• Title/Summary/Keyword: Radiology Clinic

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Photon-Counting Detector CT: Key Points Radiologists Should Know

  • Andrea Esquivel;Andrea Ferrero;Achille Mileto;Francis Baffour;Kelly Horst;Prabhakar Shantha Rajiah;Akitoshi Inoue;Shuai Leng;Cynthia McCollough;Joel G. Fletcher
    • Korean Journal of Radiology
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    • v.23 no.9
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    • pp.854-865
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    • 2022
  • Photon-counting detector (PCD) CT is a new CT technology utilizing a direct conversion X-ray detector, where incident X-ray photon energies are directly recorded as electronical signals. The design of the photon-counting detector itself facilitates improvements in spatial resolution (via smaller detector pixel design) and iodine signal (via count weighting) while still permitting multi-energy imaging. PCD-CT can eliminate electronic noise and reduce artifacts due to the use of energy thresholds. Improved dose efficiency is important for low dose CT and pediatric imaging. The ultra-high spatial resolution of PCD-CT design permits lower dose scanning for all body regions and is particularly helpful in identifying important imaging findings in thoracic and musculoskeletal CT. Improved iodine signal may be helpful for low contrast tasks in abdominal imaging. Virtual monoenergetic images and material classification will assist with numerous diagnostic tasks in abdominal, musculoskeletal, and cardiovascular imaging. Dual-source PCD-CT permits multi-energy CT images of the heart and coronary arteries at high temporal resolution. In this special review article, we review the clinical benefits of this technology across a wide variety of radiological subspecialties.

Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography

  • Thomas Weikert;Luca Andre Noordtzij;Jens Bremerich;Bram Stieltjes;Victor Parmar;Joshy Cyriac;Gregor Sommer;Alexander Walter Sauter
    • Korean Journal of Radiology
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    • v.21 no.7
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    • pp.891-899
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    • 2020
  • Objective: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT. Materials and Methods: We retrospectively identified all whole-body trauma CT scans referred from the emergency department of our hospital from January to December 2018 (n = 511). Scans were categorized as positive (n = 159) or negative (n = 352) for rib fractures according to the clinically approved written CT reports, which served as the index test. The bone kernel series (1.5-mm slice thickness) served as an input for a detection prototype algorithm trained to detect both acute and chronic rib fractures based on a deep convolutional neural network. It had previously been trained on an independent sample from eight other institutions (n = 11455). Results: All CTs except one were successfully processed (510/511). The algorithm achieved a sensitivity of 87.4% and specificity of 91.5% on a per-examination level [per CT scan: rib fracture(s): yes/no]. There were 0.16 false-positives per examination (= 81/510). On a per-finding level, there were 587 true-positive findings (sensitivity: 65.7%) and 307 false-negatives. Furthermore, 97 true rib fractures were detected that were not mentioned in the written CT reports. A major factor associated with correct detection was displacement. Conclusion: We found good performance of a deep learning-based prototype algorithm detecting rib fractures on trauma CT on a per-examination level at a low rate of false-positives per case. A potential area for clinical application is its use as a screening tool to avoid false-negative radiology reports.

Rare Neurovascular Diseases in Korea: Classification and Related Genetic Variants

  • Yunsun Song;Boseong Kwon;Abdulrahman Hamed Al-Abdulwahhab;Yeo Kyoung Nam;Yura Ahn;So Yeong Jeong;Eul-Ju Seo;Jong-Keuk Lee;Dae Chul Suh
    • Korean Journal of Radiology
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    • v.22 no.8
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    • pp.1379-1396
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    • 2021
  • Rare neurovascular diseases (RNVDs) have not been well-recognized in Korea. They involve the central nervous system and greatly affect the patients' lives. However, these diseases are difficult to diagnose and treat due to their rarity and incurability. We established a list of RNVDs by referring to the previous literature and databases worldwide to better understand the diseases and their current management status. We categorized 68 RNVDs based on their pathophysiology and clinical manifestations and estimated the prevalence of each disease in Korea. Recent advances in genetic, molecular, and developmental research have enabled further understanding of these RNVDs. Herein, we review each disease, while considering its classification based on updated pathologic mechanisms, and discuss the management status of RNVD in Korea.

A Study on Radiation Dose for General Radiography Examination at First Medical Institution (Around the Radiology Clinic of National Capital Region) (일차 의료기관에서 일반촬영 검사의 피폭선량 연구 (수도권 영상의학과를 중심으로))

  • Hwang, Su-Lyun;Jung, Hong-Ryang;Lim, Cheong-Hwan
    • Journal of the Korean Society of Radiology
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    • v.5 no.5
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    • pp.245-253
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    • 2011
  • The hazard level will be increased with the augmentation of the dose received by patients. Therefore, patients radiation dose have been analyzed by this study for the radiology clinics located at Seoul and Gyeongin area from August 2009 to September 2010. In the case of the front and rear directional inspection of skull, patient radiation dose was turned out to be 1.75mGy for radiology clinic, 3.00mGy for UK, 3.00mGy for Japan, and 5.00mGy for Germany, therefore, radiology clinic was the lowest. In the case of lateral directional inspection of skull, patient radiation dose was turned out to be 1.49mGy for radiology clinic, 1.50mGy for 3rd medical institution, therefore, radiology clinic was measured lower, and it was lower than 3.00mGy which is the recommended dose of IAEA. In order to reduce medical exposure of patient, optimization of efficient protection of radiation and reduction of medical radiation exposure are thought to be required by observing recommendation of international organization based on the result of this study.

Whole Exome Sequencing in Patients with Phenotypically Associated Familial Intracranial Aneurysm

  • Yunsun Song;Jong-Keuk Lee;Jin-Ok Lee;Boseong Kwon;Eul-Ju Seo;Dae Chul Suh
    • Korean Journal of Radiology
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    • v.23 no.1
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    • pp.101-111
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    • 2022
  • Objective: Familial intracranial aneurysms (FIAs) are found in approximately 6%-20% of patients with intracranial aneurysms (IAs), suggesting that genetic predisposition likely plays a role in its pathogenesis. The aim of this study was to identify possible IA-associated variants using whole exome sequencing (WES) in selected Korean families with FIA. Materials and Methods: Among the 26 families in our institutional database with two or more IA-affected first-degree relatives, three families that were genetically enriched (multiple, early onset, or common site involvement within the families) for IA were selected for WES. Filtering strategies, including a family-based approach and knowledge-based prioritization, were applied to derive possible IA-associated variants from the families. A chromosomal microarray was performed to detect relatively large chromosomal abnormalities. Results: Thirteen individuals from the three families were sequenced, of whom seven had IAs. We noted three rare, potentially deleterious variants (PLOD3 c.1315G>A, NTM c.968C>T, and CHST14 c.58C>T), which are the most promising candidates among the 11 potential IA-associated variants considering gene-phenotype relationships, gene function, co-segregation, and variant pathogenicity. Microarray analysis did not reveal any significant copy number variants in the families. Conclusion: Using WES, we found that rare, potentially deleterious variants in PLOD3, NTM, and CHST14 genes are likely responsible for the subsets of FIAs in a cohort of Korean families.