• Journal of Periodontal and Implant Science
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• 제36권1호
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• pp.147-154
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• 2006

Surgical intervention in the posterior maxillary region requires detailed knowledge of maxillary sinus anatomy and the possible anatomical variations. This study evaluated the incidence, location of maxillary sinus septa by using radiographic (panoramic radiography and computed tomography) findings and comparison of panoramic radography with CT in antral anatomical variation. This study was based on data from 70 sinuses in partial dentate maxilla. The sample consisted of 61 patients(25 women and 36 men, with ages ranging between 19 and 77 years and a mean age of $49.4{\pm}11.3$ years) who were being treatment-planned to receive implant-supported restorations. First, the panoramic images were examined for the presence of antral septa by radiologist and examiner who don't know about CT findings. And incidence of antral septa was evaluated using an axial plane of CT image. The incidence of septa was compared between panoramic radiography and CT. The accuracy of the incidence was compared between radiologists and dentists. A total of 20 septa were found in 70 sinuses on CT image and the prevalence of one or more septa per sinus was found to be 28.6%. The assumed incidence of septa on panoramic radiography was $27.6%{\pm}2.2%$ in radiologist and $31.9%{\pm}5.8%$ in dentists. Erroneous diagnosis rate was 11.42% in radiologist and 15.96% in dentists. 40% of antral septa were located in the anterior(premolar) region, 30% of septa were located in the middle(first molar) and posterior(second molar) region separately. Prior to implant placement, it seems appropriate to consider panoramic radiography as a standard radiographic examination and periapical radiographs may be used to complete the findings in regions not sharply depicted in the panoramic radiograph. And cross-sectional imaging should be used in sites with severe bone loss and close proximity of the maxillary sinus.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.1059-1062
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• 1999

Recently, X-ray chest radiograph is showing a tendency to take an image of digital radiograph so as to diagnose the pathological pattern of chest in a usual. When the radiologist observes the chest image derived from digital radiograph system on the monitor. he feels difficult to find out because of the sensitivity of chest radiograph. It takes amount of time to adjust the proper image for diagnosis. Therefore, we provided the result and the method of the optimal image equalization for image enhancement.

• Investigative Magnetic Resonance Imaging
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• 제23권4호
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• pp.374-380
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• 2019

Collision tumor is a synchronous neoplasm wherein two histologically distinct tumors co-exist within the same anastomosis site. Collision tumor can occur in any organ, but the incidence is markedly rare. Additionally, preoperative diagnosis can be challenging to the radiologist. Herein, we report an age 60 male with collision tumor of rectal adenocarcinoma and diffuse large B-cell lymphoma, presented as a semi-annular wall thickening and bulky exophytic mass on MR imaging.

• 한국콘텐츠학회논문지
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• 제10권9호
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• pp.276-284
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• 2010

본 연구는 방사선학과 학생들의 임상실습 후 만족도와 관련 요인을 조사하여 보다 효율적인 임상실습 프로그램을 개발하기 위함이다. 부산, 경남지역 3, 4년제 대학(교)의 방사선(학)과 학생들 중에 실습을 마친 학생 138명을 대상으로 설문 조사를 실시한 결과, 실습지도에 대한 만족도가 가장 높았고 실습평가에 대한 만족도는 가장 낮았다. 학제별로는 3년제에서는 실습지도에 대한 만족도가 높았고 실습환경에 대한 만족도가 낮았으며, 4년제에서는 실습시간에 대한 만족도가 가장 높고 실습평가에 대한 만족도가 가장 낮았다. 다중회귀분석을 사용하여 임상실습 만족도에 영향을 미치는 요인을 알아본 결과, 3년제 학생의 임상실습 만족도에 영향을 미치는 주요인은 병원실습 중에 느끼는 방사선사의 위상이었으며, 4년제 학생은 학교생활 중 느끼는 방사선사의 위상과 개인적으로 실습을 나간 경험이 주요인으로 나타났다.

