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근대기 금어(金魚) 석하시찬(石霞施讚)의 불상 연구 (A Study on the Buddhist Sculptures of Modern Buddhist Artist SeokhaSichan)

  • 이주민
    • 헤리티지:역사와 과학
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    • 제57권2호
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    • pp.52-78
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    • 2024
  • 본 연구는 근대기 한국 불교미술의 주요 인물인 석하시찬(石霞施讚, 1893~1958)의 조각 예술을 분석하여 그의 작품이 한국 불교미술사에서 차지하는 위상과 기여를 재조명하였다. 시찬은 스승 완호낙현(玩虎洛現)으로부터 받은 전통적 조형 기법을 바탕으로 독창적인 양식을 개발하여 근대기 한국 불교미술의 경계를 확장하였다. 시찬의 작품 특징과 조형적 변화를 중심으로 그의 예술적 발전 과정을 규명하였다. 시찬의 초기 작품은 석굴암 본존불을 모델로 한 작품과 스승 완호낙현(玩虎洛現)의 영향이 짙게 드러나는 소형 조각들로 구성되어 있다. 후기 작품에서는 육중한 괴량감이 느껴지는 조형감, 작품의 대형화, 자세의 직립화, 불상과 대좌의 일체화, 그리고 옷주름의 장식화 등의 특징이 두드러진다. 이러한 변화는 시찬이 사회적 변화에 대응하며 자신의 내면적 성찰과 예술적 탐구를 작품에 반영한 결과로 해석된다. 본 연구는 문헌 조사와 새롭게 발견된 시찬의 작품을 통해 스승 완호낙현(玩虎洛現)의 영향, 퇴운원일(退雲圓日)과의 협업, 후원자 김지성화(金至誠華)와의 교류, 계승자 금춘성필(金春性必)과의 사승 관계 등을 밝혀냈다. 시찬의 작품과 그의 예술적 변화 과정은 근대기 한국 불교조각사의 중요한 이정표로, 전통과 근대적 감각을 융합한 독창적인 조형성을 보여준다. 본 연구는 시찬의 예술적 유산이 후대에 어떻게 계승되고 발전했는지를 보여주며, 한국 근대 불교조각사 연구에 중요한 자료를 제공한다.

Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings

  • Thomas Weikert;Saikiran Rapaka;Sasa Grbic;Thomas Re;Shikha Chaganti;David J. Winkel;Constantin Anastasopoulos;Tilo Niemann;Benedikt J. Wiggli;Jens Bremerich;Raphael Twerenbold;Gregor Sommer;Dorin Comaniciu;Alexander W. Sauter
    • Korean Journal of Radiology
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    • 제22권6호
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    • pp.994-1004
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    • 2021
  • Objective: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. Materials and Methods: All initial chest CTs of patients who tested positive for severe acute respiratory syndrome coronavirus 2 at our emergency department between March 25 and April 25, 2020, were identified (n = 120). Three patient management groups were defined: group 1 (outpatient), group 2 (general ward), and group 3 (intensive care unit [ICU]). Multiple pulmonary and cardiovascular metrics were extracted from the chest CT images using deep learning. Additionally, six laboratory findings indicating inflammation and cellular damage were considered. Differences in CT metrics, laboratory findings, and demographics between the patient management groups were assessed. The potential of these parameters to predict patients' needs for intensive care (yes/no) was analyzed using logistic regression and receiver operating characteristic curves. Internal and external validity were assessed using 109 independent chest CT scans. Results: While demographic parameters alone (sex and age) were not sufficient to predict ICU management status, both CT metrics alone (including both pulmonary and cardiovascular metrics; area under the curve [AUC] = 0.88; 95% confidence interval [CI] = 0.79-0.97) and laboratory findings alone (C-reactive protein, lactate dehydrogenase, white blood cell count, and albumin; AUC = 0.86; 95% CI = 0.77-0.94) were good classifiers. Excellent performance was achieved by a combination of demographic parameters, CT metrics, and laboratory findings (AUC = 0.91; 95% CI = 0.85-0.98). Application of a model that combined both pulmonary CT metrics and demographic parameters on a dataset from another hospital indicated its external validity (AUC = 0.77; 95% CI = 0.66-0.88). Conclusion: Chest CT of patients with COVID-19 contains valuable information that can be accessed using automated image analysis. These metrics are useful for the prediction of patient management.

