• Title/Summary/Keyword: Radiation recall

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The Effect of Repeated Nutrition Education on Health Improvement Program by Diet Quality Index-International (DQI-I) Evaluation in Office Workers (고학력 사무직 남성을 대상으로 한 반복적인 영양교육이 만성질환 예방에 미치는 효과와 DQI-I를 이용한 식사의 질 평가)

  • Jang, Mi;Kim, Hye-Ryeon;Hwang, Myung-Ok;Paek, Yun-Mi;Choi, Tae-In;Park, Yoo-Kyoung
    • Korean Journal of Community Nutrition
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    • v.15 no.5
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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.

Effects of Nutrition Counseling on Diet and Nutritional Status of Cancer Patients on Radiotherapy (영양 상담이 방사선 치료를 받는 암환자의 식이 섭취와 영양 상태에 미치는 영향)

  • 백희영
    • Journal of Nutrition and Health
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    • v.33 no.2
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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.

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Effects of Worksite Nutrition Counseling for Health Promotion; Twelve-Weeks of Nutrition Counseling Has Positive Effect on Metabolic Syndrome Risk Factors in Male Workers (직장인 남성을 대상으로 한 12주간의 영양교육이 대사증후군 관련 인자에 미치는 영향)

  • Lee, Mi-Sun;Kang, Hae-Jin;Oh, Hye-Sun;Paek, Yun-Mi;Choue, Ryo-Won;Park, Yoo-Kyoung;Choi, Tae-In
    • Korean Journal of Community Nutrition
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    • v.13 no.1
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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.

DEVELOPMENTAL DISTURBANCE OF PERMANENT TEETH AFTER RADIOTHERAPY FOR TREATMENT OF MALIGNANT TUMOR : REPORT OF CASES (소아암 환자에서 방사선 치료 후 영구치 치근발육장애 : 증례보고)

  • Heo, Su-Kyung;Choi, Nam-Ki;Kim, Seon-Mi;Yang, Kyu-Ho
    • Journal of the korean academy of Pediatric Dentistry
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    • v.35 no.1
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    • pp.144-150
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    • 2008
  • Multimodal cancer therapy including surgery, chemotherapy, and radiotherapy could not only improve the prognosis of malignancy but also reduce the dosage and toxicity of cancer drug for treatment of malignant tumor. The effects of radiotherapy are generally localized, additive, and accumulative, and depend on dosage, site and cell sensitivity. However, in growing individuals, the dental and skeletal sequelae to radiotherapy result in dental or facial abnormalities that are irreversible : arrested root development, disturbances in enamel formation, microdontia, anodontia, altered tooth eruption and mandibular or maxillary hypoplasia. Especially, the teeth which are developing is affected according to the stage. We report three cases of developmental disturbance of permanent teeth after radiotherapy. These children had received radiotherapy for malignant tumor at the age of 3 to 4 years, in which root hypoplasia, short tapered root and early apex closure were observed. For the management of radiation caries and radiotherapy-related teeth, periodic recall check and oral hygiene instruction are required.

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Machine Learning Model to Predict Osteoporotic Spine with Hounsfield Units on Lumbar Computed Tomography

  • Nam, Kyoung Hyup;Seo, Il;Kim, Dong Hwan;Lee, Jae Il;Choi, Byung Kwan;Han, In Ho
    • Journal of Korean Neurosurgical Society
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    • v.62 no.4
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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.

Patterns in the Use and Perception of Digital Breast Tomosynthesis: A Survey of Korean Breast Radiologists (디지털 유방 토모신테시스에 대한 국내 사용 현황과 인식에 관한 설문조사 연구)

  • Eun Young Chae;Joo Hee Cha;Hee Jung Shin;Woo Jung Choi;Jihye Kim;Sun Mi Kim;Hak Hee Kim
    • Journal of the Korean Society of Radiology
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    • v.83 no.6
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    • pp.1327-1341
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    • 2022
  • Purpose To evaluate the pattern of use and the perception of digital breast tomosynthesis (DBT) among Korean breast radiologists. Materials and Methods From March 22 to 29, 2021, an online survey comprising 27 questions was sent to members of the Korean Society of Breast Imaging. Questions related to practice characteristics, utilization and perception of DBT, and research interests. Results were analyzed based on factors using logistic regression. Results Overall, 120 of 257 members responded to the survey (response rate, 46.7%), 67 (55.8%) of whom reported using DBT. The overall satisfaction with DBT was 3.31 (1-5 scale). The most-cited DBT advantages were decreased recall rate (55.8%), increased lesion conspicuity (48.3%), and increased cancer detection (45.8%). The most-cited DBT disadvantages were extra cost for patients (46.7%), insufficient calcification characterization (43.3%), insufficient improvement in diagnostic performance (39.2%), and radiation dose (35.8%). Radiologists reported increased storage requirements and interpretation time for barriers to implementing DBT. Conclusion Further improvement of DBT techniques reflecting feedback from the user's perspective will help increase the acceptance of DBT in Korea.

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

  • Hye Jeon Hwang;Hyunjong Kim;Joon Beom Seo;Jong Chul Ye;Gyutaek Oh;Sang Min Lee;Ryoungwoo Jang;Jihye Yun;Namkug Kim;Hee Jun Park;Ho Yun Lee;Soon Ho Yoon;Kyung Eun Shin;Jae Wook Lee;Woocheol Kwon;Joo Sung Sun;Seulgi You;Myung Hee Chung;Bo Mi Gil;Jae-Kwang Lim;Youkyung Lee;Su Jin Hong;Yo Won Choi
    • Korean Journal of Radiology
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    • v.24 no.8
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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.