• 대한지역사회영양학회지
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• 제15권5호
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• pp.614-624
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• 2010

The purpose of this study was to investigate the effect of 3-month nutrition education (First Time Intervention, FI) + additional 3-month nutrition education (Repeated Intervention, RI) which was performed after the 8-month followup. FI was conducted during 0-3 months and RI for 11-14 months. Ninety-two subjects completed FI program, and 38 out of 92 subjects who received FI finished the RI. Anthropometric data, dietary assessment (24hr recall) and fasting blood analysis were measured at 0 month, 3 months, 11 months and 14 months time points. After FI (3 mo), waist circumference, triglycerides, total cholesterol were significantly decreased. At 11 month follow-up, body weight, BMI, hip circumference, SBP, DBP were significantly rebounced and HDL cholesterol was significantly decreased. Therefore, the effect of short-term nutrition education was not being sustained. After the secondary nutrition intervention (14 mo), waist circumference and hip circumference were again significantly decreased. Total diet quality index-international (DQI-I) score was significantly increased in both FI group and RI group. The changes in DQI-I scores were significantly correlated with the changes in body weight (r = -0.129, p < 0.05) and counts of nutrition education (r = 0.159, p < 0.05), indicating that effective nutrition education helps improve the diet quality leading to a possible role in CVD prevention among male workers. Although a short-term intervention seems to be a success, the effect was not retained in this study. Therefore, we suggest incorporating nutrition education as a routine program for male worker at worksite.

• Journal of Nutrition and Health
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• 제33권2호
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• pp.193-201
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• 2000

This study was conducted to investigate the effectiveness of nutrition counseling on the dietary intake and nutritional status cancer patients undergoing radiotherapy treatment. The study was conducted over 6 week period and included 104 patients : 66 received nutrition counseling as the variable group of 42 male and 24 female and 38 patients received no counseling as the control group of 19 male and 19 female. Nutrition counseling was accompanied with the radiation therapy and adminstered via counseling session and distribution of printed material during radiation therapy for 6 weeks. Nutrition counseling aimed at maintaining a balanced diet and preventing weight loss of subjects, guideline used for energy and protein intake were 35kcal/kg IBW and 1.5-2.0g/kg IBW, respectively. Over the course of the study, the counseling group increased significantly in comparison to the control group's energy intake, evidenced by the counseling group's initial mean daily energy intake of 1932.0kcal, and 4 and 6 week mean energy intake values of 2046.6kcal, 2066kcal, respectively. But mean energy values of control group was 1614.3kcal at 4 week. Th energy intake per weight values and protein intake per weight values for initial, 4 and 6 week intervals for counseling group were 33.2kcal/kg, 33.7kcal/kg, 34.0kcal/kg, and 1.48g/kg, 1.58g/kg, 1.59g/kg, respectively. Based on results, nutrition counseling had positive effects on both the variety of diet and energy intake of the variable group, mostly due to an increase in dairy product and egg consumption. In addition, the percentage of counseling group patients who consumed all 5 food group increased from 48.5% to 54.5%. Sufficient energy intake and protein consumption seem to be important factors in weight loss prevention, evidenced by weight gain by subjects in the counseling group who had 36.1kcal/kg/day mean energy intake and 1.77g/kg/day mean protein intake after 4 weeks. Counseling group subjects experiencing weight loss had lower intake and 1.77g/kg/day mean protein intake after 3 weeks. Counseling group subjects experiencing weight loss had lower intakes of 29.3kcal/kg/day for energy and 1.33g/kg/day for protein during the same period. Another significant factor in weight loss prevention of the counseling group could be the variety of diet. The dietary variety scores(DVS) of both counseling and control groups differed significantly : the counseling group had a mean score of 34 while the control group of patients. At the end of the study, the mean percentage of subjects within each group having a DDS 5 was higher in the counseling group (54.5% v.s. 24.0%). In this study, nutrition counseling for cancer patients undergoing radiation therapy proved to be effective in preventing weight loss, a major complication during radiotherapy. Nutrition counseling not only increased protein and energy intake, but also had desirable effects on variety or diversity of diet.

