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Repeatability of quantitative MR fingerprinting for T1 and T2 measurements of metastatic bone in prostate cancer patients
Repeatability of quantitative MR fingerprinting for T1 and T2 measurements of metastatic bone in prostate cancer patients
MR fingerprinting (MRF) has the potential to quantify treatment response. This study evaluated the repeatability of MRF-de...
Node-RADS: a systematic review and meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability
Node-RADS: a systematic review and meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability
To perform a systematic review and meta-analysis to estimate diagnostic performance, category-wise malignancy rates, and i...
Inter-reader agreement of the BI-RADS CEM lexicon
Inter-reader agreement of the BI-RADS CEM lexicon
The purpose of this study was to assess the inter-reader agreement of the breast imaging reporting and data system (BI-RAD...
Spondylodiscitis of the thoraco-lumbar spine: diagnostic performance of dual-energy CT vs MRI
Spondylodiscitis of the thoraco-lumbar spine: diagnostic performance of dual-energy CT vs MRI
Dual-energy computed tomography (DECT) could combine the high-resolution bone window images made available by multi-detect...
CT feature of irregular extensive ulceration as a predictor of liver metastasis in gastric gastrointestinal stromal tumours
CT feature of irregular extensive ulceration as a predictor of liver metastasis in gastric gastrointestinal stromal tumours
This study aimed to investigate whether the computed tomography (CT) finding of irregular extensive ulceration (IEU) can s...
Unbiased and reproducible liver MRI-PDFF estimation using a scan protocol-informed deep learning method
Unbiased and reproducible liver MRI-PDFF estimation using a scan protocol-informed deep learning method
To estimate proton density fat fraction (PDFF) from chemical shift encoded (CSE) MR images using a deep learning (DL)-base...
A critical comparative study of the performance of three AI-assisted programs for bone age determination
A critical comparative study of the performance of three AI-assisted programs for bone age determination
To date, AI-supported programs for bone age (BA) determination for medical use in Europe have almost only been validated s...
Imaging of peritoneal metastases of ovarian and colorectal cancer: joint recommendations of ESGAR, ESUR, PSOGI, and EANM
Imaging of peritoneal metastases of ovarian and colorectal cancer: joint recommendations of ESGAR, ESUR, PSOGI, and EANM
Diagnostic imaging of peritoneal metastases in ovarian and colorectal cancer remains pivotal in selecting the most appropr...
Feasibility, efficacy, and safety of core needle biopsy as a first-line method for cervical lymphadenopathy
Feasibility, efficacy, and safety of core needle biopsy as a first-line method for cervical lymphadenopathy
This study aimed to determine the feasibility, diagnostic efficacy, and safety of ultrasound-guided core needle biopsy (CN...
Automated AI-based coronary calcium scoring using retrospective CT data from SCAPIS is accurate and correlates with expert scoring
Automated AI-based coronary calcium scoring using retrospective CT data from SCAPIS is accurate and correlates with expert scoring
Evaluation of the correlation and agreement between AI and semi-automatic evaluations of calcium scoring CT (CSCT) examina...
Longitudinal evaluation of pediatric and young adult metabolic dysfunction-associated steatotic liver disease defined by MR elastography
Longitudinal evaluation of pediatric and young adult metabolic dysfunction-associated steatotic liver disease defined by MR elastography
To inform clinical monitoring of children and young adults with metabolic dysfunction-associated steatotic liver disease (...
Large language models for structured reporting in radiology: past, present, and future
Large language models for structured reporting in radiology: past, present, and future
Structured reporting (SR) has long been a goal in radiology to standardize and improve the quality of radiology reports. D...
Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance
Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance
To compare standard-resolution balanced steady-state free precession (bSSFP) cine images with cine images acquired at low ...
Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation
Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation
ChatGPT-4 Vision (GPT-4V) is a state-of-the-art multimodal large language model (LLM) that may be queried using images. We...
MRI deep learning models for assisted diagnosis of knee pathologies: a systematic review
MRI deep learning models for assisted diagnosis of knee pathologies: a systematic review
Despite showing encouraging outcomes, the precision of deep learning (DL) models using different convolutional neural netw...
Exploring the changing landscape of medical imaging: insights from highly cited studies before and during the COVID-19 pandemic
Exploring the changing landscape of medical imaging: insights from highly cited studies before and during the COVID-19 pandemic
To investigate whether and how the COVID-19 pandemic has changed medical imaging trends by synthesizing the highly cited s...
The pericoronary adipose tissue attenuation in CT strongly depends on kernels and iterative reconstructions
The pericoronary adipose tissue attenuation in CT strongly depends on kernels and iterative reconstructions
To investigate the influence of kernels and iterative reconstructions on pericoronary adipose tissue (PCAT) attenuation in...
Substituting with alternative iodinated contrast medium to prevent recurrent adverse drug reactions associated with its use: a meta-analysis
Substituting with alternative iodinated contrast medium to prevent recurrent adverse drug reactions associated with its use: a meta-analysis
To systematically review and meta-analyze the recurrent rate of iodinated contrast medium (ICM)-associated adverse drug re...
Preoperative prediction of diffuse glioma type and grade in adults: a gadolinium-free MRI-based decision tree
Preoperative prediction of diffuse glioma type and grade in adults: a gadolinium-free MRI-based decision tree
To develop a gadolinium-free MRI-based diagnosis prediction decision tree (DPDT) for adult-type diffuse gliomas and to ass...
Relationship between microvascular status and diagnostic performance of stress dynamic CT perfusion imaging
Relationship between microvascular status and diagnostic performance of stress dynamic CT perfusion imaging
This study aimed to investigate the relationship between microvascular status in the non-ischemic myocardium and the diagn...
ChatGPT as an effective tool for quality evaluation of radiomics research
ChatGPT as an effective tool for quality evaluation of radiomics research
This study aimed to evaluate the effectiveness of ChatGPT-4o in assessing the methodological quality of radiomics research...
Follow-up analysis of lesion characteristics of enchondromas and atypical cartilaginous tumours of the knee and shoulder region on MRI
Follow-up analysis of lesion characteristics of enchondromas and atypical cartilaginous tumours of the knee and shoulder region on MRI
Enchondromas (ECs) and atypical cartilaginous tumours (ACTs), respectively, represent benign and intermediate cartilaginou...
Reference formulas for chest CT-derived lobar volumes in the lung-healthy general population
Reference formulas for chest CT-derived lobar volumes in the lung-healthy general population
Lung hyperinflation, a key contributor to dyspnea in chronic obstructive pulmonary disease (COPD), can be quantified via c...