• Tuberculosis and Respiratory Diseases
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• v.57 no.2
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• pp.118-124
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• 2004

Lung cancer is the leading cause of cancer death for men and women in the industrialized world. It is desirable to detect disease at a stage when it is not causing symptoms and when control or cure is possible. If the screening test detects patients with the disease at an early stage, they can be examined to confirm the diagnosis and intervention can alter the natural history of the disease. The results of screening programs designed to detect early lung cancer using either conventional chest radiograph or sputum cytology are disappointing for a diagnostic screening test. Because of advances in helical CT imaging techniques, screening for lung cancer has been suggested as a possible method of improving outcome. Findings in recent publications suggest that substantial dose reduction is possible in chest CT. The advantages of low-dose CT are more sensitive than chest radiograph for detecting small pulmonary nodules that may be lung cancers, shorter scanning time than conventional chest CT scan without intravenous contrast injection, cheaper cost than standard CT, low radiation dose. However, the true clinical significance of the small tumors found by screening is still unknown, and their effect on mortality awaits future investigation. Furthermore, in addition to detecting an increased number of lung cancers, low-dose CT found at least one indeterminate nodule in many of all screened patients. The majority should be benign but evaluation of all these indeterminate nodules is not a trivial problem in routine practice. In conclusion, lung cancer screening with low-dose CT is a complex subject. The true effectiveness of lung cancer screening (a reduction in mortality from lung cancer) with low-dose CT can be determined through well-designed randomized control trials with enrolment of appropriate subjects.

• Journal of Gastric Cancer
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• v.11 no.1
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• pp.38-45
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• 2011

Purpose: Bone metastasis from stomach cancer occurs only rarely and it is known to have a very poor prognosis. This study examined the clinical characteristics and prognosis of patients who were diagnosed with stomach cancer and bone metastasis. Materials and Methods: The subjects were 19 patients who were diagnosed with stomach cancer at Hanyang University Medical Center from June 1992 to August 2010 and they also had bone metastasis. The survival rate according to many clinicopathologic factors was retrospectively analyzed. Results: 11 patients out of 18 patients (61%) who received an operation were in stage IV and the most common bone metastasis location was the spine. Bone scintigraphy was mostly used for diagnosing bone metastasis and PET-CT and magnetic resonance imaging were used singly or together. The serum alkaline phosphatase at the time of diagnosis had increased in 12 cases and there were clinical symptoms (bone pain) in 16 cases. Treatment was given to 14 cases and it was mostly radiotherapy. There were 2 cases of discovering bone metastasis at the time of diagnosing stomach cancer. The interval after operation to the time of diagnosing bone metastasis for the 18 cases that received a stomach cancer operation was on average $14.9{\pm}17.3$ months and the period until death after the diagnosis of bone metastasis was on average $3.8{\pm}2.6$ months. As a result of univariate survival rate analysis, the group that was treated for bone metastasis had a significantly better survival period when the bone metastasis was singular rather than multiple, as compared to the non-treatment group, yet both factors were not independent prognosis factors on multivariate survival analysis. Conclusions: An examination to confirm the status of bone metastasis when conducting a radio-tracer test after the initial diagnosis and also after an operation is needed for stomach cancer patients, and bone scintigraphy is the most helpfully modality. Making the diagnosis at the early stage and suitable treatments are expected to enhance the survival rate and improve the quality of life even for the patients with bone metastasis.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.4
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• pp.1879-1883
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• 2014

Background: The relationship between obesity and prostate cancer aggressiveness is controversial in recent studies, partly because BMI is the only generally applied marker of obesity. Our study aimed at evaluating the correlation of periprostatic fat (PF) on magnatic resonance imaging (MRI) and adipocytokines with prostate cancer aggressiveness. Patients and method: A total of 184 patients who underwent radical retropubic prostatectomy (RRP) were analyzed retrospectively; different fat measurements on MRI slices and levels of adipocytokines were compared with the clinical and pathologic factors using SSPS ver.13.0. Result: The PF rates showed a statistically significant variation (p=0.019, 0.025) among groups, that is to say, more adipose tissue was distributed in periprostatic areas of high risk patients. Logistic regression analysis adjusted for age revealed a statistically association between the PF, the ratio and the risk of having high-risk disease (p=0.031, 0.024). The levels of IL-6, leptin and c-reactive protein (CRP) significantly increased with the aggressiveness of prostate cancer, and also with PF and its ratio. The strongest correlation was seen between IL-6 and PF (Pearson r coefficient=0.67, P<0.001). No association was observed between adipocytokines and BMI. Conclusion: Periprostatic adiposity not only affects prostate cancer aggressiveness, but also influences the secretion of adipocytokines. IL-6, PF and CRP have promoting effects on progression of prostate cancer.

• Korean Journal of Head & Neck Oncology
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• v.12 no.2
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• pp.212-216
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• 1996

Four cases of sphenoid sinus carcinoma have been observed for last 10 years and we reviewed English literatures about sphenoid sinus carcinoma. The sphenoid sinus carcinoma is rare and the diagnosis is difficult. In the early stage, the non-specific deep constant headache is the only symptom but if the sinus wall is penetrated, the neuro-ophthalmologic symptoms and signs may appear. The extension of lesion is identified by radiologic imaging and the diagnosis requires direct biopsy. In case of deep constant headache combined with neuro-ophthalmologic symptoms and signs the sphenoid sinus carcinoma should be considered. Our small data reveals that the radiation treatment offers a possibility of relatively good outcome, although most of the cases are advanced already on initial diagnosis.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5331-5335
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• 2015