• 대한지역사회영양학회지
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• 제13권1호
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• pp.46-61
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• 2008

The purpose of this study was to investigate the effect of nutrition counseling on improving metabolic syndrome (MS) risk factors. Sixty-eight subjects were grouped according to their numbers of MS risk factors. Subjects who have three or more risk factors of MS were defined as "High risk", subjects who have two risk factors of MS were defined as "low risk", and subjects who have below two risk factors of MS were defined as "no risk" group. All groups finished nutrition counseling every three weeks for 12 weeks. Anthropometric, dietary assessments (24 hr-recall) and blood samples were measured at 0 and 12 weeks nutrition counseling. After 12 weeks of intervention, anthropometric data (weight, BMl, body fat (%), and waist/hip ratio) were significantly decreased (p < 0.05) in all groups. Daily consumption of calorie was decreased significantly (p < 0.05) in the group of low risk and high risk. Blood level of fasting plasma glucose was significantly decreased (p < 0.001) in all groups after 12 weeks of intervention. Significantly, the fasting plasma glucose level was returned to normal range in the high risk group. The number of people who have three or more risk factors of MS (high risk group) was decreased from 25 to 12. Sum of MS Criteria decreased from 85 to 52 in the group of MS and decreased from 143 to 99 in all groups. These results indicate that nutrition counseling for male workers at the worksite proved to be helpful by reducing the risk factors of MS and thereby reducing the risk of cardiovascular disease. Continuing and systematic nutritional management programs should be developed and implemented for male workers at the worksites.

• 대한소아치과학회지
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• 제35권1호
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• pp.144-150
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• 2008

악성종양을 치료하는데 있어서 수술, 화학요법, 방사선 치료 등을 포함한 항암치료는 악성도의 증가를 방지할 뿐만 아니라 항암제의 독성과 용량을 줄여주는 역할을 한다. 방사선 치료의 효과는 일반적으로 수회에 걸쳐 조사시 종양이 더 효과적으로 파괴된다. 환자는 주로 두경부에 국소적으로, 때로는 전신에 걸쳐 방사선을 조사받게 된다. 그러나 방사선 요법의 부작용으로 구강건조증, pH가 낮은 타액의 생성, 구강미생물의 변화 등으로 인한 방사선 우식증과 미각 이상, 점막염 등 다양한 구강내 합병증을 동반하게 된다. 그리고 성장하고 있는 소아의 경우에는 발육 중인 치열과 지지구조들에 큰 영향을 줄 수 있다. 치근 발육의 장애, 법랑질 형성부전, 왜소치, 무치증, 치아맹출 장애, 하악이나 상악의 저형성 등과 같은 다양한 현상이 나타날 수 있으며 이러한 현상은 비가역적이다. 특히 발생과정 중에 있는 치아는 그 발생단계에 따라 영향을 받는다. 본 증례는 치열 발육 단계에서 국소적 혹은 전신적으로 방사선 치료를 받은 어린이에서 나타난 영구치 치근 발육장애에 대해 보고하는 바이다. 이 환자들은 생후 $3{\sim}4$세 경에 악성 종양 치료를 위해 방사선 치료를 받았고 영구치 치근의 저형성, 조기 치수 폐쇄 소견을 보였다. 방사선 조사로 인한 구강환경 변화로 인해 우식발생률이 높으므로 철저한 구강 위생교육과 불소도포 등이 필요할 것이며, 짧은 치근을 가진 치아는 동요도의 증가 여부와 관리를 위해 정기적인 방사선 촬영 및 검진이 필요하다.

• Journal of Korean Neurosurgical Society
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• 제62권4호
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• pp.442-449
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• 2019

Objective : Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides more accurate data in spine osteoporosis. However, QCT has the disadvantage of additional radiation hazard and cost. The present study was to demonstrate the utility of artificial intelligence and machine learning algorithm for assessing osteoporosis using Hounsfield units (HU) of preoperative lumbar CT coupling with data of QCT. Methods : We reviewed 70 patients undergoing both QCT and conventional lumbar CT for spine surgery. The T-scores of 198 lumbar vertebra was assessed in QCT and the HU of vertebral body at the same level were measured in conventional CT by the picture archiving and communication system (PACS) system. A multiple regression algorithm was applied to predict the T-score using three independent variables (age, sex, and HU of vertebral body on conventional CT) coupling with T-score of QCT. Next, a logistic regression algorithm was applied to predict osteoporotic or non-osteoporotic vertebra. The Tensor flow and Python were used as the machine learning tools. The Tensor flow user interface developed in our institute was used for easy code generation. Results : The predictive model with multiple regression algorithm estimated similar T-scores with data of QCT. HU demonstrates the similar results as QCT without the discordance in only one non-osteoporotic vertebra that indicated osteoporosis. From the training set, the predictive model classified the lumbar vertebra into two groups (osteoporotic vs. non-osteoporotic spine) with 88.0% accuracy. In a test set of 40 vertebrae, classification accuracy was 92.5% when the learning rate was 0.0001 (precision, 0.939; recall, 0.969; F1 score, 0.954; area under the curve, 0.900). Conclusion : This study is a simple machine learning model applicable in the spine research field. The machine learning model can predict the T-score and osteoporotic vertebrae solely by measuring the HU of conventional CT, and this would help spine surgeons not to under-estimate the osteoporotic spine preoperatively. If applied to a bigger data set, we believe the predictive accuracy of our model will further increase. We propose that machine learning is an important modality of the medical research field.