• 한국방사선학회논문지
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• 제6권1호
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• pp.27-37
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• 2012

2002년 1월 1일부터 2011년 6월 30일까지 지방의 C 대학병원 방사선 관계 종사자 의사, 간호사, 방사선사 및 기타 323명에 대한 개인피폭 선량 측정결과 4419건을 비교 분석하였다. 연도별로는 2003년도 수치가 가장 높았고, 2007년도 수치가 낮게 나타났다. 성별로는 남성이 여성에 비해 높고 연령대는 30대가 높았으며 직종별로는 의사, 간호사, 방사선사 순으로 나타났다. 근무부서별 평균피폭선량은 심혈관 센터, 인터벤션실, 영상의학과(의사), 투시촬영실 순으로 높은 수치를 나타냈다. 이상의 결과로 볼 때 ICRP에서 권고하는 허용선량 기준치(20mSv/년)를 초과하지 않는 범위의 피폭을 받고 있는 것으로 나타났다. 그러나 평균치와 달리 선량의 개인편차가 심하기 때문에 피폭의 최소화를 위해서 방사선 관련 종사자들이 개인별 피폭관리에 최선을 다해야 할 것이다.

• Archives of Plastic Surgery
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• 제47권2호
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• pp.146-152
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• 2020

Background Preoperative computed tomography angiography (CTA) of the abdominal wall vessels is used when planning free flap breast reconstruction (FFBR) because it provides a surgical road map which facilitates flap harvest. However, there are few reports on the effect of abnormal findings on the operative plan. Methods We conducted a retrospective study of all FFBRs performed at a tertiary referral center over a 6-year period (November 2011 to June 2017). One consultant radiologist reported on the findings. Details on patient demographics, CTA reports, and intraoperative details were collected. Results Two hundred patients received preoperative CTAs. Fourteen percent of patients (n=28) had abnormal findings. Of these findings, 18% were vascular anomalies; 36% tumorrelated and 46% were "miscellaneous." In four patients, findings subsequently prevented surgery; they comprised a mesenteric artery aneurysm, absent deep inferior epigastric (DIE) vessels, bilateral occluded DIE arteries, and significant bone metastases. Another patient had no suitable vessels for a free flap and the surgical plan converted to a pedicled transverse rectus abdominis musculocutaneous flap. The remaining incidental findings had no impact on the surgical plan or appropriateness of FFBR. More than one in 10 of those with abnormal findings went on to have further imaging before their operation. Conclusions CTA in FFBR can have a wider impact than facilitating surgical planning and reducing operative times. Incidental findings can influence the surgical plan, and in some instances, avoid doomed-to-fail and unsafe surgery. It is therefore important that these scans are reported by an experienced radiologist.

• 보건의료산업학회지
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• 제7권1호
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• pp.107-118
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• 2013

The purpose of this study is to grasp the image of radiologists perceived by college students of radiology. The survey subjects of this study were selected college students with major in radiology with 3-year system who are attending universities where are located in Daegu and Gyeongbuk area. As for distribution and collection of questionnaire, the objective of research was explained from April 2, 2012 to April 30. 220 people's questionnaires were finally analyzed with a self-administrative method after being widely distributed. Statistical analysis was carried out frequency analysis, t-test, ANOVA, and correlation analysis. To examine factors of having influence upon the image of radiologists, the multiple regression analysis was carried out. As for survey subjects' general characteristics, gender was indicated to be 58.2% for men and 41.8% for women. School year accounted for 38.2% for freshman, 29.1% for sophomore, and 32.7% for junior. Age was the largest in under 21 years old with 43.6%. The next was in order of over 23 years old with 32.7% and 22 years old with 20%. As a result of research, the image of radiologists was being perceived positively. The radiologist was being recognized as a specialist who is sincere oneself and has strong responsibilities, does valuable and worthwhile work, and has the matured professional knowledge. However, the individual image of radiologists was a little negative. Accordingly, to promote the individual image of radiologists, a specific and positive strategy is needed for approaching people as the specialized job with autonomy and responsibility as well as radiologist oneself.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.24-34
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• 2019

