• 제목/요약/키워드: area under curve

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Texture Analyzer (TA)를 이용한 화장품 크림의 In Vivo 끈적임 평가법의 최적화 (Optimization of In Vivo Stickiness Evaluation for Cosmetic Creams Using Texture Analyzer)

  • 류주연;배정은;강내규
    • 대한화장품학회지
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    • 제46권4호
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    • pp.371-382
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    • 2020
  • 화장품의 사용감을 관계 있는 물성의 측정을 통해 정량화하려는 시도가 이어져오고 있다. 그 중 끈적임은 texture ananlyzer를 이용하여 수직 힘을 측정하는 방식이 대표적이며, 시간에 따른 수직 힘의 그래프에서 음의 면적인 area under curve (AUC)와 상관관계를 갖는 것으로 알려져 있다. 최근 노르망디 대학에서는 이러한 특성에 피부의 특성을 함께 고려하여 TA를 이용한 in vivo 끈적임 평가법을 개발하였다[8]. 본 연구에서는 이를 확장하여 화장품 크림의 in vivo 끈적임 평가법을 최적화하고자 하였다. 페이셜 크림 5 종을 대상으로 크림의 도포량 및 도포 횟수, 탐침의 모양과 소재를 바꾸어 보면서 실험을 진행하였고, 관능 평가 결과를 기준으로 가장 부합하는 조건을 최적의 평가법으로 설정하였다. 그 결과, 3.4 cm의 원 내부에 70 μL의 크림을 7 s 동안 10 회 문지르고 측정하는 방식이 가장 적합한 것으로 판단되었다. 탐침의 경우, 원기둥형보다 구형의 탐침이 재현성이 높게 나타나 구형의 금속 탐침을 택하였다. 최적의 평가법을 확보하여 10 인의 피험자를 대상으로 인체 평가를 진행한 결과, 사람에 따른 절대값에는 차이가 있으나 AUC의 순위는 모두 같게 얻어졌다. 마지막으로 AUC의 끈적임 표준화의 시도로 PVP를 표준 물질로 설정하여 농도 별로 AUC를 측정하고, 5종의 크림 별 끈적임 인지율을 확인하여 AUC와 끈적임의 상관관계에 대해 알아보았다.

65세 이상 고령자에서 대사증후군 예측을 위한 지질비율 지표의 유용성 비교 (Comparison of the Usefulness of Lipid Ratio Indicators for Prediction of Metabolic Syndrome in the Elderly Aged 65 Years or Older)

  • 신경아;김은재
    • 한국융합학회논문지
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    • 제13권1호
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    • pp.399-408
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    • 2022
  • 본 연구에서는 65세 이상 고령자를 대상으로 대사증후군 진단을 위한 지질비율 지표의 유용성을 비교하고자 하였다. 2018년 1월부터 2020년 12월까지 서울지역 종합병원에서 건강검진을 받은 65세 이상 1,464명을 대상으로 하였다. 혈액검사를 통해 혈장 동맥경화 지수를 포함한 지질비율 지표를 측정하였다. 지질비율 지표의 사분위수에 따른 대사증후군 유병률은 로지스틱 회귀분석으로 확인하였다. 또한 수신자 조작 특성(receiver operating characteristic, ROC) 곡선으로 지질비율 지표의 대사증후군 예측능력과 절단값을 추정하였다. 동맥경화 지수와 허리둘레의 상관성이 남녀 모두에서 가장 높았으며(r=0.278, p<0.001 vs r=0.252, p<0.001), 지질비율 지표는 1사분위수와 비교하여 4사분위수에서 대사증후군 발병률이 높았다. 혈장 동맥경화 지수는 다른 지질비율 지표보다 ROC 곡선 아래의 면적(area under the ROC curve; AUC)값이 남녀 각각 0.826(95% CI=0.799-0.850), 0.852(95% CI=0.820-0.881)로 가장 높게 나타났으며, 최적 절단값은 남녀 모두 0.44였다(p<0.001). 따라서 지질비율 지표 중 혈장 동맥경화 지수는 65세 이상 고령자의 대사증후군 진단에 가장 유용한 지표로 나타났다.

