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European Journal of Radiology Open
Scopus
ISSN 2352-0477 · Elsevier · 695 articles in the index
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Journal Article
Feasibility of single-phase DECT as an alternative to triple-phase CT for imaging-defined risk factors assessment in neuroblastoma for dose reduction
Objective: To investigate the feasibility of evaluating Imaging-Defined Risk Factors (IDRFs) in Neuroblastoma (NB) patients using venous-phase (VP)-only images in dual-energy CT for radiation dose reduction and examination workflow optimization, compared with conventional triple-phase CECT…
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Journal Article
Diagnostic performance of coronary CTA versus exercise electrocardiography in acute chest pain: A propensity score-matched study in the emergency department
Purpose: To compare the clinical impact and operational efficiency of exercise electrocardiography (ex-ECG) and coronary CT angiography (CCTA) in the diagnostic-therapeutic care pathway of patients presenting to the Emergency Department (ED) with acute chest pain (ACP) and suspected…
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Journal Article
Dual-parameter risk stratification based on device landing zone calcification and aortic annular perimeter for paravalvular regurgitation after self-expanding TAVR
Purpose: The study aimed to identify independent predictors associated with paravalvular regurgitation (PVR) after self-expanding transcatheter aortic valve replacement (SE-TAVR) and to develop a dual-parameter risk stratification model. Methods: This retrospective study enrolled 292 severe aortic…
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Journal Article
Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets
Introduction: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ultrasound-based risk stratification systems such as EU-TIRADS have shown reasonable sensitivity and specificity. Therefore, we conducted a systematic review and meta-analysis to assess the diagnostic…
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Journal Article
Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas
Purpose: To determine the best technique for acquiring fat-suppressed T2-weighted images (FS-T2WI) of the pancreas, in terms of acquisition time and image quality, among conventional respiratory-gated turbo spin echo (RG-TSE), research breath-hold TSE with deep learning-based reconstruction…
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Journal Article
Convolutional neural networks for prostate cancer detection, classification, and segmentation: A systematic review and bibliometric analysis
Background: Prostate cancer represents the second most common malignancy among men globally, necessitating accurate diagnostic methodologies for optimal patient outcomes. Convolutional neural networks (CNNs), a core deep learning methodology, have emerged as transformative technologies for…
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Journal Article
Predicting treatment response to neoadjuvant chemotherapy in locally advanced rectal cancer: A combined deep learning and machine learning approach utilizing longitudinal multi-sequence MRI
Purpose: To develop and validate deep leaning-based machine learning models using longitudinal multi-sequence MRI for predicting treatment response of patients with locally advanced rectal cancer (LARC) to neoadjuvant chemotherapy (NCT). Methods: This retrospective study included 169 LARC patients…
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Journal Article
Standardized contrast-enhanced CT-based radiomics for non-invasive prediction of TTF-1 status in lung adenocarcinoma: A cross-validated single-center study
Objective: Thyroid transcription factor-1 (TTF-1) is a clinically relevant immunohistochemical marker in lung adenocarcinoma with diagnostic, prognostic, and therapeutic implications. As tissue sampling is invasive and often limited by small biopsy specimens, non-invasive imaging biomarkers are of…
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Journal Article
Contrast-enhanced mammography in the preoperative assessment of primary operable breast cancer: Results from a prospective, two-centre study
Purpose: To evaluate the performance of contrast-enhanced mammography (CEM) in the preoperative assessment of patients with primary operable breast cancer and in the detection of multifocal or multicentric carcinoma (MFMCC). Secondary aims were to determine the added value of recombined images…
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Journal Article
Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstruction
Purpose: To evaluate the benefits of combining the Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction (PROPELLER) acquisition technique and deep learningbased reconstruction (DLR) for fat-suppressed T2-weighted imaging (Fs-T2WI) and diffusion-weighted imaging (DWI) in…
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Journal Article
Classifying diagnostic pitfalls in juxtapleural CT lesions: A root cause
Objectives: To develop and assess the feasibility of a root-cause analysis (RCA) framework for classifying diagnostic pitfalls in the computed tomography (CT) interpretation of juxtapleural lesions. Methods: This single-center, retrospective, exploratory taxonomy-development study was approved by…
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Journal Article
MRI-based radiomics analysis and machine learning in the differentiation of endometriomas from hemorrhagic ovarian cysts
Purpose: Endometriomas and hemorrhagic ovarian cysts (HOCs) are common benign ovarian lesions in reproductive-aged women. Their management differs substantially, and classic MRI signs, such as T1 hyperintensity and T2 shading, might overlap or introduce uncertainty. Therefore, we investigated the…
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Journal Article
Performance of MRI-based deep learning models in differentiation of triple negative breast cancer from other breast cancer subtypes: A systematic review and meta-analysis
Background and aim: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited targeted therapies. Deep learning (DL) applied to magnetic resonance imaging (MRI) offers a promising noninvasive alternative to biopsy. This systematic review and meta‑analysis aimed to…
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Journal Article
Assessing the clinical applicability of large language models for microwave ablation guidance
Purpose: To evaluate the performance of five language models (LLMs)—ChatGPT, Gemini, Meta, Claude, and DeepSeek—in providing clinically relevant advice on microwave ablation (MWA), a minimally invasive therapy for tumor treatment. Methods: A total of 27 standardized questions covering seven…
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Journal Article
Artificial intelligence for pulmonary embolism detection: Is it comparable to radiology residents?
Purpose: To assess the diagnostic performance of a commercial artificial intelligence (AI) software in detecting pulmonary embolism (PE) in emergency settings, compared with on-call radiology residents. Methods: All consecutive emergency CT pulmonary angiographies (CTPA) performed over a 3-month…
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Journal Article
Clinical and radiologic predictors of one-year surgical outcomes in Crohn’s disease–related intra-abdominal abscesses
Purpose: To identify clinical and radiological prognostic factors associated with delayed surgery after diagnosis of a Crohn’s disease-related intra-abdominal abscess. Methods: We conducted a retrospective single-center study including patients with Crohn’s disease and confirmed intra-abdominal…
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Journal Article
Development and validation of a fully automated transformer-based 3D framework for pancreatic fat quantification in pancreatic steatosis
Purpose: To develop and validate a fully automated TransUNet-based framework for 3D pancreatic segmentation and volumetric fat quantification on PDFF MRI. Specifically, to evaluate the model's performance against state-of-the-art CNN architectures and assess its clinical reproducibility compared to…
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Journal Article
Contemporary 0.55 T MRI to visualize interstitial lung disease – An exploratory study
Purpose: To evaluate the feasibility of contemporary 0.55 T MRI for visualizing interstitial lung disease (ILD) compared to high-resolution computed tomography (HRCT) in an exploratory first-experience study. Materials and methods: Thirty participants (mean age 60 ± 13 years; 13 females) with…
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Journal Article
A biology-informed radiomics model for prognostication of hepatocellular carcinoma based on AKR1B10 expression
Background: Current radiomic models for hepatocellular carcinoma (HCC) prognosis rely on direct correlations between imaging features and clinical outcomes, resulting in limited biological interpretability and restricted clinical applicability. This study explores a novel biology-driven radiomic…
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Journal Article
The value of modified time-of-flight magnetic resonance venography in evaluating anatomical variations of the internal iliac vein
Objective: To investigate the feasibility of using modified time-of-flight magnetic resonance venography (mTOF-MRV) to evaluate the anatomical variations of the internal iliac vein (IIV). Methods: This retrospective study included 158 patients suspected of iliac vein compression syndrome (IVCS) who…