변온 조건 및 GA3 처리가 큰금매화의 종자 발아에 미치는 영향 (Effect of Alternating Temperature Conditions, and GA3 Treatment on Seed Germination of Trollius macropetalus (Regel) F.Schmidt)

  • 김동학;조승주;성정원;윤정원
    • 한국자원식물학회지
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    • 제37권1호
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    • pp.79-86
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    • 2024
  • 본 연구는 북한 식물자원 큰금매화의 종자 번식을 위해 발아에 대한 기초자료를 제시하고자 수행되었다. 큰금매화 종자의 형태적 특성과 활력을 검정하였고, 변온 조건(15/6℃ & 25/15℃), 저온층적처리 및 GA3 처리에 따른 발아 특성을 조사하였다. 연구 결과, 저온층적처리는 큰금매화 종자의 휴면타파에 효과가 없었다. GA3 처리는 큰금매화 종자의 발아율을 현저히 증가시켰고, 평균발아일수와 발아세 또한 유의미하게 향상시켰다. 한편, 15/6℃ 조건에 비해 25/15℃ 조건에서는 큰금매화 종자에 대한 GA3 처리의 효과가 감소하였다. 큰금매화 종자는 Nondeep-type의 형태·생리적휴면(MPD)을 가지는 것으로 판단되었고, 본 연구에서 가장 효율적인 발아 조건은 15/6℃ 변온조건과 GA3 500 mg·L-1 처리로 확인되었다. 이러한 본 연구의 결과는 고산성 북방계 식물인 큰금매화의 대량증식에 유용한 자료가 될 것이다.

노인 대상 스마트폰 앱 콘텐츠를 이용한 구강 근력 강화 훈련의 기능 개선 효과 (Effects of smartphone app-based oral muscle strength training on functional improvement in the elderly)

  • Kyeong-Hee Lee;Yoon-Young Choi;Eun-Seo Jung;Hyun-Young Moon;Mi-Sook Yoon;Kyeong-Jin Lee
    • 한국치위생학회지
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    • 제24권3호
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    • pp.209-218
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    • 2024
  • 연구목적: 본 연구는 스마트폰 앱을 이용한 구강근력 강화훈련 교육 콘텐츠를 개발하고 노인들에게 적용한 후 효과를 살펴보고자 하였다. 연구방법: 훈련은 2023년 8월 말부터 10월 초까지 6주 동안 총12회를 적용하였다. 수행 장소는 참여 대상자의 소속기관이며, 1회당 소요시간은 약60분이었다. 연구결과: 구강건강 증진 효과는 치면세균막(p<0.05), 치은염(p<0.001), 설태(p<0.01), 타액분비량(p<0.001)에서 유의한 차이를 보였다. 프로그램 실시 전에 비해 치면세균막은 0.69 감소, 치은염은 0.99 감소, 설태는 1.11 감소, 타액 분비량은 0.73 증가하였다. 사후 두 그룹간의 비교에서도 치면세균막(p<0.001), 치은염(p<0.001), 설태(p<0.05)는 유의한 차이를 보였다. 구강근력 강화 효과는 전방부 혀 근력(p<0.001)과 후방부 혀 근력(p<0.01)에서 유의한 차이를 보였다. 전방부 혀 근력은 5.25 증가, 후방부 혀 근력은 6.82 증가하였다. 결론: 본 연구에서 개발한 스마트폰 앱 콘텐츠는 일상생활에서 노인의 구강건강 증진에 유용하게 활용될 수 있을 것으로 생각되며, 이를 위해서는 개발된 콘텐츠를 알리고 노인들이 잘 활용할 수 있도록 훈련하는 과정이 필요하다.

산마늘 추출물의 알코올 유도 세포독성에 대한 간 세포 보호 효과 (Protective effect of Allium ochotense Prokh. extract against ethanol-induced cytotoxicity)

  • 김태윤;김종민;이효림;고민지;주승겸;김주희;이한수;심선정;허호진
    • 한국식품저장유통학회지
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    • 제30권3호
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    • pp.526-537
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    • 2023
  • 본 실험에서는 산마늘 추출물의 in vitro 항산화 및 in vitro 생리활성 효능평가를 진행하였다. 산마늘 추출물은 페놀성 화합물과 플라보노이드 화합물을 함유하고 있으며, ABTS, DPPH 라디칼 소거 활성 등을 나타내었다, 특히, 산마늘 추출물은 우수한 알코올 대사 관련 효소 활성을 나타내었으며 더불어, HepG2 세포에서 에탄올로 유도된 스트레스에 대해 세포 생존율을 유의적으로 증가시켰으며, 활성 산소종의 생성을 효과적으로 감소시켰다. 그리고 산마늘 물 및 60% 에탄올 추출물은 에탄올로 세포독성이 유도된 간세포에서 BCl-2, BAX 및 pro-caspase-3의 발현량을 개선함으로써 세포사멸을 억제하는 것으로 확인되었다.