간 섬유화 단계 평가를 위한 회색조 초음파 영상 기반 텍스처 분석 (Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis)

  • 박언주;김승호;박상준;백태욱
    • 대한영상의학회지
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    • 제82권1호
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    • pp.116-127
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    • 2021
  • 목적 간 섬유화 단계 평가를 위한 회색조 초음파 영상 기반 텍스처 분석 측정 변수들의 진단적 유용성에 대해 평가한다. 대상과 방법 간 회색조 초음파 검사를 시행한 총 167명의 환자를 대상으로 하였다. 텍스처 분석은 한 명의 의사가 전용 소프트웨어를 이용하여 시행하였으며 3, 5, 6, 7, 8번 간 분절에 20픽셀에 해당하는 원형 관심 영역을 지정하여 측정하였다. 간 섬유화 정도에 대한 표준 품으로는 fibrosis-4 (이하 FIB-4 index)를 사용하였다. 산출된 텍스처 변수들과 간의 섬유화 정도의 비교는 t-검정과 Mann-Whitney U 검정을 사용하였으며, 진단적으로 유의한 변수들에 대하여 수신자 운영 특성 곡선의 곡선 하 면적(area under the receiver operating characteristic curve)으로 진단능을 평가하였다. 결과 연구에 포함된 환자는 정상군(FIB-4 < 1.45, n = 50), 경도(1.45 ≤ FIB-4 ≤ 2.35, n = 37), 중등도(2.35 < FIB-4 ≤ 3.25, n = 27)와 중증 간 섬유화군(FIB-4 > 3.25, n = 53)으로 구분되었다. 간의 5번 분절에서 왜도는 정상군과 경도군 사이에서 통계적으로 유의한 차이를 보였다(각각 0.2392 ± 0.3361, 0.4134 ± 0.3004, p = 0.0109). 정상군과 경도군을 구별하기 위한 왜도의 곡선 하 면적은 0.660 (95% confidence interval, 0.551-0.758) 이었으며, 추정 정확도, 민감도, 특이도는 각각 64%, 87%, 48%로 산출되었다. 결론 왜도는 5번 간 분절에서 정상군과 경도 섬유화군을 구분하는 데 유의한 차이를 보였다.

Ultrafast MRI and T1 and T2 Radiomics for Predicting Invasive Components in Ductal Carcinoma in Situ Diagnosed With Percutaneous Needle Biopsy

  • Min Young Kim;Heera Yoen;Hye Ji;Sang Joon Park;Sun Mi Kim;Wonshik Han;Nariya Cho
    • Korean Journal of Radiology
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    • 제24권12호
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    • pp.1190-1199
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    • 2023
  • Objective: This study aimed to investigate the feasibility of ultrafast magnetic resonance imaging (MRI) and radiomic features derived from breast MRI for predicting the upstaging of ductal carcinoma in situ (DCIS) diagnosed using percutaneous needle biopsy. Materials and Methods: Between August 2018 and June 2020, 95 patients with 98 DCIS lesions who underwent preoperative breast MRI, including an ultrafast sequence, and subsequent surgery were included. Four ultrafast MRI parameters were analyzed: time-to-enhancement, maximum slope (MS), area under the curve for 60 s after enhancement, and time-to-peak enhancement. One hundred and seven radiomic features were extracted for the whole tumor on the first post-contrast T1WI and T2WI using PyRadiomics. Clinicopathological characteristics, ultrafast MRI findings, and radiomic features were compared between the pure DCIS and DCIS with invasion groups. Prediction models, incorporating clinicopathological, ultrafast MRI, and radiomic features, were developed. Receiver operating characteristic curve analysis and area under the curve (AUC) were used to evaluate model performance in distinguishing between the two groups using leave-one-out cross-validation. Results: Thirty-six of the 98 lesions (36.7%) were confirmed to have invasive components after surgery. Compared to the pure DCIS group, the DCIS with invasion group had a higher nuclear grade (P < 0.001), larger mean lesion size (P = 0.038), larger mean MS (P = 0.002), and different radiomic-related characteristics, including a more extensive tumor volume; higher maximum gray-level intensity; coarser, more complex, and heterogeneous texture; and a greater concentration of high gray-level intensity. No significant differences in AUCs were found between the model incorporating nuclear grade and lesion size (0.687) and the models integrating additional ultrafast MRI and radiomic features (0.680-0.732). Conclusion: High nuclear grade, larger lesion size, larger MS, and multiple radiomic features were associated with DCIS upstaging. However, the addition of MS and radiomic features to the prediction model did not significantly improve the prediction performance.