In this research, a practical deep learning framework to differentiate the lesions and nodules in breast acquired with ultrasound imaging has been proposed. 7408 ultrasound breast images of 5151 patient cases were collected. All cases were biopsy proven and lesions were semi-automatically segmented. To compensate for the shift caused in the segmentation, the boundaries of each lesion were drawn using Fully Convolutional Networks(FCN) segmentation method based on the radiologist's specified point. The data set consists of 4254 benign and 3154 malignant lesions. In 7408 ultrasound breast images, the number of training images is 6579, and the number of test images is 829. The margin between the boundary of each lesion and the boundary of the image itself varied for training image augmentation. The training images were augmented by varying the margin between the boundary of each lesion and the boundary of the image itself. The images were processed through histogram equalization, image cropping, and margin augmentation. The networks trained on the data with augmentation and the data without augmentation all had AUC over 0.95. The network exhibited about 90% accuracy, 0.86 sensitivity and 0.95 specificity. Although the proposed framework still requires to point to the location of the target ROI with the help of radiologists, the result of the suggested framework showed promising results. It supports human radiologist to give successful performance and helps to create a fluent diagnostic workflow that meets the fundamental purpose of CADx.

• Tuberculosis and Respiratory Diseases
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• 제86권3호
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• pp.226-233
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• 2023

Background: Inactive or old, healed tuberculosis (TB) on chest radiograph (CR) is often found in high TB incidence countries, and to avoid unnecessary evaluation and medication, differentiation from active TB is important. This study develops a deep learning (DL) model to estimate activity in a single chest radiographic analysis. Methods: A total of 3,824 active TB CRs from 511 individuals and 2,277 inactive TB CRs from 558 individuals were retrospectively collected. A pretrained convolutional neural network was fine-tuned to classify active and inactive TB. The model was pretrained with 8,964 pneumonia and 8,525 normal cases from the National Institute of Health (NIH) dataset. During the pretraining phase, the DL model learns the following tasks: pneumonia vs. normal, pneumonia vs. active TB, and active TB vs. normal. The performance of the DL model was validated using three external datasets. Receiver operating characteristic analyses were performed to evaluate the diagnostic performance to determine active TB by DL model and radiologists. Sensitivities and specificities for determining active TB were evaluated for both the DL model and radiologists. Results: The performance of the DL model showed area under the curve (AUC) values of 0.980 in internal validation, and 0.815 and 0.887 in external validation. The AUC values for the DL model, thoracic radiologist, and general radiologist, evaluated using one of the external validation datasets, were 0.815, 0.871, and 0.811, respectively. Conclusion: This DL-based algorithm showed potential as an effective diagnostic tool to identify TB activity, and could be useful for the follow-up of patients with inactive TB in high TB burden countries.

• 대한영상의학회지
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• 제81권2호
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• pp.442-447
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• 2020

의인성 이물질은 인터벤션 의사와 환자 모두에게 심각한 합병증이며, 환자의 삶의 질을 악화시키고 경제적 부담을 준다. 본 증례 보고에서는 복강 내 이물질을 경피경간적 경로로 성공적으로 제거할 수 있었던 드문 증례를 보고하는 바이다. 72세 남자 환자는 좌간절제술 후에 발생한 난치성 담즙 유출을 치료하기 위해 피막 담도 스텐트 설치를 받았다. 설치 3일 후에, 스텐트에 접힘 변형이 발생하면서, 담즙 유출 부위를 통해 스텐트가 만성 담즙종 공동 내부로 이동하였다. 풍선 카테터 기법을 이용하여 접힌 스텐트를 곧게 펴고 담도 내로 위치를 재조정하여, 제거하는 동안 스텐트-스트럿에 의한 손상을 최소화할 수 있었다. 중재적 시술은 혈관 내 이물질뿐만 아니라 복강 내 이물질에도 유효한 치료 방법이 될 수 있다. 이용 가능한 시술 장비들과 술기들에 대한 철저한 이해는 이물질 제거를 위해 보다 효과적인 전략을 수립하는 데 많은 도움을 줄 수 있다.