• 대한영상의학회지
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• 제83권6호
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• pp.1327-1341
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• 2022

목적 국내 디지털 유방 토모신테시스(digital breast tomosynthesis; 이하 DBT) 사용 현황 및 영상의학과 의사들의 DBT에 대한 인식 및 사용자 요구조건에 관해 알아보고자 하였다. 대상과 방법 2021년 3월 대한 유방영상의학회 회원들을 대상으로 DBT와 관련한 26개의 객관식 문항과 1개의 주관식 문항이 포함된 온라인 설문조사를 시행하였다. 설문 문항은 기본 정보, 유방촬영술 및 DBT에 대한 진료 현황, DBT 인식, 관련 연구 경험 및 관심도를 포함하였다. 결과는 로지스틱 회귀분석을 이용하여 분석하였다. 결과 총 257명의 회원 중 120명이 응답하여, 응답률은 46.7%였다. 응답자 중 67명(55.8%)이 현재 DBT를 사용하고 있는 것으로 나타났다. DBT의 전반적인 만족도는 5점 척도를 사용하여 평균 3.31점이었다. DBT 검사의 장점으로 가장 많이 응답한 것은 소환율 감소(55.8%), 병변의 명확도 향상(48.3%), 유방암 발견율 향상(45.8%)이었고, 단점으로 많이 응답한 것은 환자의 추가비용 부담46.7%), 불충분한 미세석회화 검출(43.3%), 불충분한 진단능 향상 효과(39.2%), 방사선량 증가(35.8%)였다. DBT가 더 널리 사용되지 못하는 원인으로는 영상의 저장 용량, 판독 시간 증가를 주요 요인으로 응답하였다. 결론 DBT 사용이 보다 보편화되기 위해서는 사용자 불편사항과 피드백을 반영한 향후 기술개발이 필요하겠다.

• Korean Journal of Radiology
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• 제24권8호
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• pp.807-820
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• 2023

Objective: To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial lung disease (ILD) using a deep learning-based automated software. Materials and Methods: This study included patients with ILD who underwent thin-section CT. Unmatched CT images obtained using scanners from four manufacturers (vendors A-D), standard- or low-radiation doses, and sharp or medium kernels were classified into groups 1-7 according to acquisition conditions. CT images in groups 2-7 were converted into the target CT style (Group 1: vendor A, standard dose, and sharp kernel) using a RouteGAN. ILD was quantified on original and converted CT images using a deep learning-based software (Aview, Coreline Soft). The accuracy of quantification was analyzed using the dice similarity coefficient (DSC) and pixel-wise overlap accuracy metrics against manual quantification by a radiologist. Five radiologists evaluated quantification accuracy using a 10-point visual scoring system. Results: Three hundred and fifty CT slices from 150 patients (mean age: 67.6 ± 10.7 years; 56 females) were included. The overlap accuracies for quantifying total abnormalities in groups 2-7 improved after CT conversion (original vs. converted: 0.63 vs. 0.68 for DSC, 0.66 vs. 0.70 for pixel-wise recall, and 0.68 vs. 0.73 for pixel-wise precision; P < 0.002 for all). The DSCs of fibrosis score, honeycombing, and reticulation significantly increased after CT conversion (0.32 vs. 0.64, 0.19 vs. 0.47, and 0.23 vs. 0.54, P < 0.002 for all), whereas those of ground-glass opacity, consolidation, and emphysema did not change significantly or decreased slightly. The radiologists' scores were significantly higher (P < 0.001) and less variable on converted CT. Conclusion: CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.