• 제목/요약/키워드: Radiology practice

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Knowledge, Attitude and Practice of Chewing Gutka, Areca Nut, Snuff and Tobacco Smoking Among the Young Population in the Northern India Population

  • Goyal, Gaurav;Bhagawati, Basavaraj T
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권11호
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    • pp.4813-4818
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    • 2016
  • Objective: The objective of the study was to determine the Knowledge, Attitude and Practice of chewing gutka,areca nut, snuff and tobacco smoking among the young population in the Northern India Population between the age of 15 to 22 years. Methods: The study was approved by the ethical committee. A total of 10 school and colleges located in the rural and urban areas was selected. A total of 1500 young individuals aged between 15 to 22 years were selected. A self-administered questionnaire was designed comprised of 14 closed ended questions about Knowledge, Attitude and Practice towards consumption of areca nut, gutka and tobacco smoking that were filled by the participants. Descriptive statistics were obtained and mean, standard deviation, frequency and percentages were calculated. Data was analyzed by using SPSS. Result: A total of 1050 out of 1500 students responded to the questionnaire. A total of 227 subjects agreed that they are consuming the tobacco. Out of this, 196 (86.34%) were boys and 31 (13.65%) were girls who agreed in consumption of tobacco product. Out of 196, 150 boys (76.5%) practices the habit of smoking 1 -5 times a day and 46 (23.4% ) practice the habit of chewing areca nut and gutkha 1 - 5 times a day. Out of 31 girls, 25 girls (80.6%) practices the habit of smoking 1 -5 times a day and 6 (19.4%) practice the habit of chewing areca nut and gutkha 1 - 5 times a day. Out of 740 subjects, 530 were boys and 210 girls have full knowledge of deleterious long term effects of tobacco consumption. Conclusion:The present study concluded that young population of North India lack Knowledge, Attitude and Practice regarding consumption of areca nut, gutka and tobacco smoking. Here is an urgent need to take effective steps, especially on launching community awareness programs for the school children and public to educate them about the consequences of tobacco use, and on assessing their effectiveness in curbing the problem.

Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)

  • Seo Young Park;Ji Eun Park;Hyungjin Kim;Seong Ho Park
    • Korean Journal of Radiology
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    • 제22권10호
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    • pp.1697-1707
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    • 2021
  • The recent introduction of various high-dimensional modeling methods, such as radiomics and deep learning, has created a much greater diversity in modeling approaches for survival prediction (or, more generally, time-to-event prediction). The newness of the recent modeling approaches and unfamiliarity with the model outputs may confuse some researchers and practitioners about the evaluation of the performance of such models. Methodological literacy to critically appraise the performance evaluation of the models and, ideally, the ability to conduct such an evaluation would be needed for those who want to develop models or apply them in practice. This article intends to provide intuitive, conceptual, and practical explanations of the statistical methods for evaluating the performance of survival prediction models with minimal usage of mathematical descriptions. It covers from conventional to deep learning methods, and emphasis has been placed on recent modeling approaches. This review article includes straightforward explanations of C indices (Harrell's C index, etc.), time-dependent receiver operating characteristic curve analysis, calibration plot, other methods for evaluating the calibration performance, and Brier score.

방사선학과 학생들의 임상실습 스트레스 감소 방안 (Ways to Reduce Clinical Practice Stress of Students in the Department of Radiology)

  • 신성규;이효영
    • 한국콘텐츠학회논문지
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    • 제13권8호
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    • pp.266-274
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    • 2013
  • 본 연구는 부산, 경남 소재 방사선학과 재학생중 임상실습을 마친 253명을 대상으로 실습 기간 중에 받는 스트레스를 분석하고 감소 방안을 마련하여 효율적인 임상실습을 위한 기초 자료를 제공하고자 실시하였다. 결과는 환경요인 스트레스가 가장 높았다. 문항별로는 '오랜 시간 서 있다'가 $3.27{\pm}1.04$로 가장 높았고 '모른다고 무시', '단순한 일 반복'에서 높게 나타났다. 실습분위기와 임상방사선사와의 관계가 좋고 실습 지도를 성의 있게 받은 대상자와 방사선사에 대한 자부심이 높은 대상자들의 스트레스 지수가 낮았다. 대인관계요인과 수행요인이 BEPSI scale에 영향을 미치는 것으로 나타났다. 따라서 실습기관에서는 학생들에게 휴식 및 편의 공간을 배려하고 단순하고 반복적인 실습이 아닌 다양한 실습프로그램을 진행하여야 할 것이다. 또한 임상방사선사들은 학생들이 모른다고 무시하거나 비교하는 행위는 자제하고 앉을 자리와 휴식시간을 배정하여 피로를 줄여주고 따뜻한 말과 격려를 통해 학생들의 임상실습 스트레스를 감소시키는 노력이 필요하다.

Incidental findings in a consecutive series of digital panoramic radiographs

  • MacDonald, David;Yu, Warrick
    • Imaging Science in Dentistry
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    • 제50권1호
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    • pp.53-64
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    • 2020
  • Purpose: The aim of this study was to determine the prevalence of incidental findings(IFs) on digital dental panoramic radiographs(DPRs) of asymptomatic patients attending a general dental practice. Materials and Methods: This was a retrospective study of 6,252 consecutive digital (photostimulatable phosphor) DPRs of patients who visited a Canadian general dental practice for a complete new patient examination. The IFs were grouped into dental-related anomalies, radiopacities and radiopacities in the jaws, changes in the shape of the condyles, and other findings in the jaws, such as tonsilloliths and mucosal antral pseudocysts. Their prevalence was determined. Results: Thirty-two percent of the DPRs showed at least 1 IF. The highest prevalence was found for dental-related anomalies(29% of all DPRs), of which impacted teeth were the most prevalent finding (24% of all DPRs), followed by idiopathic osteosclerosis(6% of all DPRs). A lower prevalence was noted for tonsilloliths(3%), and the prevalence of root tips, mucosal antral pseudocysts, and anomalies in condylar shape was approximately 1% each. Conclusion: The observed prevalence of 32.1% for IFs of any type underscores the need for a dental practitioner to review the entire DPR when a patient presents for an initial dental examination (or check-up) or for dental hygiene. Only a single IF (a central giant cell granuloma) provoked alarm, as it was initially considered malignant. Similarly, impacted teeth and suspected cysts need careful evaluation upon discovery to determine how they may be optimally managed.

