• Journal of Radiopharmaceuticals and Molecular Probes
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• v.1 no.2
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• pp.95-97
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• 2015

The translocator protein (TSPO) is one of the important targets for Positron Emission Tomography (PET) imaging because it is associated with brain cancer, stroke, and neurodegeneration. Recently, a novel quinoline compound with high affinity agent for the translocator protein has been developed. In this highlight review, major studies for the quinoline compound are described.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.8 no.1
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• pp.25-32
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• 2022

Malignant melanoma has an aggressive nature and high metastatic potential that result in one of the highest cancer mortality rates. Over the past three decades, primary and metastatic melanoma incidence has rapidly increased. The recent advances in diagnostic technology have shown promise, but there is still an enormous need for specific detection methods to diagnose malignant melanoma. Positron emission tomography can visualize a particular biomarker of malignant melanoma and promise a noninvasive image of micrometastases. However, the development of PET radiopharmaceuticals remains necessary for diagnosing malignant melanoma by using positron emission tomography. In this review, the history and a general overview of PET radionuclide labeled benzamide derivatives, including their radiosynthesis, in vivo characterization, and evaluation, are provided as imaging agents for malignant melanoma.

• Korean Journal of Radiology
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• v.22 no.9
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• pp.1569-1578
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• 2021

The Korean Thyroid Imaging Reporting and Data System (K-TIRADS) is an ultrasound-based risk stratification system for thyroid nodules that has been widely applied for the diagnosis and management of thyroid nodules since 2016. This review article provides an overview of the use of the K-TIRADS compared with other risk stratification systems. Moreover, this review describes the challenges in the clinical application of the K-TIRADS, as well as future development directions toward the personalized management of patients with thyroid nodules.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2287-2290
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• 2014

Background: In the past few years, a considerable number of preclinical studies have been proposed metformin as a potential anticancer agent, but some of these studies suffer from a number of methodological limitations such as assessment of cytotoxicity in the presence of supraphysiological glucose concentrations or applying suprapharmacological levels of the drug. These objections have limited the translation of published preclinical data to the clinical setting. The present study aimed to investigate direct anticancer effects of metformin on different molecular subtypes of breast cancer with pharmacological concentrations and under normoglycemic conditions in vitro. Materials and Methods: Breast cancer cell lines from luminal A, luminal B, ErbB2 and triple-negative molecular subtypes were treated with a pharmacological concentration of metformin (2mM) at a glucose concentration of 5.5mM. Time-dependant cell viability was assessed by dye exclusion assay. MTTbased cytotoxicity assays were also performed with metformin alone or in combination with paclitaxel. Results: Metformin did not show any growth inhibitory effects or time-dependant cytotoxicity on breast cancer cell lines in the presence of normal glucose concentrations at the therapeutic plasma level. No augmentation of the antineoplastic properties of paclitaxel was apparent under the tested conditions. Conclusions: Metformin is probably unable to exert cytotoxic or cytostatic effects on breast cancer subtypes at pharmacological concentrations and normal plasma glucose levels. These results highlight the importance of establishing a higher steady-state plasma concentration of metformin in the clinical setting for assessment of anticancer effects in normoglycemic patients.

• Investigative Magnetic Resonance Imaging
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• v.18 no.2
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• pp.120-132
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• 2014

Purpose : To compare dynamic susceptibility contrast imaging, diffusion-weighted imaging, and susceptibility-weighted imaging (SWI) for the differentiation of tumor recurrence and delayed radiation therapy (RT)-related changes in patients treated with RT for primary brain tumors. Materials and Methods: We enrolled 24 patients treated with RT for various primary brain tumors, who showed newly appearing enhancing lesions more than one year after completion of RT on follow-up MRI. The enhancing-lesions were confirmed as recurrences (n=14) or RT-changes (n=10). We calculated the mean values of normalized cerebral blood volume (nCBV), apparent diffusion coefficient (ADC), and proportion of dark signal intensity on SWI (proSWI) for the enhancing-lesions. All the values between the two groups were compared using t-test. A multivariable logistic regression model was used to determine the best predictor of differential diagnosis. The cutoff value of the best predictor obtained from receiver-operating characteristic curve analysis was applied to calculate the sensitivity, specificity, and accuracy for the diagnosis. Results: The mean nCBV value was significantly higher in the recurrence group than in the RT-change group (P=.004), and the mean proSWI was significantly lower in the recurrence group (P<.001). However, no significant difference was observed in the mean ADC values between the two groups. A multivariable logistic regression analysis showed that proSWI was the only independent variable for the differentiation; the sensitivity, specificity, and accuracy were 78.6% (11 of 14), 100% (10 of 10), and 87.5% (21 of 24), respectively. Conclusion: The proSWI was the most promising parameter for the differentiation of newly developed enhancing-lesions more than one year after RT completion in brain tumor patients.

