• 제목/요약/키워드: Department of Radiological Science

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제주지역 노인의 담낭결석 유병률 및 위험요인 (Gallstones Risk Factor and Prevalence in the Elderly in Jeju Island)

  • 심현선;최준락;박재진;이수연;이지민;정홍량;임청환;김정구
    • 대한방사선기술학회지:방사선기술과학
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    • 제32권3호
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    • pp.293-298
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    • 2009
  • 배경/목적 : 담낭결석은 담도계의 가장 흔한 질환이며 급성복통을 유발하는 질환이다. 담낭결석으로 인한 담낭염이 자주 발생하고 담낭암의 발생 가능성이 높아진다. 본 연구의 목적은 지역사회의 담낭결석 유병률과 위험요인을 알아보고자 한다. 대상 및 방법 : 2008년 7월 한 달 동안 제주도 10곳에서 60세 이상 노인의 남자 297명, 여자 529명 총 826명을 대상으로 하였다. 대상자는 신장, 체중을 측정하고 혈액검사와 상복부초음파 검사를 시행하였다. 통계학적 검증은 T-test, chi-square test로 검정하여 p < 0.05 이하일 경우 유의한 결과로 판정하였다. 결 과 : 담낭결석 유병률은 5.9%(49/826명)이었다. 남성은 6.1%, 여성은 5.8%로 남성이 여성보다 1.03배 높게 나타났다. 연령별로는 $70{\sim}74$세에서 8.0%로 가장 높은 유병률을 보였다. 담낭결석 집단에서 과체중 이상이 69.3%로 높게 나타났으며, 집단 간의 유의한 차이를 보였다(p < 0.047). 결 론 : 연령의 증가에 따라 담낭결석의 발생률이 높게 나타났다. 비만은 담낭결석 위험요인으로 나타났으며 적절한 체중 관리와 식이조절을 한다면 어느 정도 담낭결석 발생을 줄일 수 있을 것으로 생각된다.

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Feasibility of Percutaneous Pancreatic Stent Placement in Postoperative Pancreaticojejunostomy Stenosis

  • Juil Park;Kichang Han;Joon Ho Kwon;Man-Deuk Kim;Jong Yun Won;Sungmo Moon;Gyoung Min Kim
    • Korean Journal of Radiology
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    • 제24권12호
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    • pp.1241-1248
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    • 2023
  • Objective: To evaluate the role of percutaneous pancreatic stent placement in postoperative pancreaticojejunostomy stenosis (PJS). Materials and Methods: This retrospective single-center study included seven procedures in five patients (four males and one female; median age, 63 years) who underwent percutaneous pancreatic stent placement for postoperative PJS between January 2005 and December 2021. The patients were referred to interventional radiology because of unfavorable anatomy or bowel abnormalities. The pancreatic duct was accessed under ultrasound and/or computed tomography guidance. A stent was placed after balloon dilatation of the PJS. Moreover, plastic stents were placed for the first two procedures, whereas bare-metal stents were used for the remaining five procedures. Technical success was defined as the successful placement of stents for the PJS, meanwhile, clinical success was defined as the normalization of pancreatic enzymes without recurrence of pancreatitis. Results: Pancreatic duct access and stent placement were successfully performed in all patients (technical success rate: 100%). All the procedures initially yielded clinical success. However, recurrence of pancreatitis was observed after two procedures that used plastic stents because of stent migration at 0.3 and 3 months after the procedure. In contrast, no instances of recurrent pancreatitis were noted after metal stent placement for a follow-up duration of 1-36 months. No serious procedure-related adverse events were observed. Conclusion: Percutaneous pancreatic stent placement may be a viable option for patients with postoperative PJS in whom an endoscopic approach is not feasible. Metal stents may be considered over plastic stents for the management of PJS, considering the possible lower stent migration and infeasibility of frequent endoscopic stent exchange due to the altered anatomy.

