A5100619727- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Medical Imaging and Pathology Studies
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Lung Cancer Treatments and Mutations
- Neonatal Respiratory Health Research
- Tracheal and airway disorders
- Radiology practices and education
- Vascular Anomalies and Treatments
- Pulmonary Hypertension Research and Treatments
- Digital Radiography and Breast Imaging
- Mental Health Research Topics
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Pleural and Pulmonary Diseases
- Tuberculosis Research and Epidemiology
- Suicide and Self-Harm Studies
- Congenital Diaphragmatic Hernia Studies
- Health and Wellbeing Research
- Radiation Dose and Imaging
- Lymphoma Diagnosis and Treatment
- Cutaneous lymphoproliferative disorders research
- Adrenal and Paraganglionic Tumors
- Viral-associated cancers and disorders
Seoul National University Hospital
2010-2024
Seoul National University
2005-2019
Soonchunhyang University
2019
New Generation University College
2003-2017
National University College
2012-2017
Seoul National University Bundang Hospital
2008-2012
National Cancer Center
2006
Eulji General Hospital
2003
Gachon University Gil Medical Center
2002-2003
The purpose of this study was to develop an automated scheme facilitate detection localized ground-glass opacity (GGO) in the lung at computed tomography (CT). Institutional review board approval and informed consent were not required. Two radiologists reviewed CT images from 14 patients (five men, nine women) who had cancer or metastasis whose malignancy classified as GGO. region sampled completely covered with contiguous, 50% overlapping regions interest (ROIs) measuring 30 × pixels size....
Objectives: The inaccuracy of conventional CT makes open thoracotomy and manual palpation inevitable in pulmonary metastasectomy. However, the introduction multi-detector row technology made it possible to detect nodules with a diameter 1 mm. purpose this study was investigate accuracy mm thin-section 16-channel (TSMDCT) detection metastatic nodules. Methods: Twenty-seven patients who underwent metastasectomy between November 2005 September 2006 were included study. primary tumors colorectal...
The aim of this study was to analyze the computed tomographic (CT) findings atypical adenomatous hyperplasia (AAH) in lung.The CT AAHs eight patients were retrospectively reviewed. each AAH lesion evaluated for multiplicity, location, shape, size and internal density lesion, interface between normal lung features within any change on follow-up scans (range: 33 540 days; average: 145.3 days).The consisted three men five women (age range: 43-71 years). Six asymptomatic. Four them (50%) had...
The purpose of this study was to explore the effects CT slice thickness, reconstruction algorithm, and radiation dose on quantification features characterize lung nodules using a chest phantom. Spherical nodule phantoms known densities (−630 + 100 HU) were inserted into an anthropomorphic thorax scan performed ten times with relocations. data reconstructed 12 different imaging settings; three thicknesses 1.25, 2.5, 5.0 mm, two kernels sharp standard, 30 mAs mAs. Lesions segmented...
The purpose of this article is to assess the interscan variability semiautomated volume and attenuation measurements for pulmonary persistent pure ground-glass nodules.Thirty nodules in 25 patients referred known were evaluated with two consecutive unenhanced chest CT examinations performed within 10 minutes. For second limited scan, asked first get off then back on table simulate a follow-up examination. images reconstructed using different algorithms (sharp, B60F; medium sharp, B50F). Two...
Quantum computing has emerged as a transformative paradigm, capable of tackling complex computational problems that are infeasible for classical methods within practical timeframe. At the core this advancement lies concept quantum supremacy, which signifies ability processors to surpass systems in specific tasks. In context tomographic image reconstruction, optimization algorithms enable faster processing and clearer imaging than conventional methods. This study further substantiates...
We sought to evaluate the potential benefits of a computer-aided detection (CAD) system for detecting lung nodules in multidetector row CT (MDCT) scans.A CAD was developed on MDCT scans and applied data obtained from 15 patients. Two chest radiologists consensus established reference standard. The were categorized according their size relationship surrounding structures (nodule type). differences sensitivities between an experienced radiologist without user interaction evaluated using chi2...
To evaluate the effect of computer-aided detection (CAD) system on observer performance in malignant lung nodules chest radiograph.Two hundred radiographs (100 normal and 100 abnormal with solitary nodules) were evaluated. With CT histological confirmation serving as a reference, mean nodule size was 15.4 mm (range, 7-20 mm). Five radiologists five radiology residents independently interpreted both original CAD output images using sequential testing method. The performances observers for...
Despite previous efforts to build statistical models for predicting the risk of suicidal behavior using machine-learning analysis, a high-accuracy model can lead overfitting. Furthermore, internal validation cannot completely address this problem. In study, we created occurrence suicide attempts among Koreans at high suicide, and verified these in an independent cohort. We performed logistic penalized regression within 6 months ideators attempters The Korean Cohort Model Predicting Suicide...
Automated Lung Nodule Detection