• Progress in Medical Physics
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• v.24 no.1
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• pp.76-83
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• 2013

Previous studies about effect of respiratory motion on diagnostic imaging and radiation therapy have been performed by monitoring external motions but these can not reflect internal organ motion well. The aim of this study was to develope the artificial pulmonary nodule able to perform non-invasive implantation to dogs in the thorax and to evaluate applicability of the model to respiratory motion studies on PET image acquisition and radiation delivery by phantom studies. Artificial pulmonary nodule was developed on the basis of 8 Fr disposable gastric feeding tube. Four anesthetized dogs underwent implantation of the models via trachea and implanted locations of the models were confirmed by fluoroscopic images. Artificial pulmonary nodule models for PET injected $^{18}F$-FDG and mounted on the respiratory motion phantom. PET images of those acquired under static, 10-rpm- and 15-rpm-longitudinal round motion status. Artificial pulmonary nodule models for radiation delivery inserted glass dosemeter and mounted on the respiratory motion phantom. Radiation delivery was performed at 1 Gy under static, 10-rpm- and 15-rpm-longitudinal round motion status. Fluoroscpic images showed that all models implanted in the proximal caudal bronchiole and location of models changed as respiratory cycle. Artificial pulmonary nodule model showed motion artifact as respiratory motion on PET images. SNR of respiratory gated images was 7.21. which was decreased when compared with that of reference images 10.15. However, counts of respiratory images on profiles showed similar pattern with those of reference images when compared with those of static images, and it is assured that reconstruction of images using by respiratory gating improved image quality. Delivery dose to glass dosemeter inserted in the models were same under static and 10-rpm-longitudinal motion status with 0.91 Gy, but dose delivered under 15-rpm-longitudinal motion status was decreased with 0.90 Gy. Mild decrease of delivered radiation dose confirmed by electrometer. The model implanted in the proximal caudal bronchiole with high feasibility and reflected pulmonary internal motion on fluoroscopic images. Motion artifact could show on PET images and respiratory motion resulted in mild blurring during radiation delivery. So, the artificial pulmonary nodule model will be useful tools for study about evaluation of motion on diagnostic imaging and radiation therapy using laboratory animals.

• Journal of Biomedical Engineering Research
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• v.42 no.5
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• pp.241-249
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• 2021

Recently, artificial intelligence for diagnosis system of obstetric diseases have been actively studied. Artificial intelligence diagnostic assist systems, which support medical diagnosis benefits of efficiency and accuracy, may experience problems of poor learning accuracy and reliability when inappropriate images are the model's input data. For this reason, before learning, We proposed an algorithm to exclude unread cervical imaging. 2,000 images of read cervical imaging and 257 images of unread cervical imaging were used for this study. Experiments were conducted based on the statistical method Radiomics to extract feature values of the entire images for classification of unread images from the entire images and to obtain a range of read threshold values. The degree to which brightness, blur, and cervical regions were photographed adequately in the image was determined as classification indicators. We compared the classification performance by learning read cervical imaging classified by the algorithm proposed in this paper and unread cervical imaging for deep learning classification model. We evaluate the classification accuracy for unread Cervical imaging of the algorithm by comparing the performance. Images for the algorithm showed higher accuracy of 91.6% on average. It is expected that the algorithm proposed in this paper will improve reliability by effectively excluding unread cervical imaging and ultimately reducing errors in artificial intelligence diagnosis.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8047-8050
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• 2014

Cancer is a multifaceted and genomically complex disease and research over decades has gradually and sequentially shown that essential biological mechanisms including cell cycle arrest and apoptosis are deregulated. The benefits of essential oils from different plants have started to gain appreciation as evidenced by data obtained from cancer cell lines and xenografted mice. Encouraging results obtained from preclinical studies have attracted considerable attention and various phytochemicals have entered into clinical trials.

• Journal of Gastric Cancer
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• v.11 no.1
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• pp.64-68
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• 2011

A 54 year old man was referred to our hospital with gastric cancer. The patient had a history of splenectomy and a left nephrectomy as a result of a traffic accident 15 years earlier. The endoscopic findings were advanced gastric cancer at the lower body of the stomach. Abdominal ultrasonography (USG) and magnetic resonance imaging demonstrated a metastatic nodule in the S2 segment of the liver. Eventually, the clinical stage was determined to be cT2cN1cM1 and a radical distal gastrectomy, lateral segmentectomy of the liver were performed. The histopathology findings confirmed the diagnosis of intrahepatic splenosis, omental splenosis. Hepatic splenosis is not rare in patients with a history of splenic trauma or splenectomy. Nevertheless, this is the first report describing a patient with gastric cancer and intrahepatic splenosis that was misinterpreted as a liver metastatic nodule. Intra-operative USG guided fine needle aspiration should be considered to avoid unnecessary liver resections in patients with a suspicious hepatic metastasis.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.853-857
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• 2013

Objectives: Breast cancer is a leading cause of morbidity and mortality in women worldwide. Breast screening in normal and/or asymptomatic women is essential to reduce the burden of breast malignancies. Our study aimed to identify possible risk- and/or co-factors associated with breast screening in North Indian women. Methods: A public health research survey was conducted among 100 women of North Indian ethnicity during clinic visits in a 6-month timeline (April-October 2012). Demographic and clinical data, including mammography screening, were recorded in the questionnaire-based proforma after conducting a 10 minute interview. Written informed consent was taken from all the participants. Results: The mean age of the participants was $32.2{\pm}9.9$ years. Out of 100 women, 6% had family history of breast disease. Breast-related complaints/malignancy, including galactorrhoea, mastitis, axillary lump, fibrocystic disease, fibroadenosis and adenocarcinoma were observed in 41% participants; age stratification revealed that 82.9% of this group (n=41) were <30 years, while 9.7% and 7.3% were >30 years and 30 years of age, respectively. 32% participants underwent mammography screening and 8% had breast ultrasound imaging. Age stratification in the mammography screening group demonstrated that 24 women were <40 years, while 7 women were >40 years. Conclusions: Our pilot study identified possible co-factors affecting breast screening in North Indian women. These findings may be beneficial in early detection of breast abnormalities, including malignancies in women susceptible to breast cancer, and thus aid in future design of cost-effective screening strategies to reduce the increasing burden of breast carcinoma in women worldwide.