• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.1233-1241
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• 2022

Tumors of the brain are the deadliest, with a life expectancy of only a few years for those with the most advanced forms. Diagnosing a brain tumor is critical to developing a treatment plan to help patients with the disease live longer. A misdiagnosis of brain tumors will lead to incorrect medical treatment, decreasing a patient's chance of survival. Radiologists classify brain tumors via biopsy, which takes a long time. As a result, the doctor will need an automatic classification system to identify brain tumors. Image classification is one application of the deep learning method in computer vision. One of the deep learning's most powerful algorithms is the convolutional neural network (CNN). This paper will introduce a novel deep learning structure and image gradient to classify brain tumors. Meningioma, glioma, and pituitary tumors are the three most popular forms of brain cancer represented in the Figshare dataset, which contains 3,064 T1-weighted brain images from 233 patients. According to the numerical results, our method is more accurate than other approaches.

• 한국임상수의학회지
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• 제9권2호
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• pp.457-466
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• 1992

An 11 years old Irish Setter bitch was euthanlzed and necropsied because of clinical findings such as severe purulent nasal discharge and formation of large tumor mass, 8 ${\times}$8cm in size, in the abdominal cavity. A complete unilateral mastectomy had been carried out twice 14 and 22 months before necropsy. The surgically removed masess of the mammary glands had been diagnosed as malignant mixed tumor in each time. Grossly, tumor masses were observed in nasal cavity, infralumbar lymph node, lung, abdominal cavityn and brain. Microscopic findings of the surgically removed masses consisted of tumor epithelial cells, tumor hyaline cartilage-like structures and abundant connective tissues. The mass of the lymph node had similar microscopic features to those of the original malignant mixed tumor of the mammary glands. The tumor osseous tissue and osteoid were observed in the abdominal cavity, lung, and brain. Myoepithelial cells were frequently found on association with the metastatic tumors. From the results, it was concluded that malignant mixed tumor of the mammary glands metastasized to the infralunbar lymph node, abdominal cavity, lung and brain. In addition, the observation in this study supported two theories at the same time that the bone in malignant mixed tumor arises by endochondral ossification of the cartilage formed by the myoepithelial cells and arises by intramembranous ossification of stromal connective tissue or transformed myeopithelial cells. Solid carcinoma of the nasal epielia and granulosa cell tumor were also diagnosed in a mass of the nasal cavity and of the ovaries respectively.

• 대한한방종양학회지
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• 제5권1호
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• pp.151-158
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• 1999

We have experienced a case of metastatic brain tumor originated from lung cancer treated by oriental medicine (Herbal medication, Acupuncture therapy, Moxa therapy) and We have a good result from that case to report it. According to the therapentic effects, it could be suggeted that Younggyaechulgamtanggagambang extracts and oriental medical symptomatic treatment were significant in improvement of the patient.

• Journal of Korean Neurosurgical Society
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• 제39권2호
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• pp.136-140
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• 2006

The authors report three microcystic meningiomas with its characteristic immunohistochemical findings and chromosomal pattern. Three patients with surgically treated microcystic meningioma were studied for its radiological, histopathological findings, and chromosomal analysis was done in the one patient. Tumors were convexity meningioma in the frontal area. The tumors were enhanced homogenously in the two, and enhanced in homogenously with multiple small cysts in the other one on preoperative magenetic resonance image. Pathological examination showed marked nuclear pleomorphism, many small cysts, hyaline thickening in blood vessel wall, and mucinous background, compatable to microcystic type. EMA and vimentin were positive on the immunohistochemical stain. Chromosomal analysis showed tetrasomies of chromosome 5, 13, 17, and 20, and trisomies of chromosome 6, 7, 9, 11, 12, 16, 19, and 21, which are quite different from those of benign meningioma.