Diagnosing Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasonography: 2023 Guidelines From the Korean Society of Radiology and the Korean Society of Abdominal Radiology

  • Woo Kyoung Jeong;Hyo-Jin Kang;Sang Hyun Choi;Mi-Suk Park;Mi Hye Yu;Bohyun Kim;Myung-Won You;Sanghyeok Lim;Young Seo Cho;Min Woo Lee;Jeong Ah Hwang;Jae Young Lee;Jung Hoon Kim;Ijin Joo;Jae Seok Bae;So Yeon Kim;Yong Eun Chung;Dong Hwan Kim;Jeong Min Lee
    • Korean Journal of Radiology
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    • 제24권6호
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    • pp.482-497
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    • 2023
  • Sonazoid, a second-generation ultrasound contrast agent, was introduced for the diagnosis of hepatic nodules. To clarify the issues with Sonazoid contrast-enhanced ultrasonography for the diagnosis of hepatocellular carcinoma (HCC), the Korean Society of Radiology and Korean Society of Abdominal Radiology collaborated on the guidelines. The guidelines are de novo, evidence-based, and selected using an electronic voting system for consensus. These include imaging protocols, diagnostic criteria for HCC, diagnostic value for lesions that are inconclusive on other imaging results, differentiation from non-HCC malignancies, surveillance of HCC, and treatment response after locoregional and systemic treatment for HCC.

병원 웹사이트 방사선 관련 픽토그램 평가 (Evaluation of Pictograms Related to Radiology on the Website of Hospitals)

  • 최경호;조정근
    • 대한방사선기술학회지:방사선기술과학
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    • 제42권4호
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    • pp.301-308
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    • 2019
  • This study reviewed whether radiology-related pictograms listed on the website of hospitals deliver clearly, accurately and quickly the necessary information. TOPSIS was carried out to select the most fitting pictograms for the department of radiology, department of radiation oncology, and department of nuclear medicine. The finally selected pictogram for the department of radiology shows an image of the chest (lungs), while that for the department of radiation oncology shows the process of treatment using equipment. Using these pictograms as standards seem to be appropriate to a certain level. However, the pictogram for department of nuclear medicine has a symbol for a nucleus and is thus inappropriate to meet the standards for a hospital pictogram. This study is meaningful in that it has established evaluation methods and procedures relaetd to radiation pictograms.

비전리 방사선 (근적외선) 기반 의료영상 활용 가능성 평가: 당뇨발 (The Evaluation of Non-Ionizing Radiation (Near-Infrared Radiation) based Medical Imaging Application : Diabetes Foot)

  • 정영진;신철원;안성민;홍준용;안윤진;임청환
    • 대한방사선기술학회지:방사선기술과학
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    • 제39권3호
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    • pp.399-406
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    • 2016
  • 비전리-방사선의 일종인 근적외선은 비침습적이고, 비전리성을 가지며, 생체 내 높은 투과성을 가지는 전자기파로, 진단을 위한 의료영상분야에 전 세계적으로 관심이 증가하여 그 활용 가능성이 활발히 연구되어지고 있다. 그러나 현재 국내에서 근적외선 의료영상의 활용은 극히 제한되어 있으며, 큰 관심을 가지고 있지 못하여, 새롭게 형성되는 근적외선 기반 의료영상 분야의 방사선사의 대응 역량의 강화가 필요시 된다. 본 연구에서는 근적외선의 특징 및 영상화 원리를 간략히 소개하고, 이를 이용한 최신의 연구 주제 및 세계적인 연구 동향을 소개함으로서 국내 방사선사의 역량을 강화하고자 한다. 특히, 임상적 활용 가능성이 매우 높은 상처 및 당뇨발등의 연구 주제에 대해서 소개하여, 이 분야의 발전을 가속화 시키는데 기여하고자 한다.

CT 정도관리에서 ACR 팬텀을 이용한 딥러닝 모델 적용에 관한 연구 (A Study on the Application of Deep Learning Model by Using ACR Phantom in CT Quality Control)

  • 최은빈;김시온;최승원;김재희;김영균;한동균
    • 대한방사선기술학회지:방사선기술과학
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    • 제46권6호
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    • pp.535-542
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    • 2023
  • This study aimed to implement a deep learning model that can perform quantitative quality control through ACTS software used for quantitative evaluation of ACR phantom in CT quality control and evaluate its usefulness. By changing the scanning conditions, images of three modules of the ACR phantom's slice thickness (ST), low contrast resolution (LC), and high contrast resolution (HC) were obtained and classified as ACTS software. The deep learning model used ResNet18, implementing three models in which ST, HC, and LC were learned with epoch 50 and an integrated model in which three modules were learned with Epoch 10, 30, and 50 at once. The performance of each model was evaluated through Accuracy and Loss. When comparing and evaluating the accuracy and loss function values of the deep learning models by ST, LC, and HC modules, the Accuracy and Loss of the HC model were the best with 100% and 0.0081, and in the integrated model according to the Epoch value, Accuracy and Loss with epoch 50 were the best with 96.29% and 0.1856. This paper showed that quantitative quality control is possible through a deep learning model, and it can be used as a basis and evidence for applying deep learning to the CT quality control.

