• Nuclear Engineering and Technology
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• 제52권8호
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• pp.1826-1833
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• 2020

Administration of stable iodine has been considered a best measure to protect the thyroid from internal irradiation by radioiodine intake, and its efficacy on thyroid protection has been quantitatively evaluated in several simulation studies on the basis of simple iodine biokinetic models (i.e., three-compartment model). However, the new iodine biokinetic model adopted by the International Commission on Radiological Protection interprets and expresses the thyroid blocking phenomenon differently. Therefore, in this study, the new model was analyzed in terms of thyroid blocking and implemented to reassess the protective effects and to produce dosimetric data. The biokinetic model calculation was performed using computation modules developed by authors, and the results were compared with those of experimental data and prior simulation studies. The new model predicted protective effects that were generally consistent with those of experimental data, except for those in the range of stable iodine administration -72 h before radioiodine exposure. Additionally, the dosimetric data calculated in this study demonstrates a critical limitation of the three-compartment model in predicting bioassay functions, and indicated that dose assessment 1 d after exposure would result in a similar dose estimate irrespective of the administration time of stable iodine.

• 한국방사선학회논문지
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• 제18권4호
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• pp.317-325
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• 2024

본 연구는 갑상샘 초음파 영상에서 정상영상과 결절영상을 GLCM과 머신러닝을 이용하여 분류하고자 하였다. 부산 소재 S병원에 내원하여 갑상샘 초음파를 이용하여 갑상선 결절 진단받은 600명을 대상으로 연구를 진행하였다. 갑상샘 초음파 영상에서 ROI 50 X 50 픽셀 크기로 설정 하고 GLCM을 이용하여 21개의 파라메터와 4가지 각도를 사용하여 갑상샘 정상 패턴과 갑상샘 결절 패턴을 분석하였다. 분석된 자료는 MATLAB 모델 중 SVM모델과 KNN모델을 이용하여 진단 결과가 정상과 결절을 구별할 수 있도록 하였다. 그 결과 갑상샘 결절 분류율의 정확도는 SVM모델은 94%, KNN모델은 91%으로 나타났다. 두 모델 모두 90% 이상의 정확도를 나타내었는데 이는 갑상샘 정상과 갑상샘 결절의 분류를 위해 머신러닝을 이용할 경우 분류율이 우수하다는 것을 알 수 있다. ROC곡선에서도 SVM 모델에 대한 ROC 곡선은 전반적으로 KNN모델과 비교해 ROC곡선이 높으며, 이는 KNN모델보다 표본 내 성능이 높다는 결과가 나타났다. 이러한 결과를 바탕으로 SVM 모델이 갑상샘 결절 진단에서 높은 정확도를 보여주었다. 이 결과는 향후 의료 진단보조 도구로서의 연구에 기초자료로 활용될 수 있으며, 머신러닝 기술이 의료 서비스의 질적 개선에 기여할 것으로 기대된다.

• Journal of Radiation Protection and Research
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• 제19권1호
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• pp.69-80
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• 1994

공기중방사성요드 농도로부터 체내피폭선량을 간편하게 평가할 수 있는 전산프로그램 TCMI(Three-Compartment Model for iodine)를 개발하였다. 이 프로그램은 국제방사선방어위원회 권고 54(ICRP Publ. 54)의 3격실모델 및 호흡기모델에 따라 작업시간과 작업장의 공기중 방사성요드 농도로부터 갑상선부하량, 선량당량, 예탁선량당량 및 뇨를 통한 배출율을 시간의 함수로 평가한다. TCMI 코드를 이용함으로써 급성, 만성 및 급만성 등 구체적 피폭형태에 따른 갑상선부 하량과 선량당량 그리고 뇨를 통한 배출율을 평가하여 체내피폭평가의 적용성을 검토하였다. 또한 공기중 I-131 농도와 작업시간에 따른 갑상선부하량과 피폭선량을 간편하게 평가할 수 있는 식과 표를 제시하였다.

