual-Non-Contrast (VNC) reconstruc...
Research-based clinical deployment of artificial intelligence algorithm for prostate MRI
Research-based clinical deployment of artificial intelligence algorithm for prostate MRI
A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorithms in radiology practice is th...
Case of simultaneous occurrence of hepatitis, cholangitis, and pancreatitis as immune-related adverse events induced by immune checkpoint inhibitor therapy: a case report
Case of simultaneous occurrence of hepatitis, cholangitis, and pancreatitis as immune-related adverse events induced by immune checkpoint inhibitor therapy: a case report
The use of immune checkpoint inhibitors has increased in the field of oncology; however, various immune-related adverse ev...
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...
CT colonography for assessing visceral obesity: clinical utility beyond colorectal screening
CT colonography for assessing visceral obesity: clinical utility beyond colorectal screening
Visceral obesity is a significant health risk, and the visceral fat area (VFA) measured on CT is a reliable indicator. The...
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...
MKNet-family architectures for auto-segmentation of the residual pancreas after pancreatic resection: a deep learning comparative study
MKNet-family architectures for auto-segmentation of the residual pancreas after pancreatic resection: a deep learning comparative study
Accurate interpretation of CT scans after pancreatic resection is crucial for detecting abnormalities, including postopera...
Appendicolith detection in dual-energy CT of adult acute appendicitis: comparing portovenous phase and virtual noncontrast with true noncontrast images
Appendicolith detection in dual-energy CT of adult acute appendicitis: comparing portovenous phase and virtual noncontrast with true noncontrast images
Appendicoliths are associated with failed nonoperative management in acute appendicitis and are used to exclude patients f...
Imaging of endometriosis-related infertility
Imaging of endometriosis-related infertility
Endometriosis is a common cause of subfertility and infertility through myriad mechanisms. Imaging of endometriosis is cri...
Surgery-confirmed internal hernia with or without Roux-en-Y anastomosis: diagnostic performance of six CT signs
Surgery-confirmed internal hernia with or without Roux-en-Y anastomosis: diagnostic performance of six CT signs
To assess the diagnostic performance and generalizability of established CT signs of internal hernias across a broad patie...
Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma
Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma
The tumor microenvironment (TME) of hepatocellular carcinoma (HCC) has garnered significant attention, especially with the...
Development of a model combining CEUS LI-RADS and clinical features for predicting glypican-3 expression in hepatocellular carcinoma
Development of a model combining CEUS LI-RADS and clinical features for predicting glypican-3 expression in hepatocellular carcinoma
To establish a predictive model incorporating clinical features and contrast-enhanced ultrasound (CEUS) liver Imaging Repo...
Comparison of different machine learning methods in the prediction of early recurrence in HCC patients with Gd-EOB-DTPA-MRI
Comparison of different machine learning methods in the prediction of early recurrence in HCC patients with Gd-EOB-DTPA-MRI
To develop machine learning models that are driven by Gd-EOB-DTPA-MRI features for the preoperative prediction of early re...
A case of plasmacytoid urothelial carcinoma with characteristic radiological findings
A case of plasmacytoid urothelial carcinoma with characteristic radiological findings
Plasmacytoid urothelial carcinoma (PUC) is a rare and an aggressive subtype of invasive urothelial carcinoma, often diagno...
The nVR model: prediction of LI-RADS treatment response nonviable recurrence of hepatocellular carcinoma after primary transarterial chemoembolization
The nVR model: prediction of LI-RADS treatment response nonviable recurrence of hepatocellular carcinoma after primary transarterial chemoembolization
This study aims to build a prediction model based on MRI features and clinical characteristics for early tumor recurrence ...
Differentiating uterine adenosarcoma from endometrial polyps: MRI imaging features
Differentiating uterine adenosarcoma from endometrial polyps: MRI imaging features
This study was conducted to identify MRI features distinguishing uterine adenosarcoma from endometrial polyps and to predi...
Biological characteristics prediction of endometrial cancer based on deep convolutional neural network and multiparametric MRI radiomics
Biological characteristics prediction of endometrial cancer based on deep convolutional neural network and multiparametric MRI radiomics
The exploration of deep learning techniques for predicting various biological characteristics of endometrial cancer (EC) i...
Non-contrast cine magnetic resonance urography in evaluating and monitoring of primary obstructive megaureter: a case series study
Non-contrast cine magnetic resonance urography in evaluating and monitoring of primary obstructive megaureter: a case series study
To evaluate the feasibility and usefulness of cine magnetic resonance urography (MRU) as a novel examination for primary o...
Novel ultrasound scoring system to guide cognitive fusion-targeted biopsy: a prospective study
Novel ultrasound scoring system to guide cognitive fusion-targeted biopsy: a prospective study
To develop and validate a novel ultrasound scoring system (USS) for assisting cognitive fusion-targeted biopsy (cTB). We p...
Development and validation of ADC-based nomogram model for predicting the prognostic factors in preoperative clinical early-stage cervical cancer patients
Development and validation of ADC-based nomogram model for predicting the prognostic factors in preoperative clinical early-stage cervical cancer patients
To investigate the feasibility of ADC-based nomogram models for predicting cervical cancer (CC) subtype, lymphovascular sp...
Quantitative MRI radiomics approach for evaluating muscular alteration in Crohn disease: development of a machine learning-nomogram composite diagnostic tool
Quantitative MRI radiomics approach for evaluating muscular alteration in Crohn disease: development of a machine learning-nomogram composite diagnostic tool
Emerging evidence underscores smooth muscle hyperplasia and hypertrophy, rather than fibrosis, as the defining characteris...
Endometriosis: a journey from infertility to fertility
Endometriosis: a journey from infertility to fertility
Endometriosis, a chronic and multifocal inflammatory condition with a substantial estrogen-dependent component, is often l...
Advancing endometriosis detection in daily practice: a deep learning-enhanced multi-sequence MRI analytical model
Advancing endometriosis detection in daily practice: a deep learning-enhanced multi-sequence MRI analytical model
Endometriosis affects 5–10% of women of reproductive age. Despite its prevalence, diagnosing endometriosis through i...
Assessment of endometrial cancer with microcystic, elongated, and fragmented pattern invasion using multiparametric MRI
Assessment of endometrial cancer with microcystic, elongated, and fragmented pattern invasion using multiparametric MRI
To assess the MRI findings of endometrial cancer with microcystic, elongated, and fragmented (MELF) pattern invasion and t...
Accuracy, repeatability, reproducibility and reference ranges of primary sclerosing cholangitis specific biomarkers from quantitative MRCP
Accuracy, repeatability, reproducibility and reference ranges of primary sclerosing cholangitis specific biomarkers from quantitative MRCP
To assess the repeatability and reproducibility of quantitative MRCP-derived metrics generated from MRCP + sof...
DWI of the rectum with deep learning reconstruction: comparison of PROPELLER, reduced FOV, and conventional DWI.
DWI of the rectum with deep learning reconstruction: comparison of PROPELLER, reduced FOV, and conventional DWI.
To compare the image quality and diagnostic performance of periodically rotated overlapping parallel lines with enhanced r...
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...
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