• 제목/요약/키워드: Medical model

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Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell Carcinoma

  • Minjae Kim;Jeong Hyun Lee;Leehi Joo;Boryeong Jeong;Seonok Kim;Sungwon Ham;Jihye Yun;NamKug Kim;Sae Rom Chung;Young Jun Choi;Jung Hwan Baek;Ji Ye Lee;Ji-hoon Kim
    • Korean Journal of Radiology
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    • 제23권11호
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    • pp.1078-1088
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    • 2022
  • Objective: To develop and validate a model using radiomics features from apparent diffusion coefficient (ADC) map to diagnose local tumor recurrence in head and neck squamous cell carcinoma (HNSCC). Materials and Methods: This retrospective study included 285 patients (mean age ± standard deviation, 62 ± 12 years; 220 male, 77.2%), including 215 for training (n = 161) and internal validation (n = 54) and 70 others for external validation, with newly developed contrast-enhancing lesions at the primary cancer site on the surveillance MRI following definitive treatment of HNSCC between January 2014 and October 2019. Of the 215 and 70 patients, 127 and 34, respectively, had local tumor recurrence. Radiomics models using radiomics scores were created separately for T2-weighted imaging (T2WI), contrast-enhanced T1-weighted imaging (CE-T1WI), and ADC maps using non-zero coefficients from the least absolute shrinkage and selection operator in the training set. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of each radiomics score and known clinical parameter (age, sex, and clinical stage) in the internal and external validation sets. Results: Five radiomics features from T2WI, six from CE-T1WI, and nine from ADC maps were selected and used to develop the respective radiomics models. The area under ROC curve (AUROC) of ADC radiomics score was 0.76 (95% confidence interval [CI], 0.62-0.89) and 0.77 (95% CI, 0.65-0.88) in the internal and external validation sets, respectively. These were significantly higher than the AUROC values of T2WI (0.53 [95% CI, 0.40-0.67], p = 0.006), CE-T1WI (0.53 [95% CI, 0.40-0.67], p = 0.012), and clinical parameters (0.53 [95% CI, 0.39-0.67], p = 0.021) in the external validation set. Conclusion: The radiomics model using ADC maps exhibited higher diagnostic performance than those of the radiomics models using T2WI or CE-T1WI and clinical parameters in the diagnosis of local tumor recurrence in HNSCC following definitive treatment.

Segmenting Inpatients by Mixture Model and Analytical Hierarchical Process(AHP) Approach In Medical Service (의료서비스에서 혼합모형(Mixture model) 및 분석적 계층과정(AHP)를 이용한 입원환자의 시장세분화에 관한 연구)

  • 백수경;곽영식
    • Health Policy and Management
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    • 제12권2호
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    • pp.1-22
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    • 2002
  • Since the early 1980s scholars have applied latent structure and other type of finite mixture models from various academic fields. Although the merits of finite mixture model are well documented, the attempt to apply the mixture model to medical service has been relatively rare. The researchers aim to try to fill this gap by introducing finite mixture model and segmenting inpatients DB from one general hospital. In section 2 finite mixture models are compared with clustering, chi-square analysis, and discriminant analysis based on Wedel and Kamakura(2000)'s segmentation methodology schemata. The mixture model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture model is to unfix the sample, to Identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. In section 3 and 4 we illustrate results of segmenting 4510 patients data including menial and ratio scales. And then, we show AHP can be identify the attractiveness of each segment, in which the decision maker can select the best target segment.

A Study on Commercial Power of Traditional Market

  • Baik, Key-Young;Youn, Myoung-Kil
    • East Asian Journal of Business Economics (EAJBE)
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    • 제4권2호
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    • pp.1-11
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    • 2016
  • This study investigated commercial power theory of traditional market through the analysis of literature review. Consumers' store selection models are made up a theory based on normative hypothesis, theory of mutual reaction, utility function estimation model, and cognitive-behavioral model. Detailed models are as follows. Normative hypothesis based theory is divided into Reilly's retail gratification theory and Converse's revised retail g ratification theory. Interaction theory is composed of Huff's probability gratification theory, MCI model and Multi-nominal Logit Model (MNL model). There are four models in retail organization position theory such as central place theories, single store position theory, multi store position - assign model, and retail growth potential model. In case of single store position theory, theoretical and empirical techniques have developed for a decision to optimum single store position. Those are like these, a check list, the most simple and systematic method, analogy, and microanalysis technique. Aforementioned models are theoretical and mathematical commercial power measurement and/or model. The study has rather limitations because the variation factors included in formula are only a part of actual commercial power. Therefore, further study shall be made continuously to commercial power areas and variables.

Pill Identification Algorithm Based on Deep Learning Using Imprinted Text Feature (음각 정보를 이용한 딥러닝 기반의 알약 식별 알고리즘 연구)

  • Seon Min, Lee;Young Jae, Kim;Kwang Gi, Kim
    • Journal of Biomedical Engineering Research
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    • 제43권6호
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    • pp.441-447
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    • 2022
  • In this paper, we propose a pill identification model using engraved text feature and image feature such as shape and color, and compare it with an identification model that does not use engraved text feature to verify the possibility of improving identification performance by improving recognition rate of the engraved text. The data consisted of 100 classes and used 10 images per class. The engraved text feature was acquired through Keras OCR based on deep learning and 1D CNN, and the image feature was acquired through 2D CNN. According to the identification results, the accuracy of the text recognition model was 90%. The accuracy of the comparative model and the proposed model was 91.9% and 97.6%. The accuracy, precision, recall, and F1-score of the proposed model were better than those of the comparative model in terms of statistical significance. As a result, we confirmed that the expansion of the range of feature improved the performance of the identification model.