• Journal of Korean Neurosurgical Society
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• 제39권4호
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• pp.306-309
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• 2006

Ectopic pituitary adenoma, occurring outside the sella turcica without any continuity with intrasellar pituitary gland is very rare. So far, less than 90 such cases have been reported in the literature. Regarding to ectopic locations, suprasellar region, sphenoid sinus and clivus have been reported in decending order of frequency. To our best knowledge, growth hormone-secreting ectopic pituitary adenoma in the clivus has never been reported. With the pertinent literature review, we present our unique case with its characteristic magnetic resonance imaging and immunohistochemical features.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2788-2808
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• 2023

Brain tumors are one of the most threatening malignancies for humans. Misdiagnosis of brain tumors can result in false medical intervention, which ultimately reduces a patient's chance of survival. Manual identification and segmentation of brain tumors from Magnetic Resonance Imaging (MRI) scans can be difficult and error-prone because of the great range of tumor tissues that exist in various individuals and the similarity of normal tissues. To overcome this limitation, the Amended Convolutional Neural Network (ACNN) model has been introduced, a unique combination of three techniques that have not been previously explored for brain tumor detection. The three techniques integrated into the ACNN model are image tissue preprocessing using the Kalman Bucy Smoothing Filter to remove noisy pixels from the input, image tissue segmentation using the Isotonic Regressive Image Tissue Segmentation Process, and feature extraction using the Marr Wavelet Transformation. The extracted features are compared with the testing features using a sigmoid activation function in the output layer. The experimental findings show that the suggested model outperforms existing techniques concerning accuracy, precision, sensitivity, dice score, Jaccard index, specificity, Positive Predictive Value, Hausdorff distance, recall, and F1 score. The proposed ACNN model achieved a maximum accuracy of 98.8%, which is higher than other existing models, according to the experimental results.

• Journal of Korean Neurosurgical Society
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• 제59권2호
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• pp.106-116
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• 2016

Objective : Protein disulfide isomerase (PDI) acts as a chaperone on the cell surface, and it has been reported that PDI is associated with the tumor cell migration and invasion. The aims of this study are to investigate the anti-migration effect of bacitracin, which is an inhibitor of PDI, and the associated factor in this process. Methods : U87-MG glioma cells were treated with bacitracin in 1.25, 2.5, 3.75, and 5.0 mM concentrations. Western blot with caspase-3 was applied to evaluate the cytotoxicity of bacitracin. Adhesion, morphology, migration assays, and organotypic brain-slice culture were performed to evaluate the effect of bacitracin to the tumor cell. Western blot, PCR, and gelatin zymography were performed to investigate the associated factors. Thirty glioma tissues were collected following immunohistochemistry and Western blot. Results : Bacitracin showed a cytotoxicity in 3rd (p<0.05) and 4th (p<0.001) days, in 5.0 Mm concentration. The cell adhesion significantly decreased and the cells became a round shape after treated with bacitracin. The migration ability, the expression of phosphorylated focal adhesion kinase (p-FAK) and matrix metalloproteinase-2 (MMP-2) decreased in a bacitracin dose- and time-dependent manner. The U87-MG cells exhibited low-invasiveness in the 2.5 mM, compared with the untreated in organotypic brain-slice culture. PDI was expressed in the tumor margin, and significantly increased with histological glioma grades (p<0.001). Conclusion : Bacitracin, as a functional inhibitor of PDI, decreased the phosphorylated FAK and the secreted MMP-2, which are the downstream of integrin and play a major role in cell migration and invasion, might become one of the feasible therapeutic strategies for glioblastoma.