• 대한영상의학회지
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• 제81권5호
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• pp.1164-1174
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• 2020

목적 수술 전 초음파 검사에서 갑상선 종양의 재발을 예측할 수 있는 심층 학습 모델을 개발하고자 한다. 대상과 방법 수술 전 초음파에서 병리학적으로 확진된 갑상선 수술을 받은 229명의 환자(남성:여성 = 42:187, 평균 연령, 49.6세)의 대표적인 초음파 이미지를 포함시켰다. 각각 대표적인 횡축 또는 종축 초음파 이미지가 선택되었다. 신경 네트워크용 Python 2.7.6 및 Keras 2.1.5, convolutional neural network을 사용한 심층 학습이 사용되었다. 재발한 환자와 재발이 없는 환자의 임상 및 조직학적 특징을 비교하였다. 그룹 간의 심층 학습 모델의 receiver operating characteristic curve 곡선 아래의 영역은 재발 갑상선암을 예측하기 위한 심층 학습 모델의 예측에 사용되었다. 결과 전체 환자 229명 중 49명이 종양 재발(21.4%)을 보였다. 종양의 크기, 다원성은 재발이 없는 군과 재발 군에서 유의한 차이가 있었다(p < 0.05). 재발성 갑상선암 예측을 위한 심층 학습 모델의 전반적인 평균 area under the curve (이하 AUC) 값은 0.9 ± 0.06이었다. 평균 AUC는 macrocarcinoma에서 0.87 ± 0.03, microcarcinoma에서 0.79 ± 0.16이었다. 결론 갑상선암의 초음파 이미지를 이용한 심층 학습 모델로 갑상선암 재발의 예측 모델 구축의 가능성을 보여주었다.

• Korean Journal of Radiology
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• 제20권1호
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• pp.166-170
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• 2019

Objective: To establish a cost-effective and easily available phantom for training residents in ultrasound-guided fine needle thyroid nodule targeting punctures. Materials and Methods: Tofu, drinking straws filled with coupling gel, a urine tube, and 21-gauge needles were used to generate a phantom thyroid with nodules for training. Twelve radiology residents were involved in the study. The puncture success rates were recorded and compared before and after phantom training using the Wilcoxon signed-rank test. Results: On ultrasonography, tofu mimicked the texture of the thyroid. Drinking straws filled with coupling gel mimicked vessels. The urine tube filled with air mimicked the trachea, and 21-gauge needles mimicked small nodules in the transverse section. The entire phantom was similar to the structure of the thyroid and surrounding tissues. The puncture success rates of radiology residents were significantly increased from 34.4 ± 14.2% to 66.7 ± 19.5% after training (p = 0.003). The phantom was constructed in approximately 10 minutes and materials cost less than CNY 10 (approximately $ 1.5) at a local store. Conclusion: The tofu model was cost-effective, easily attainable, and effective for training residents in ultrasound-guided fine needle thyroid nodule targeting punctures in vitro.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6385-6390
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• 2012

A number of studies have been conducted to explore the association of XRCC1 polymorphisms with thyroid cancer risk, but the results have been inconsistent. Thus we performed the present meta-analysis to clarify this issue based on all of the evidence available to date. Relevant studies were retrieved by searching PubMed and statistical analysis conducted using Stata software. Nine studies were included in this meta-analysis (1,620 cases and 3,557 controls). There were 6 studies (932 cases and 2,270 controls) of the Arg194Trp polymorphism, 7 studies (1432 cases and 3356 controls) of the Arg280His polymorphism and 9 studies (1,620 cases and 3,557 controls) for the Arg399Gln polymorphism. No association of XRCC1 Arg194Trp, Arg280His and Arg399Gln polymorphism with thyroid cancer risk was observed in the overall analysis. However, subgroup analysis revealed: 1) an elevated risk in aa vs AA analysis (OR=2.03, 95%CI= 1.24-3.31) and recessive genetic model analysis (OR=1.93, 95%CI= 1.20-3.08) in the larger sample size trials for XRCC1 Arg194Trp polymorphism; 2) a decreased thyroid cancer risk on subgroup analysis based on ethnicity in Aa vs AA analysis (OR=0.84, 95%CI= 0.72-0.98) and in a dominant genetic model (OR=0.84, 95%CI= 0.72-0.97) in Caucasian populations for the XRCC1 Arg399Gln polymorphism; 3) a decreased thyroid cancer risk on subgroup analysis based on design type in Aa vs AA analysis (OR=0.72, 95% CI= 0.54-0.97) among the PCC trials for the Arg399Gln polymorphism. Our results suggest that the XRCC1 Arg399Gln polymorphism may be associated with decreased thyroid cancer risk among Caucasians and XRCC1 Arg194Trp may be associated with a tendency for increased thyroid cancer risk in the two larger sample size trials.