Inhibitory Effect of Carnosol on Phthalic Anhydride-Induced Atopic Dermatitis via Inhibition of STAT3

  • Lee, Do Yeon;Hwang, Chul Ju;Choi, Ji Yeon;Park, Mi Hee;Song, Min Ji;Oh, Ki Wan;Son, Dong Ju;Lee, Seung Hwa;Han, Sang Bae;Hong, Jin Tae
    • Biomolecules & Therapeutics
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    • 제25권5호
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    • pp.535-544
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    • 2017
  • Carnosol is a phenolic antioxidant present in rosemary (Rosmarinus officinalis). It is known for anti-inflammatory effects, analgesic activity and anti-cancer effects. However, no study has been dedicated yet to its effect on atopic dermatitis (AD). Here, we show that carnosol effectively inhibited LPS-induced nitric oxide (NO) generation and expression of inflammatory marker proteins (iNOS and COX-2) in RAW 264.7 cells. In addition, carnosol effectively inhibits the phosphorylation of STAT3 and DNA binding activity in RAW 264.7 cells. Pull down assay and docking model analysis showed that carnosol directly binds to the DNA binding domain (DBD) of STAT3. We next examined the anti-atopic activity of carnosol ($0.05{\mu}g/cm^2$) using 5% Phthalic anhydride (PA)-induced AD model in HR1 mice. Carnosol treatment significantly reduced 5% PA-induced AD like skin inflammation in skin tissues compared with control mice. Moreover, carnosol treatment inhibits the expression of iNOS and COX-2 in skin tissue. In addition, the levels of $TNF-{\alpha}$, $IL-1{\beta}$, and Immunoglobulin-E in blood serum was significantly decreased in carnosol treated mice compared with those of 5% PA treated group. Furthermore, the activation of STAT3 in skin tissue was decreased in carnosol treated mice compared with control mice. In conclusion, these findings suggest that carnosol exhibited a potential anti-AD activity by inhibiting pro-inflammatory mediators through suppression of STAT3 activation via direct binding to DBD of STAT3.

Recommendations for the Successful Design and Implementation of Competency-Based Medical Education in Korea (한국에서 역량바탕의학교육의 성공적인 실행을 위한 제언)

  • Yoon, Bo Young;Choi, Ikseon;Kim, Sejin;Park, Hyojin;Ju, Hyunjung;Rhee, Byoung Doo;Lee, Jong-Tae
    • Korean Medical Education Review
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    • 제17권3호
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    • pp.110-121
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    • 2015
  • Competency-based medical education (CBME) is an outcome-oriented curriculum model for medical education that organizes learning activities and assessment methods according to defined competencies as the learning outcomes of a given curriculum. CBME emerged to address the accountability of medical education in response to growing concerns about the patient safety in North America in the 1970s, and the number of medical schools adopting CBME has dramatically increased since 1990. In Korea, CBME has been under consideration as an alternative curriculum model to reform medical education since 2006. The purpose of this paper is three-fold: (1) to review the literature on CBME to identify the challenges and benefits reported in North America, (2) to summarize the process and experiences of planning and implementing CBME at Inje University College of Medicine, and finally (3) to provide recommendations for Korean medical schools to be better prepared for the successful adoption of CBME. In conclusion, one of the key factors for successful CBME implementation in Korea is how well an individual school can modify the current curriculum and rearrange the existing resources in a way that will enhance students' competencies while maximizing the strengths of the school's existing curriculum.

Transgene Expression of Biologically Active Human Follicle-Stimulating Hormone in Milk and Histological Analysis

  • Myoung-Ok Kim;Kil-Soo Kim;Eun-Ju Lee;Sung-Hyun Kim;Jun-Hong Park;Kyoungin-Cho;Boo-Kyung Jung;Hee-Chul Kim;Sol-ha Hwang
    • Proceedings of the KSAR Conference
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    • 한국동물번식학회 2004년도 춘계학술발표대회
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    • pp.214-214
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    • 2004
  • Follicle stimulating hormone (FSH) is a pituitary glycoprotein composed of two post translationally modified subunits, which must properly assemble to be biologically active. We developed a transgenic (TG) mouse model that overexpresses the human Follicle-Stimulating hormone (FSH) -subunit under the bovine -casein promoter, displaying in females an excessive levels express in mammary gland. (omitted)

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Mini-Pig Model Simulating Radiation Accidents for Evaluation of Acute Radiation Syndrome

  • Lee, Seung-Sook;Jang, Won-Suk;Kim, Jin;Ryoo, Baek-Youl;Lee, Jae-Chul;Kim, Mi-Suk;Ji, Young-Hoon;Lee, Sun-Joo;Jeon, Kwang-Hye;Lee, Jung-Eun;Lee, Hyun-Jung;Kim, Min-Suk;Koh, Jae-Soo;Cho, Soo-Yeon;Jang, Yoon-Hwan;Lim, Sang-Moo
    • Proceedings of the Korean Society of Veterinary Pathology Conference
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    • 한국수의병리학회 2005년도 Proceedings of The 2nd Asian Society of Veterinary Pathology Symposium(Vol.2) and 2005 Annual Meeting of The Korean Society of Veterinary Pathology(Vol.9)
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    • pp.80-81
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    • 2005
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