164 Result(s)
within
Young-** Eun
Neuroradiology
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Article
Subjective BPPV revisited: identification of positional nystagmus with a new maneuver
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Article
Triggered saccadic oscillations: case series and review of the literature
Saccadic oscillations (SOs) mostly occur spontaneously, but can be occasionally triggered by various stimuli. To determine clinical characteristics and underlying mechanisms of triggered SOs, we analyzed the c...
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Article
Open AccessLow-iodine-dose computed tomography coupled with an artificial intelligence-based contrast-boosting technique in children: a retrospective study on comparison with conventional-iodine-dose computed tomography
Low-iodine-dose computed tomography (CT) protocols have emerged to mitigate the risks associated with contrast injection, often resulting in decreased image quality.
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Article
Open AccessShear wave elastography and dispersion imaging for hepatic veno-occlusive disease prediction after pediatric hematopoietic stem cell transplantation: a feasibility study
Non-invasive imaging modalities are warranted for diagnosing and monitoring veno-occlusive disease because early diagnosis and treatment improve the prognosis.
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Article
Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software
To evaluate the improvement of mammography interpretation for novice and experienced radiologists assisted by two commercial AI software.
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Article
A predictive model using MRI and clinicopathologic features for breast cancer recurrence in young women treated with upfront surgery
To identify preoperative breast MR imaging and clinicopathological variables related to recurrence and develop a risk prediction model for recurrence in young women with breast cancer treated with upfront surg...
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Article
Prediction of pseudoprogression in post-treatment glioblastoma using dynamic susceptibility contrast-derived oxygenation and microvascular transit time heterogeneity measures
To evaluate the added value of MR dynamic susceptibility contrast (DSC)-perfusion-weighted imaging (PWI)-derived tumour microvascular and oxygenation information with cerebral blood volume (CBV) to distinguish...
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Article
N-(2,3-dihydroxypropyl) carbamoyl side chain: a potentially significant factor for recurrent iodinated contrast medium-related adverse drug reactions
To determine whether switching to contrast media based on the sharing of N-(2,3-dihydroxypropyl) carbamoyl side chain reduces the recurrence of iodinated contrast media (ICM)-associated adverse drug reactions (AD...
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Article
Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation
The Image Biomarker Standardization Initiative has helped improve the computational reproducibility of MRI radiomics features. Nonetheless, the MRI sequences and features with high imaging reproducibility are ...
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Article
The 100 most-cited and 100 most-mentioned COVID-19-related radiological articles: a comparative bibliometric analysis
This study aimed to identify the 100 most-cited and 100 most-mentioned coronavirus disease-2019 (COVID-19)–related radiological articles and compare their characteristics.
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Article
Effect of artificial intelligence–based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study
To investigate whether artificial intelligence–based computer-aided diagnosis (AI-CAD) can improve radiologists’ performance when used to support radiologists’ interpretation of digital mammography (DM) in bre...
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Article
Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study
Craniofacial computed tomography (CT) is the diagnostic investigation of choice for craniosynostosis, but high radiation dose remains a concern.
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Article
Defining subventricular zone involvement to predict the survival of patients in isocitrate dehydrogenase-wild type glioblastoma: validation in a prospective registry
The prognostic value of subventricular zone distance (SVD) is unclear because of different definitions and lack of evaluation of clinical survival models. The aim of this study was to define SVD and evaluate i...
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Article
The effect of levodopa treatment on vascular endothelial function in Parkinson’s disease
There has been increasing awareness that micro-vascular alteration or vascular inflammation has been associated with levodopa-induced dyskinesia in PD. Vascular endothelial function assessed by flow mediated d...
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Article
Vessel size and perfusion-derived vascular habitat refines prediction of treatment failure to bevacizumab in recurrent glioblastomas: validation in a prospective cohort
Anti-angiogenic therapy may not benefit all patients with recurrent glioblastomas, and imaging biomarker predicting treatment response to anti-angiogenic therapy is currently limited. We aimed to develop and v...
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Article
Open AccessImaging features of the PI-RADS for predicting extraprostatic extension of prostate cancer: systematic review and meta-analysis
To systematically determine the diagnostic performance of each MRI feature of the PI-RADS for predicting extraprostatic extension (EPE) in prostate cancer.
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Article
Open AccessClinical pitfalls and serological diagnostics of MuSK myasthenia gravis
We aimed to evaluate the diagnostic accuracy of enzyme-linked immunosorbent assay (ELISA) for anti-muscle specific tyrosine kinase (MuSK) antibody (Ab) in a large cohort of anti-acetylcholine receptor (AChR) A...
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Article
Factors influencing outcomes of esophageal balloon dilatation for anastomosis site stenosis after esophageal atresia surgery
Esophageal balloon dilatation is an effective treatment for anastomotic strictures, but the factors affecting the outcome of dilatation remain unclear.
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Article
Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI
Deep learning–based MRI reconstruction has recently been introduced to improve image quality. This study aimed to evaluate the performance of deep learning reconstruction in pediatric brain MRI.
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Article
Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network
To develop an automatic segmentation algorithm using a deep neural network with transfer learning applicable to whole-body PET-CT images in children.