• Nutrition Research and Practice
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• 제10권3호
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• pp.336-341
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• 2016

BACKGROUND/OBJECTIVES: The incidence of thyroid cancer has increased in many countries, including Korea. International differences in the incidence of thyroid cancer may indicate a role of diet, but findings from previous studies are inconclusive. Therefore, we aimed to investigate the roles of nutrients in thyroid cancer risk in Korean women. SUBJECTS/METHODS: We conducted a case-control study comprising 113 cases and 226 age-matched controls. Nutrient intake was assessed using a validated food frequency questionnaire, and the association between nutrient intake and thyroid cancer risk was estimated using a logistic regression model. RESULTS: We found that high calcium intake was associated with a reduced risk of thyroid cancer (OR [95% CI] = 0.55 [0.35-0.89]). Significant associations were observed among subjects who were older than 50 years, had low BMI, and had low calorie intake. However, other nutrients included in this study did not show any significant associations with thyroid cancer risk. CONCLUSION: This study suggested a possible protective effect of calcium on thyroid cancer risk. Well-designed prospective studies are required to confirm these findings.

• 한국치위생학회지
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• 제20권3호
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• pp.269-279
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• 2020

Objectives: Previous studies have reported inconsistent findings in the association between dental diagnostic X-ray exposure and thyroid cancer. This study was a meta-analysis of case-control studies evaluating the association between exposure to dental radiation and the thyroid cancer risk. Methods: We searched the PubMed and EMBASE databases to identify studies on dental radiation and thyroid cancer risks that were published up to September 2018. Quality of studies was assessed using the Newcastle-Ottawa scale. A fixed-effects model was used to estimate pooled odds ratios (ORs) and 95% confidence intervals (CIs) using STATA 14.0. Potential publication biases were evaluated using Egger's test and Begg's funnel plot. Results: From the literature search, we included six case-control studies in this meta-analysis. The meta-analysis using the fixed-effects model found that dental X-ray exposure was associated with 2.34 times increased risk for thyroid cancer (OR=2.34, 95% CI=1.79-3.21). There was no heterogeneity in the data (p=0.662, I² =0%). Egger's test showed that there was no publication bias (p=0.532). Conclusions: This meta-analysis confirmed the association of dental X-ray exposure and thyroid cancer risk. The current results underscore the importance of applying safety regulations at dental clinics to protect thyroid glands during dental radiography examinations.

• Medical Lasers
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• 제10권1호
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• pp.37-44
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• 2021

Background and Objectives Hypothyroidism is the most common endocrine disease. On the other hand, there is no treatment that can improve the thyroid function. Low-level laser therapy (LLLT) can improve the cellular activity. The effect of hypothyroidism is not obvious. This study examined the effects of LLLT on the thyroid gland function of a propylthiouracil (PTU)-induced hypothyroidism mouse model. Materials and Methods Twenty-five male ICR mice were distributed into five groups of five animals each: Negative control (none PTU animal) and positive control (PTU animal) of unirradiated animals, and three experimental groups with LLLT (3J, 6J, and 12J). Each mouse was exposed to a distinct dose of a 632-nm laser once a week for three rounds. The positive control group and three LLLT groups were induced into a hypothyroidism state by PTU administration. The animals' thyroid-stimulating hormone and thyroxine levels were measured using an ELISA kit, and their thyroid tissue was harvested and analyzed after sacrifice at the end of the experiment. The hormone level and morphological changes in the tissue of the five groups were compared. Results The thyroid hormone levels in the control group and LLLT groups were similar. On the other hand, the thyroid tissue of the LLLT groups showed some morphological changes that were similar to those of iodine deficiency thyroid. Conclusion LLLT did not affect the thyroid gland function in PTU-induced hypothyroidism mice.

• Asian Pacific Journal of Cancer Prevention
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• 제16권16호
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• pp.7111-7115
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• 2015

Background: The aim of the meta-analysis was to derive a more precise assessment of the association between p16 promoter methylation and thyroid cancer risk. Materials and Methods: The PubMed, Web of Science databases and Chinese CNKI were searched for relevant articles. Ultimately, seventeen case-control studies were included with a total of 804 thyroid cancer cases and 487 controls analysis by R Software (R version 3.1.2) including meta. Crude odds ratios with 95% confidence intervals were calculated using the random-effects model which were used to assess the strength of relationship between p16 methylation and lung carcinogenesis. Funnel plots were carried out to evaluate publication bias. Results: The meta-analysis results showed that the frequency of p16 promoter methylation in cancer tissue/blood was significantly higher than that normal tissue/blood (OR=5.46, 95%CI 3.12-9.55, P<0.0001) by random effects model with small heterogeneity. Conclusions: Thus, p16 promoter methylation may be associated with thyroid cancer risk.