New evolution of cone-beam computed tomography in dentistry: Combining digital technologies

  • Jain, Supreet;Choudhary, Kartik;Nagi, Ravleen;Shukla, Stuti;Kaur, Navneet;Grover, Deepak
    • Imaging Science in Dentistry
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    • 제49권3호
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    • pp.179-190
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    • 2019
  • Panoramic radiographs and computed tomography (CT) play a paramount role in the accurate diagnosis, treatment planning, and prognostic evaluation of various complex dental pathologies. The advent of cone-beam computed tomography (CBCT) has revolutionized the practice of dentistry, and this technique is now considered the gold standard for imaging the oral and maxillofacial area due to its numerous advantages, including reductions in exposure time, radiation dose, and cost in comparison to other imaging modalities. This review highlights the broad use of CBCT in the dentomaxillofacial region, and also focuses on future software advancements that can further optimize CBCT imaging.

Cranial Nerve Disorders: Clinical Application of High-Resolution Magnetic Resonance Imaging Techniques

  • Lee, Ji Ye;Park, Hye Min;Lee, Boeun;Kim, Ji-hoon
    • Investigative Magnetic Resonance Imaging
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    • 제25권4호
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    • pp.281-292
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    • 2021
  • Cranial-nerve disorders can be caused by a wide spectrum of diseases, including congenital, inflammatory, and tumorous diseases, and are often encountered in practice. However, the imaging of cranial-nerve disorders is challenging, and understanding the anatomical differences of each region is essential for conducting the best protocols and for detecting subtle changes in cranial nerves during magnetic resonance imaging (MRI) examinations. In this review we discuss which MRI techniques are best for observing normal and pathologic appearance, according to the different regions of the cranial nerves.

Deep Learning-Based Artificial Intelligence for Mammography

  • Jung Hyun Yoon;Eun-Kyung Kim
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1225-1239
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    • 2021
  • During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quantitative assessment of parenchymal density, detection and diagnosis of breast cancer, and prediction of breast cancer risk, enabling more precise patient management. AI-based algorithms may also enhance the efficiency of the interpretation workflow by reducing both the workload and interpretation time. However, more in-depth investigation is required to conclusively prove the effectiveness of AI-based algorithms. This review article discusses how AI algorithms can be applied to mammography interpretation as well as the current challenges in its implementation in real-world practice.

Imaging Spectrum of Augmented Breast and Post-Mastectomy Reconstructed Breast with Common Complications: A Pictorial Essay

  • Renuka Nair Kunju Krisnan;Niketa Chotai
    • Korean Journal of Radiology
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    • 제22권7호
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    • pp.1005-1020
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    • 2021
  • Breast augmentation is becoming more common, be it for cosmetic reasons or post-mastectomy. Multiple articles in the literature describe the imaging findings of various types of cosmetic breast augmentation. Some articles describe imaging findings for different types of post-mastectomy reconstructions. This essay aims to serve as a comprehensive reference for the multimodality imaging of various types of breast augmentations in native breast and post-mastectomy reconstructions. Familiarity with these findings will facilitate the detection of complications and new or recurrent breast malignancies in patients. With the extensive illustrations provided in this essay on normal and abnormal imaging findings of augmented breasts, readers will receive exposure that will facilitate effective practice.

Four-Dimensional Thoracic CT in Free-Breathing Children

  • Hyun Woo Goo
    • Korean Journal of Radiology
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    • 제20권1호
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    • pp.50-57
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    • 2019
  • In pediatric thoracic CT, respiratory motion is generally treated as a motion artifact degrading the image quality. Conversely, respiratory motion in the thorax can be used to answer important clinical questions, that cannot be assessed adequately via conventional static thoracic CT, by utilizing four-dimensional (4D) CT. However, clinical experiences of 4D thoracic CT are quite limited. In order to use 4D thoracic CT properly, imagers should understand imaging techniques, radiation dose optimization methods, and normal as well as typical abnormal imaging appearances. In this article, the imaging techniques of pediatric thoracic 4D CT are reviewed with an emphasis on radiation dose. In addition, several clinical applications of pediatric 4D thoracic CT are addressed in various thoracic functional abnormalities, including upper airway obstruction, tracheobronchomalacia, pulmonary air trapping, abnormal diaphragmatic motion, and tumor invasion. One may further explore the clinical usefulness of 4D thoracic CT in free-breathing children, which can enrich one's clinical practice.

임상가를 위한 특집 1 - CBCT의 기본원리 및 적용 (Fundamentals and Applications of Cone-Beam Computed Tomography(CBCT))

  • 박인우
    • 대한치과의사협회지
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    • 제50권4호
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    • pp.180-188
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    • 2012
  • Cone beam computed tomography(CBCT) machines recently developed in Korea, being designed for imaging hard tissues of the oral and maxillofacial region. I reported a brief overview of CBCT system, in comparison with coventional computed tomography(CT) system. CBCT provides high resolution, simpler image acquisition, lower dose and cost alternative to conventional CT, promising to revolutionize the practice of oral and maxillofacial radiology.