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Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Conduct a systematic review and meta-analysis on the application of the Radiomics Quality Score (RQS). A search was conduc...
Radiological features of desmoid-type fibromatosis: a two-institution retrospective study
Radiological features of desmoid-type fibromatosis: a two-institution retrospective study
To characterize the radiological findings of desmoid-type fibromatosis (DF). This two-institution retrospective study incl...
Impact of lipoprotein (a) on coronary atherosclerosis and plaque progression in patients with type 2 diabetes mellitus
Impact of lipoprotein (a) on coronary atherosclerosis and plaque progression in patients with type 2 diabetes mellitus
To explore the association between baseline Lp (a) levels and high-risk plaques, plaque volume, and plaque progression in ...
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...
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...
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...
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...
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...
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...
Of editorial processes, AI models, and medical literature: the Magnetic Resonance Audiometry experiment
Of editorial processes, AI models, and medical literature: the Magnetic Resonance Audiometry experiment
The potential of artificial intelligence (AI) in the field of medical research is unquestionable. Nevertheless, the scient...
Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach
Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach
This work aimed to derive a machine learning (ML) model for the differentiation between ischemic cardiomyopathy (ICM) and ...
Safety of non-ionic contrast media in CT examinations for out-patients: retrospective multicenter analysis of 473,482 patients
Safety of non-ionic contrast media in CT examinations for out-patients: retrospective multicenter analysis of 473,482 patients
This study aimed to explore the incidence of and potential risk factors for adverse drug reactions (ADRs) after non-ionic ...
Periodontitis: a new territory for MRI
Periodontitis: a new territory for MRI
Guarantor The scientific guarantor of this publication is Kazimierz...
A chapter closes, legacy endures: farewell as Editor in Chief
A chapter closes, legacy endures: farewell as Editor in Chief
Marking the end of a six-year journey as your Editor in Chief, I am filled with a pro...
Perivascular fat attenuation index value and plaque volume increased in non-target lesions of coronary arteries after stenting
Perivascular fat attenuation index value and plaque volume increased in non-target lesions of coronary arteries after stenting
Progression of non-target lesions (NTLs) after stenting has been reported and is associated with the triggering of an infl...
Patient-centered radiology: a roadmap for outpatient imaging
Patient-centered radiology: a roadmap for outpatient imaging
Creating a patient-centered experience is becoming increasingly important for radiology departments around the world. The ...