인지기능 저하평가를 위한 MR 영상 소견 조합의 진단능 (Diagnostic Performance Using a Combination of MRI Findings for Evaluating Cognitive Decline)

  • 변진영;이민경;정소령
    • 대한영상의학회지
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    • 제85권1호
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    • pp.184-196
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    • 2024
  • 목적 인지기능 저하를 진단하기 위해서 자기공명영상을 이용한 영상 소견의 진단능을 평가하였다. 대상과 방법 총 138명의 주관적인 인기지능 저하를 호소하며, MRI 검사를 시행한 환자를 대상으로 하였다. 이 환자 그룹은 신경정신학적 평가를 통해 알츠하이머군과 비알츠하이머군으로 분류되었다. 우리는 이들의 white matter hyperintensity와 cerebral microbleed를 평가하였으며, Kruskal- Wallis test를 통해 그룹 간의 비교를, receiver operating characteristic (이하 ROC)를 통해 영상학적 소견의 진단능을 평가하였다. 결과 인지기능 정상인 경우와 경도인지장애 환자와 비교해서 알츠하이머 환자에서 엽 혹은 심부 미세출혈이 빈번하게 관찰되었으며, 심한 심부 혹은 뇌실주위, 전체 백질 신호강도 또한 인지기능 정상에 비해서 알츠하이머 환자에서 많이 관찰되었다. 알츠하이머 환자와 다른 환자 그룹(정상 혹은 경도인지장애)을 비교할 때 엽미세출혈과 뇌실주위 뇌백질 신호강도 증가가 같이 존재하는 경우 가장 높은 진단능을 보였다(area under the ROC curve = 0.702[95% 신뢰구간: 0.599-0.806], p < 0.001). 결론 자기공명영상에서 확인한 영상 소견을 바탕으로 인지기능 저하의 진단능을 평가하였다. 인지기능 저하의 진단에 있어서 엽미세출혈과 뇌실주위 뇌백질 신호강도 증가가 같이 존재하는 경우에 높은 진단능을 보였으며, 이러한 소견을 바탕으로 인지기능 저하를 진단하는 데 있어 영상 소견이 도움을 줄 수 있을 것이라는 가능성을 보여주었다.

Selecting Protected Area Using Species Richness

  • Kwon, Hyuksoo;Kim, Jiyoen;Seo, Changwan
    • 한국환경생태학회지
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    • 제29권1호
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    • pp.14-20
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    • 2015
  • We created species richness maps of mammals, birds and plants using "Nnational Ecosystem Survey" data and identified correlations between species richness maps of each taxa. We examine the distribution of species richness of each taxa and calculated conservation priority rank through plotting species-area curves using an additive benefit function in Zonation. The conclusions of this study are as follows. First, plant showed high species richness in Gangwon province and Baekdudaegan, and mammals showed high species richness at eastern slope of Baekdudaegan in Gangwon province unusually and the species richness of mammals distributed equally except Gyeonggi and Chungnam province. However, birds showed high species richness in the west costal because the area is the major route of winter migratory birds. Second, correlation of each taxa's distribution is not significant. Correlation between mammals and birds is positive but correlations between birds and others are negative. Because mammals inhabit in forest but birds mostly live in coastal wetlands and rivers. Therefore, bird's habitats are not shared with other habitats. Third, the probability of mammals occurrence is very low under 25% in species-area curve, others increase proportionally to area. Birds increase dramatically richness at 10% because bird's habitat is concentrated in coastal wetlands and rivers. Plants increased gently species richness due to large forest in Gangwon province. We can calculate the predicted number of species in curves and plan various conservation strategies using the marginal number of species. Finally, high priority ranks for conservation distributed mainly in Gangwon province and Baekdudaegan. When we compared with priority map and terrestrial national parks, the parks were evaluated as high priority ranks. However, the rank of parks away from Baekdudaegan was low. This study has the meaning of selecting conservation priority area using National Ecosystem Survey. In spite of the omission of survey data in national parks and Baekdudaegan, the results were good. Therefore, the priority rank method using species distribution models is useful to selecting protected areas and improving conservation plans. However, it is needed to select protected areas considering various evaluation factors, such as rarity, connectivity, representativeness, focal species and so on because there is a limit to select protected area only using species richness.

