• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.163-176
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• 2017

The purpose of this study was to examine the anxiety, depression, uncertainty, social support, and QoL and to identify the factors influencing QoL in women with thyroid cancer. A descriptive survey was performed from April to October in 2014 with self-reporting questionnaires for depression, uncertainty, social support, and QoL. Participants were 106 women with thyroid cancer who visited a outpatient department of endocrine surgery in a hospital. Data were analyzed using SPSS 22.0. As the results of this study, the mean scores of global QoL were moderate. Anxiety was significantly influenced physical functioning, emotional functioning, and social functioning. Uncertainty was significantly influenced physical functioning and cognitive functioning. Therefore, from the results of this study, nursing practice focused on anxiety and uncertainty relieving care for female thyroid cancer patients to improving QoL. And also, in order to understand the QoL of women with thyroid cancer, it is necessary to deeply understand the QoL through qualitative and quantitative research to determine the QoL by treatment period and treatment type.

• 대한핵의학회:학술대회논문집
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• 2002.11a
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• pp.20.2-20.2
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• 2002

• 대한두경부종양학회:학술대회논문집
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• 2006.11a
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• pp.206-209
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• 2006

• Journal of the Korean Society of Radiology
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• v.81 no.5
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• pp.1164-1174
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• 2020

Purpose To evaluate a deep learning model to predict recurrence of thyroid tumor using preoperative ultrasonography (US). Materials and Methods We included representative images from 229 US-based patients (male:female = 42:187; mean age, 49.6 years) who had been diagnosed with thyroid cancer on preoperative US and subsequently underwent thyroid surgery. After selecting each representative transverse or longitudinal US image, we created a data set from the resulting database of 898 images after augmentation. The Python 2.7.6 and Keras 2.1.5 framework for neural networks were used for deep learning with a convolutional neural network. We compared the clinical and histological features between patients with and without recurrence. The predictive performance of the deep learning model between groups was evaluated using receiver operating characteristic (ROC) analysis, and the area under the ROC curve served as a summary of the prognostic performance of the deep learning model to predict recurrent thyroid cancer. Results Tumor recurrence was noted in 49 (21.4%) among the 229 patients. Tumor size and multifocality varied significantly between the groups with and without recurrence (p < 0.05). The overall mean area under the curve (AUC) value of the deep learning model for prediction of recurrent thyroid cancer was 0.9 ± 0.06. The mean AUC value was 0.87 ± 0.03 in macrocarcinoma and 0.79 ± 0.16 in microcarcinoma. Conclusion A deep learning model for analysis of US images of thyroid cancer showed the possibility of predicting recurrence of thyroid cancer.

• Tuberculosis and Respiratory Diseases
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• v.42 no.4
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• pp.594-599
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• 1995

Although papillary carcinoma of the thyroid generally follows an indolent course characterized by slow growth and the absence of distant metastases, several available reports suggest that metastasis to bone and/or lung parenchyma may occur infrequently. But pleural metastases are known to be very rare, so there have been only two case reports about the pleural metastases of papillary thyroid carcinoma in the literatures. Even the case of occult papillary thyroid carcinoma presenting as a metastatic pleural effusion has been never been reported. Recently we experienced a case with the chief complaint of dyspnea due to massive pleural effusion, the cytologic examination of which revealed the papillary carcinoma with psamomma bodies. The examination of the thyroid revealed no definite primary tumor. The total thyroidectomy was done with the plan of post-operative radioactive iodine treatment and the pathologic result confirmed the occult papillary microcarcinoma as expected. With the present case report, the extension of the clinical spectrum. of metastatic papillary carcinoma of the thyroid is expected.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4320-4325
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• 2013

This study was investigated the correlation between thyroid fine needle aspiration biopsy and serological test's concentrations. I examined fifty patients who were diagnosed with thyroid cancer from June 2012 to December 2012 in Pathology of a certain university hospital. Healthy fifty people were selected as a control group. Thyroid function tests were used as variables. In conclusion, The thyroglobulin and autoantibody was showed positive correlations in cancer groups. also Thyroglobulin Ab was showed a little correlation. If we examine this study items, we will get help in early diagnosis.

• The Korean Chronic Disease News
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• no.121
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• pp.6-7
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• 1991

• The Korean Chronic Disease News
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• no.124
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• pp.5-5
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• 1991

• 대한핵의학회:학술대회논문집
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• 1996.05a
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• pp.159-160
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• 1996

• Radioisotope journal
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• v.17 no.4
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• pp.70-75
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• 2002