J
Jung Gi Im
Researcher at New Generation University College
Publications - 241
Citations - 8718
Jung Gi Im is an academic researcher from New Generation University College. The author has contributed to research in topics: Lung & Respiratory disease. The author has an hindex of 53, co-authored 241 publications receiving 8222 citations. Previous affiliations of Jung Gi Im include Seoul National University Hospital & Seoul National University.
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Pulmonary tuberculosis: CT findings - Early active disease and sequential change with antituberculous therapy
TL;DR: Lesions in and around the small airways appear to be the most characteristic CT feature of early active tuberculosis and may be a reliable criterion for disease activity.
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Atypical pulmonary metastases: spectrum of radiologic findings.
TL;DR: Typical radiologic findings of a pulmonary metastasis include multiple round variable-sized nodules and diffuse thickening of interstitium, but in daily practice, atypical radiological features of metastases are often encountered that make distinction of metastase from other nonmalignant pulmonary diseases difficult.
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Radiation dose modulation techniques in the multidetector CT era: from basics to practice.
TL;DR: A clear understanding of how to use different AEC systems on different multidetector CT scanners will allow users to modulate radiation dose, reduce photon starvation artifacts, and maintain image quality throughout the body.
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False positive and false negative FDG-PET scans in various thoracic diseases.
TL;DR: False positive and negative findings of PET scan in a variety of diseases are illustrated to help radiologists interpret PET scans more accurately and also to determine the significance of the findings.
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Nodular ground-glass opacity at thin-section CT: histologic correlation and evaluation of change at follow-up
TL;DR: An awareness of the clinical setting, in addition to familiarity with the thin-section CT features of nodular ground-glass opacity at initial and follow-up imaging over several months, can help identify malignancy and achieve an accurate diagnosis.