불면증 최소스크리닝척도의 심리측정적 특성과 적합성 검증 (Psychometric Properties of Korean Minimal Insomnia Screening Scale)

  • 김인자;김성재;김범종;최희정
    • 대한간호학회지
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    • 제42권6호
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    • pp.853-860
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    • 2012
  • Purpose: The purposes of this study were to develop a Minimal Insomnia Screening Scale for Korean adults (KMISS) and to evaluate psychometric properties and discriminant ability of the developed scale. Methods: Data from a cross-sectional survey of 959 Korean adults were analyzed to develop the summated insomnia scale, which was evaluated in terms of reliability, validity, and discriminant ability by receiver operating characteristics (ROC) curve analysis. Results: Item-total correlations ranged between .71-.79 and Cronbach's ${\alpha}$ was .87. Adequate validity was also evident. ROC-curve analysis showed area under ROC was .87 (95% CI: .84-.90) and identified the optimal cut-off score as ${\leq}20$ (sensitivity, .83; specificity, .75; positive/negative predictive values, .40/.95). Using this cut-off score, the prevalence of insomnia in the study sample was 26.3% and most frequent among women and the oldest group. Conclusion: Data supports the psychometric properties of KMISS as a possible insomnia screening instrument. KMISS also shows promise as a convenient ultra-short screening measure of insomnia for adults and epidemiological studies in community health care settings.

GIS-based Landslide Susceptibility Mapping of Bhotang, Nepal using Frequency Ratio and Statistical Index Methods

  • Acharya, Tri Dev;Yang, In Tae;Lee, Dong Ha
    • 한국측량학회지
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    • 제35권5호
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    • pp.357-364
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    • 2017
  • The purpose of the study is to develop and validate landslide susceptibility map of Bhotang village development committee, Nepal using FR (Frequency Ration) and SI (Statistical Index) methods. For the purpose, firstly, a landslide inventory map was constructed based on mainly high resolution satellite images available in Google Earth Pro, and rest fieldwork as verification. Secondly, ten conditioning factors of landslide occurrence, namely: altitude, slope, aspect, mean topographic wetness index, landcover, normalized difference vegetation index, dominant soil, distance to river, distance to lineaments and rainfall, were derived and used for the development of landslide susceptibility map in GIS (Geographic Information System) environment. The landslide inventory of total 116 landslides was divided randomly such that 70% were used for training and remaining 30% for validating result by receiver operating characteristics curve analysis. The area under the curve were found to be greater than 0.7 indicating an acceptable susceptibility maps obtained using FR and SI methods in GIS for hilly region of Nepal.

평소 증상 기반 한열변증 설문지의 신뢰도 및 타당도 연구 (Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms: Reliability and validation Study)

  • 배광호;장은수;박기현;이영섭
    • 동의생리병리학회지
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    • 제32권5호
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    • pp.341-346
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    • 2018
  • The aims of this study were to evaluate the reliability and validity of the cold and heat pattern identification questionnaire (CHPIQ). From July 2015 to December 2015, 120 participants, university faculties, filled out CHPIQ by the way of self-reporting. Then two Korean medical doctors independently diagnosed them whether they belonged to cold pattern (CP) or not, and heat pattern (HP) or not. We evaluated the internal consistency using Cronbach's alpha coefficient, and the validity using the sensitivity and specificity through receiver operating characteristic-curve. The internal consistency (Cronbach's alpha coefficient) showed 0.754 (CP) and 0.753 (HP). The area under the curve was recorded with 0.884 (CP) and 0.786 (HP). The agreements between CHPIQ and experts were 82.8% (CP) and 72.9% (HP). The sensitivities showed 0.707 (CP) and 0.719 (HP), and the specificities were 0.935 (CP) and 0.736 (HP). This study suggests that CHPIQ is a reliable and valid instrument for estimating cold-heat pattern identification.

Usefulness of Estimated Height Loss for Detection of Osteoporosis in Women

  • Yeoum, Soon-Gyo;Lee, Jong-Hwa
    • 대한간호학회지
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    • 제41권6호
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    • pp.758-767
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    • 2011
  • Purpose: This study was done to examine the threshold value of estimated height loss at which the risk of osteoporosis increases and to verify its discriminative ability in the detection of osteoporosis. Methods: It was conducted based on epidemiological descriptive methods on 732 Korean women at a public healthcare center in Seoul between July and November 2010. ANOVA, Pearson correlation, logistic regression analysis and receiver operating characteristics (ROC) curve were used for data analysis. Results: There was an age-related correlation between bone mineral density (lumbar spine: F=37.88, p<.001; femur: F=54.27, p<.001) and estimated height loss (F=27.68, p<.001). Estimated height loss increased significantly with decreasing bone mineral density (lumbar spine: r=-.23, p<.001; femur: r=-.34, p<.001). The odds ratio for the point at which the estimated height loss affects the occurrence of osteoporosis was found to increase at a cut-off value of 2 cm and the area under ROC curve was .71 and .82 in lumbar spine and femur, respectively. Conclusion: The optimal cut-off value of the estimated height loss for detection of osteoporosis was 2 cm. Height loss is therefore a useful indicator for the self-assessment and prognosis of osteoporosis.