Purpose: The aim of this study was to compare the tumor-free and overall survival rates between patients with low-risk endometrial cancer who underwent surgical staging and those who did not undergo surgical staging. Materials and Methods: Data, including demographic characteristics, grade of the tumor, myometrial invasion, cervical involvement, peritoneal washing, lymph node involvement, lymphovascular space invasion, postoperative complication, adjuvant treatment, cancer recurrence, and tumor-free and overall survival rates, for patients with low-risk endometrioid endometrial cancer who were treated surgically with and without pelvic and paraaortic lymph node dissection (LND) were analyzed retrospectively. The patients diagnosed with endometrioid endometrial cancer including the following criteria were considered low-risk: 1) a grade 1 (G1) or grade 2 (G2) endometrioid histology; 2) myometrial invasion of <50% upon magnetic resonance imaging (MRI); 3) no stromal glandular or stromal invasion upon MRI; and 4) no evidence of intra-abdominal metastasis. Then the patients at low-risk were divided into two groups; group 1 (n=117): patients treated surgically with pelvic and paraaortic LND and group 2 (n=170): patients treated surgically without pelvic and paraaortic LND. Results: There was no statistical significance when the groups were compared in terms of lymphovascular space invasion, cervical involvement, positive cytology, and recurrence, whereas the administration of an adjuvant therapy was higher in group 2 (p<0.005). The number of patients with positive pelvic nodes and the number of metastatic pelvic nodes were significantly higher in the group with positive LVI than in the group without LVI (p<0.005). No statistically significant differences were detected between the groups in terms of tumor-free survival (p=0.981) and overall survival (p=0.166). Conclusions: Total hysterectomy with bilateral salpingo-oophorectomy and stage-adapted postoperative adjuvant therapy without pelvic and/or paraaortic lymphadenectomy may be safe and efficient treatments for low-risk endometrial cancer.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.420-426
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• 2022

Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

• Journal of Digestive Cancer Research
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• v.1 no.2
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• pp.108-110
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• 2013

The relationship between malignancy and venous thromboembolism(VTE) has been well established. About 20% of all VTE cases are associated with cancer and thrombotic events are the second leading cause of death in cancer patients after death from cancer itself. Effective prophylaxis and treatment will reduce morbidity and may decrease overall mortality. We report a case of VTE in a patient with advanced gastric cancer who treated with low-molecular weighted heparin (LMWH). A 49-year-old man with heartburn was admitted to our hospital. On the endoscopic and radiologic imaging, the patient was diagnosed as an advanced gastric cancer with perigastric infiltration and liver metastasis. During the combination chemotherapy, he had pain and swelling of left lower leg. Doppler ultrasonography showed left posterior tibial venous thrombosis and pulmonary embolism CT showed thromboembolism in subsegmental pulmonary artery branch in right lower lobe. He was treated with LMWH, Dalteparin once daily via subcutaneous injection, and his symptoms was subsided.

• Journal of the Korean Society for Nondestructive Testing
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• v.28 no.2
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• pp.101-111
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• 2008

Strain imaging in a medical ultrasound imaging system can differentiate the cancer or tumor in a lesion that is stiffer than the surrounding tissue. In this paper, a strain imaging technique using quasistatic compression is implemented that estimates the displacement between pre- and postcompression ultrasound echoes and obtains strain by differentiating it in the spatial direction. Displacements are computed from the phase difference of complex baseband signals obtained using their autocorrelation, and errors associated with converting the phase difference into time or distance are compensated for by taking into the center frequency variation. Also, to reduce the effect of operator's hand motion, the displacements of all scanlines are normalized with the result that satisfactory strain image quality has been obtained. These techniques have been incorporated into implementing a medical ultrasound strain imaging system that operates in real time.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.1 no.1
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• pp.23-30
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• 2015

Radioisotopes emitting low-range highly ionizing radiation such as ${\beta}$-particles are of increasing significance in internal radiotherapy. Among the ${\beta}$-particle emitting radioisotopes, $^{67}Cu$ is an attractive radioisotope for various nuclear medicine applications due to its medium energy ${\beta}$-particle, gamma emissions, and 61.83-hour half-life, which can also be used with $^{64}Cu$ for PET imaging. The production and application of the ${\beta}$-emitting radioisotope $^{67}Cu$ for therapeutic radiopharmaceutical are outlined, and different production routes are discussed. A survey of copper chelators used for antibody labeling is provided. It has been produced via proton, alpha, neutron, and gamma irradiations followed by solvent extraction, ion exchange, electrodeposition. Clinical studies using $^{67}Cu$-labelled antibodies in lymphoma, colon carcinoma and bladder cancer patients are reviewed. Widespread use of this isotope for clinical studies and preliminary treatments has been limited by unreliable supplies, cost, and difficulty in obtaining therapeutic quantities.

• Journal of the Korean Society of Radiology
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• v.84 no.1
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• pp.3-14
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• 2023

Breast Imaging Reporting and Data System (BI-RADS) is a communication and data tracking system that standardizes and controls the quality of reporting by presenting lexicon descriptors, assessment categories, and recommendations for managing breast lesions. Using standardized terminology recommended by BI-RADS, radiologists can concisely and reproducibly communicate breast imaging results to clinicians. They can also provide the estimated malignant probability of the lesions found and guide management for them by determining the final assessment category. The limitations of BI-RADS 5th edition currently in use are that there are some areas for which standardized terminologies still need to be established, and that the diagnostic criteria of MRI assessment categories 3 and 4 are ambiguous compared to those for mammography or ultrasound. The next revision of BI-RADS is expected to include solutions for overcoming current limitations.