Phase I Clinical Trial of Prostate-Specific Membrane Antigen-Targeting 68Ga-NGUL PET/CT in Healthy Volunteers and Patients with Prostate Cancer

  • Minseok Suh;Hyun Gee Ryoo;Keon Wook Kang;Jae Min Jeong;Chang Wook Jeong;Cheol Kwak;Gi Jeong Cheon
    • Korean Journal of Radiology
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    • 제23권9호
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    • pp.911-920
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    • 2022
  • Objective: 68Ga-NGUL is a novel prostate-specific membrane antigen (PSMA)-targeting tracer based on Glu-Urea-Lys derivatives conjugated to a 1,4,7-triazacyclononane-N,N',N''-triacetic acid (NOTA) chelator via a thiourea-type short linker. This phase I clinical trial of 68Ga-NGUL was conducted to evaluate the safety and radiation dosimetry of 68Ga-NGUL in healthy volunteers and the lesion detection rate of 68Ga-NGUL in patients with prostate cancer. Materials and Methods: We designed a prospective, open-label, single-arm clinical trial with two cohorts comprising six healthy adult men and six patients with metastatic prostate cancer. Safety and blood test-based toxicities were monitored throughout the study. PET/CT scans were acquired at multiple time points after administering 68Ga-NGUL (2 MBq/kg; 96-165 MBq). In healthy adults, absorbed organ doses and effective doses were calculated using the OLINDA/EXM software. In patients with prostate cancer, the rates of detecting suspicious lesions by 68Ga-NGUL PET/CT and conventional imaging (CT and bone scintigraphy) during the screening period, within one month after recruitment, were compared. Results: All 12 participants (six healthy adults aged 31-32 years and six prostate cancer patients aged 57-81 years) completed the clinical trial. No drug-related adverse events were observed. In the healthy adult group, 68Ga-NGUL was rapidly distributed, with the highest uptake in the kidneys. The median effective dose coefficient was calculated as 0.025 mSv/MBq, and cumulative activity in the bladder had the highest contribution. In patients with metastatic prostate cancer, 229 suspicious lesions were detected using either 68Ga-NGUL PET/CT or conventional imaging. Among them, 68Ga-NGUL PET/CT detected 199 (86.9%) lesions and CT or bone scintigraphy detected 114 (49.8%) lesions. Conclusion: 68Ga-NGUL can be safely applied clinically and has shown a higher detection rate for the localization of metastatic lesions in prostate cancer than conventional imaging. Therefore, 68Ga-NGUL is a valuable option for prostate cancer imaging.

Automated Measurement of Native T1 and Extracellular Volume Fraction in Cardiac Magnetic Resonance Imaging Using a Commercially Available Deep Learning Algorithm