A Modified Length-Based Grading Method for Assessing Coronary Artery Calcium Severity on Non-Electrocardiogram-Gated Chest Computed Tomography: A Multiple-Observer Study

  • Suh Young Kim;Young Joo Suh;Na Young Kim;Suji Lee;Kyungsun Nam;Jeongyun Kim;Hwan Kim;Hyunji Lee;Kyunghwa Han;Hwan Seok Yong
    • Korean Journal of Radiology
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    • 제24권4호
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    • pp.284-293
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    • 2023
  • Objective: To validate a simplified ordinal scoring method, referred to as modified length-based grading, for assessing coronary artery calcium (CAC) severity on non-electrocardiogram (ECG)-gated chest computed tomography (CT). Materials and Methods: This retrospective study enrolled 120 patients (mean age ± standard deviation [SD], 63.1 ± 14.5 years; male, 64) who underwent both non-ECG-gated chest CT and ECG-gated cardiac CT between January 2011 and December 2021. Six radiologists independently assessed CAC severity on chest CT using two scoring methods (visual assessment and modified length-based grading) and categorized the results as none, mild, moderate, or severe. The CAC category on cardiac CT assessed using the Agatston score was used as the reference standard. Agreement among the six observers for CAC category classification was assessed using Fleiss kappa statistics. Agreement between CAC categories on chest CT obtained using either method and the Agatston score categories on cardiac CT was assessed using Cohen's kappa. The time taken to evaluate CAC grading was compared between the observers and two grading methods. Results: For differentiation of the four CAC categories, interobserver agreement was moderate for visual assessment (Fleiss kappa, 0.553 [95% confidence interval {CI}: 0.496-0.610]) and good for modified length-based grading (Fleiss kappa, 0.695 [95% CI: 0.636-0.754]). The modified length-based grading demonstrated better agreement with the reference standard categorization with cardiac CT than visual assessment (Cohen's kappa, 0.565 [95% CI: 0.511-0.619 for visual assessment vs. 0.695 [95% CI: 0.638-0.752] for modified length-based grading). The overall time for evaluating CAC grading was slightly shorter in visual assessment (mean ± SD, 41.8 ± 38.9 s) than in modified length-based grading (43.5 ± 33.2 s) (P < 0.001). Conclusion: The modified length-based grading worked well for evaluating CAC on non-ECG-gated chest CT with better interobserver agreement and agreement with cardiac CT than visual assessment.

Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer

  • Kiwook Kim;Sungwon Kim;Kyunghwa Han;Heejin Bae;Jaeseung Shin;Joon Seok Lim
    • Korean Journal of Radiology
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    • 제22권6호
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    • pp.912-921
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    • 2021
  • Objective: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) in detecting liver metastasis with that of radiologists. Materials and Methods: This clinical retrospective study used 4386-slice computed tomography (CT) images and labels from a training cohort (502 patients with colorectal cancer [CRC] from November 2005 to December 2010) to train the DLLD for detecting liver metastasis, and used CT images of a validation cohort (40 patients with 99 liver metastatic lesions and 45 patients without liver metastasis from January 2011 to December 2011) for comparing the performance of the DLLD with that of readers (three abdominal radiologists and three radiology residents). For per-lesion binary classification, the sensitivity and false positives per patient were measured. Results: A total of 85 patients with CRC were included in the validation cohort. In the comparison based on per-lesion binary classification, the sensitivity of DLLD (81.82%, [81/99]) was comparable to that of abdominal radiologists (80.81%, p = 0.80) and radiology residents (79.46%, p = 0.57). However, the false positives per patient with DLLD (1.330) was higher than that of abdominal radiologists (0.357, p < 0.001) and radiology residents (0.667, p < 0.001). Conclusion: DLLD showed a sensitivity comparable to that of radiologists when detecting liver metastasis in patients initially diagnosed with CRC. However, the false positives of DLLD were higher than those of radiologists. Therefore, DLLD could serve as an assistant tool for detecting liver metastasis instead of a standalone diagnostic tool.