• Journal of Korean Neurosurgical Society
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• 제48권1호
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• pp.20-30
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• 2010

Objective : We determined whether the expression of GRIM-19 is correlated with pathologic types and malignant grades in gliomas, and determined the function of GRIM-19 in human gliomas. Methods : Tumor tissues were isolated and frozen at $-80^{\circ}C$ just after surgery. The tissues consisted of normal brain tissue (4), astrocytomas (2), anaplastic astrocytomas (2), oligodendrogliomas (13), anaplastic oligodendrogliomas (11), and glioblastomas (16). To profile tumor-related genes, we applied RNA differential display using a $Genefishing^{TM}$ DEG kit, and validated the tumor-related genes by reverse transcription polymerase chain reaction (RT-PCR). A human glioblastoma cell line (U343MG-A) was used for the GRIM-19 functional studies. The morphologic and cytoskeletal changes were examined via light and confocal microscopy. The migratory and invasive abilities were investigated by the simple scratch technique and Matrigel assay. The antiproliferative activity was determined by thiazolyl blue Tetrazolium bromide (MTT) assay and FACS analysis. Results : Based on RT-PCR analysis, the expression of GRIM-19 was higher in astrocytic tumors than oligodendroglial tumors. The expression of GRIM-19 was higher in high-grade tumors than low-grade tumors or normal brain tissue; glioblastomas showed the highest expression. After transfection of GRIM-19 into U343MG-A, the morphology of the sense-transfection cells became larger and more spindly. The antisensetransfection cells became smaller and rounder compared with wild type U343MG-A. The MTT assay showed that the sense-transfection cells were more sensitive to the combination of interferon-$\beta$ and retinoic acid than U343MG-A cells or antisense-transfection cells; the antiproliferative activity was related to apoptosis. Conclusion : GRIM-19 may be one of the gene profiles which regulate cell death via apoptosis in human gliomas.

• Investigative Magnetic Resonance Imaging
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• 제9권1호
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• pp.2-8
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• 2005

목적 : 뇌종양 및 확산텐서 영상으로 얻어진 그 주변 신경 다발을 동시에 가시화하는 소프트웨어를 구현하고 그것을 통해 뇌종양이 그 주변 신경다발에 미치는 영향에 대한 조사에의 적용 가능성을 시험해 보고자하였다. 대상 및 방법 : IDL을 기반으로 뇌종양과 그 주변 신경다발의 통합적 가시화를 구현하였다. 뇌종양을 가진 한 환자에 대한 T1 강조영상 및 확산텐서 영상을 포함하는 자기공명영상이 3.0T자기공명장치에서 획득되었다. 우리는 해부학적 정보를 위해 두개골을 제거한 뇌 영상과 구획화된 뇌종양을 위한 대조강화 T1 강조 영상을 이용하여 서피스 및 볼륨렌더링을 사용하였다. 대뇌 백질 신경 다발추적을 위해 사용되는 확산텐서영상을 위해서는 25개 방향의 확산경사 자계를 이용하는 SE-EPI방법을 사용하였다. 신경 다발추적 방법으로는 streamline과 tensorline 방법을 사용하였다. T1 강조 영상 및 확산텐서 영상의 공간적 불일치를 보정하기 위해 SPM을 이용한 정합을 수행하였다. 우리의 소프트웨어는 PC 윈도우 환경에서 작동할 수 있도록 구현되었다. 결과 : 한 명의 뇌종양 환자에 대하여 튜브 모양의 신경다발, 대뇌 백질 서피스 렌더링 , 뇌종양의 볼륨/서피스렌더링의 통합적 가시화를 성공적으로 구현하였다. 결론 : 우리의 결과는 뇌종양 및 그 주변 신경다발의 통합적 가시화의 실현 가능성을 보여주었다. 더불어 우리의 구현된 통합적 가시화는 뇌종양 부위 및 그 주변 부의의 대뇌 백질 확산 비등방성의 정량적인 분석에 사용될 수 있을 것으로 기대된다.

• International Journal of Control, Automation, and Systems
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• 제2권1호
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• pp.100-106
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• 2004

In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an active contour model. The brain tumor segmentation contour, however, cannot be detected in case that a higher gradient intensity exists other than the interested brain tumor and deformities. Our method for discerning brain tumors and deformities from unwanted adjacent tissues is proposed. The proposed method can be used in medical image analysis because the exact contour of the brain tumor and deformities is followed by precise diagnosis of the deformities.