  • Suyon Chang;Kyunghwa Han;Suji Lee;Young Joong Yang;Pan Ki Kim;Byoung Wook Choi;Young Joo Suh
    • Korean Journal of Radiology
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    • 제23권12호
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    • pp.1251-1259
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    • 2022
  • Objective: T1 mapping provides valuable information regarding cardiomyopathies. Manual drawing is time consuming and prone to subjective errors. Therefore, this study aimed to test a DL algorithm for the automated measurement of native T1 and extracellular volume (ECV) fractions in cardiac magnetic resonance (CMR) imaging with a temporally separated dataset. Materials and Methods: CMR images obtained for 95 participants (mean age ± standard deviation, 54.5 ± 15.2 years), including 36 left ventricular hypertrophy (12 hypertrophic cardiomyopathy, 12 Fabry disease, and 12 amyloidosis), 32 dilated cardiomyopathy, and 27 healthy volunteers, were included. A commercial deep learning (DL) algorithm based on 2D U-net (Myomics-T1 software, version 1.0.0) was used for the automated analysis of T1 maps. Four radiologists, as study readers, performed manual analysis. The reference standard was the consensus result of the manual analysis by two additional expert readers. The segmentation performance of the DL algorithm and the correlation and agreement between the automated measurement and the reference standard were assessed. Interobserver agreement among the four radiologists was analyzed. Results: DL successfully segmented the myocardium in 99.3% of slices in the native T1 map and 89.8% of slices in the post-T1 map with Dice similarity coefficients of 0.86 ± 0.05 and 0.74 ± 0.17, respectively. Native T1 and ECV showed strong correlation and agreement between DL and the reference: for T1, r = 0.967 (95% confidence interval [CI], 0.951-0.978) and bias of 9.5 msec (95% limits of agreement [LOA], -23.6-42.6 msec); for ECV, r = 0.987 (95% CI, 0.980-0.991) and bias of 0.7% (95% LOA, -2.8%-4.2%) on per-subject basis. Agreements between DL and each of the four radiologists were excellent (intraclass correlation coefficient [ICC] of 0.98-0.99 for both native T1 and ECV), comparable to the pairwise agreement between the radiologists (ICC of 0.97-1.00 and 0.99-1.00 for native T1 and ECV, respectively). Conclusion: The DL algorithm allowed automated T1 and ECV measurements comparable to those of radiologists.

A Prospective Study on the Value of Ultrasound Microflow Assessment to Distinguish Malignant from Benign Solid Breast Masses: Association between Ultrasound Parameters and Histologic Microvessel Densities

  • Ah Young Park;Myoungae Kwon;Ok Hee Woo;Kyu Ran Cho;Eun Kyung Park;Sang Hoon Cha;Sung Eun Song;Ju-Han Lee;JaeHyung Cha;Gil Soo Son;Bo Kyoung Seo
    • Korean Journal of Radiology
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    • 제20권5호
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    • pp.759-772
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    • 2019
  • Objective: To investigate the value of ultrasound (US) microflow assessment in distinguishing malignant from benign solid breast masses as well as the association between US parameters and histologic microvessel density (MVD). Materials and Methods: Ninety-eight breast masses (57 benign and 41 malignant) were examined using Superb Microvascular Imaging (SMI) and contrast-enhanced US (CEUS) before biopsy. Two radiologists evaluated the quantitative and qualitative vascular parameters on SMI (vascular index, morphology, distribution, and penetration) and CEUS (time-intensity curve analysis and enhancement characteristics). US parameters were compared between benign and malignant masses and the diagnostic performance was compared between SMI and CEUS. Subgroup analysis was performed according to lesion size. The effect of vascular parameters on downgrading Breast Imaging Reporting and Data System (BI-RADS) category 4A masses was evaluated. The association between histologic MVD and US parameters was analyzed. Results: Malignant masses were associated with a higher vascular index (15.1 ± 7.3 vs. 5.9 ± 5.6), complex vessel morphology (82.9% vs. 42.1%), central vascularity (95.1% vs. 59.6%), penetrating vessels (80.5% vs. 31.6%) on SMI (all, p < 0.001), as well as higher peak intensity (37.1 ± 25.7 vs. 17.0 ± 15.8, p < 0.001), slope (10.6 ± 11.2 vs. 3.9 ± 4.2, p = 0.001), area (1035.7 ± 726.9 vs. 458.2 ± 410.2, p < 0.001), hyperenhancement (95.1% vs. 70.2%, p = 0.005), centripetal enhancement (70.7% vs. 45.6%, p = 0.023), penetrating vessels (65.9% vs. 22.8%, p < 0.001), and perfusion defects (31.7% vs. 3.5%, p < 0.001) on CEUS (p ≤ 0.023). The areas under the receiver operating characteristic curve (AUCs) of SMI and CEUS were 0.853 and 0.841, respectively (p = 0.803). In 19 masses measuring < 10 mm, central vascularity on SMI was associated with malignancy (100% vs. 38.5%, p = 0.018). Considering all benign SMI parameters on the BI-RADS assessment, unnecessary biopsies could be avoided in 12 category 4A masses with improved AUCs (0.500 vs. 0.605, p < 0.001). US vascular parameters associated with malignancy showed higher MVD (p ≤ 0.016). MVD was higher in malignant masses than in benign masses, and malignant masses negative for estrogen receptor or positive for Ki67 had higher MVD (p < 0.05). Conclusion: US microflow assessment using SMI and CEUS is valuable in distinguishing malignant from benign solid breast masses, and US vascular parameters are associated with histologic MVD.

Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses

  • Jianjian Zhang;Shiteng Suo;Guiqin Liu;Shan Zhang;Zizhou Zhao;Jianrong Xu;Guangyu Wu
    • Korean Journal of Radiology
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    • 제20권5호
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    • pp.791-800
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    • 2019
  • Objective: To compare various models of diffusion-weighted imaging including monoexponential apparent diffusion coefficient (ADC), biexponential (fast diffusion coefficient [Df], slow diffusion coefficient [Ds], and fraction of fast diffusion), stretched-exponential (distributed diffusion coefficient and anomalous exponent term [α]), and kurtosis (mean diffusivity and mean kurtosis [MK]) models in the differentiation of renal solid masses. Materials and Methods: A total of 81 patients (56 men and 25 women; mean age, 57 years; age range, 30-69 years) with 18 benign and 63 malignant lesions were imaged using 3T diffusion-weighted MRI. Diffusion model selection was investigated in each lesion using the Akaike information criteria. Mann-Whitney U test and receiver operating characteristic (ROC) analysis were used for statistical evaluations. Results: Goodness-of-fit analysis showed that the stretched-exponential model had the highest voxel percentages in benign and malignant lesions (90.7% and 51.4%, respectively). ADC, Ds, and MK showed significant differences between benign and malignant lesions (p < 0.05) and between low- and high-grade clear cell renal cell carcinoma (ccRCC) (p < 0.05). α was significantly lower in the benign group than in the malignant group (p < 0.05). All diffusion measures showed significant differences between ccRCC and non-ccRCC (p < 0.05) except Df and α (p = 0.143 and 0.112, respectively). α showed the highest diagnostic accuracy in differentiating benign and malignant lesions with an area under the ROC curve of 0.923, but none of the parameters from these advanced models revealed significantly better performance over ADC in discriminating subtypes or grades of renal cell carcinoma (RCC) (p > 0.05). Conclusion: Compared with conventional diffusion parameters, α may provide additional information for differentiating benign and malignant renal masses, while ADC remains the most valuable parameter for differentiation of RCC subtypes and for ccRCC grading.

Developing educational videos to inform rightly about school foodservice from kindergarten to high school: a case study

  • Gyoungok Gang;Chaewon Park;Haejin Kang;Wan Soo Hong;Yoo Kyoung Park;Sook Hee Choi;Seung Hye Kim;Jieun Choi;Jihyun Park;Hyeja Chang
    • 대한지역사회영양학회지
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    • 제29권2호
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    • pp.97-113
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    • 2024
  • Objectives: Since the enactment of the School Nutrition Act in 1981, school lunch programs in South Korea have grown quantitatively and qualitatively with a current student participation rate of 99.8%. Nonetheless, educational materials are needed to reduce misunderstanding and ignorance about school lunch programs. This study aimed to develop 3 educational videos that help students of various ages (kindergarteners/lower-grade elementary, upper-grade elementary, and secondary school, respectively), understand the school lunch program. Methods: A scenario was created, was made, and the opinions on the scenario from experts in foodservice sectors were collected. A survey was conducted to students and parents to determine topics they wanted to know about school foodservice. The final videos were produced using this information and the expert opinions. The data were analyzed using SPSS 27.0 for Mac (IBM Corp., Armonk, NY, USA); a P-value of < 0.05 was considered significant. Results: Three videos on school foodservice were developed for various age levels of students: kindergarten/lower-grade elementary, upper-grade elementary, and secondary school. Additionally, English subtitles were included for the multicultural student population. These videos, each lasting about 7 minutes, cover topics such as nutrition, hygiene, and the cultural significance of the school lunch program. The survey results showed that parents and students wanted to know the following topics about the school lunch program: "nutritionally balanced diet" (11.9%), "purchasing safe food ingredients" (10.9%), and "healthy eating habits" (9.9%). Conclusions: The developed videos will serve as valuable educational resources on school foodservice, foster a deeper understanding of the school lunch program in parents and students, and potentially address their inquiries regarding production processes, nutrition, hygiene, cultural heritage, and health.