• 제목/요약/키워드: Low-Grade Glioma

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Transfer Learning Using Convolutional Neural Network Architectures for Glioma Classification from MRI Images

  • Kulkarni, Sunita M.;Sundari, G.
    • International Journal of Computer Science & Network Security
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    • 제21권2호
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    • pp.198-204
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    • 2021
  • Glioma is one of the common types of brain tumors starting in the brain's glial cell. These tumors are classified into low-grade or high-grade tumors. Physicians analyze the stages of brain tumors and suggest treatment to the patient. The status of the tumor has an importance in the treatment. Nowadays, computerized systems are used to analyze and classify brain tumors. The accurate grading of the tumor makes sense in the treatment of brain tumors. This paper aims to develop a classification of low-grade glioma and high-grade glioma using a deep learning algorithm. This system utilizes four transfer learning algorithms, i.e., AlexNet, GoogLeNet, ResNet18, and ResNet50, for classification purposes. Among these algorithms, ResNet18 shows the highest classification accuracy of 97.19%.

Genistein Suppression of Matrix Metalloproteinase 2 (MMP-2) and Vascular Endothelial Growth Factor (VEGF) Expression in Mesenchymal Stem Cell Like Cells Isolated from High and Low Grade Gliomas

  • Yazdani, Yasaman;Rad, Mohammad Reza Sharifi;Taghipour, Mousa;Chenari, Nooshafarin;Ghaderi, Abbas;Razmkhah, Mahboobeh
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권12호
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    • pp.5303-5307
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    • 2016
  • Objective: Brain tumors cause great mortality and morbidity worldwide, and success rates with surgical treatment remain very low. Several recent studies have focused on introduction of novel effective medical therapeutic approaches. Genistein is a member of the isoflavonoid family which has proved to exert anticancer effects. Here we assessed the effects of genistein on the expression of MMP-2 and VEGF in low and high grade gliomas in vitro. Materials and Methods: High and low grade glioma tumor tissue samples were obtained from a total of 16 patients, washed with PBS, cut into small pieces, digested with collagenase type I and cultured in DMEM containing 10% FBS. When cells reached passage 3, they were exposed to genistein and MMP-2 and VEGF gene transcripts were determined by quantitative real time PCR (qRT-PCR). Results: Expression of MMP-2 demonstrated 580-fold reduction in expression in low grade glioma cells post treatment with genistein compared to untreated cells (P value= 0.05). In cells derived from high grade lesions, expression of MMP-2 was 2-fold lower than in controls (P value> 0.05). Genistein caused a 4.7-fold reduction in VEGF transcript in high grade glioma cells (P value> 0.05) but no effects were evident in low grade glioma cells. Conclusion. Based on the data of the present study, low grade glioma cells appear much more sensitive to genistein and this isoflavone might offer an appropriate therapeutic intervention in these patients. Further investigation of this possibility is clearly warranted.

Intracranial Undifferentiated Sarcoma Arising from a Low-Grade Glioma : A Case Report and Literature Review

  • Kim, Bum-Joon;Kim, Jong-Hyun;Chung, Hung-Seob;Kwon, Taek-Hyun
    • Journal of Korean Neurosurgical Society
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    • 제57권6호
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    • pp.469-472
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    • 2015
  • Undifferentiated sarcomas are rarely identified in the intracranial region. A 23-year-old man was admitted with a chief complaint of headache. Initial magnetic resonance images showed signs of low-grade glioma in the frontal lobe. Stereotactic biopsy was performed, and a diagnosis of diffuse astrocytoma was confirmed. Three months later, the patient presented with a high-grade tumor as seen on imaging studies. He underwent total resection of the tumor and histopathological tests identified an undifferentiated sarcoma. The patient died eight months later due to massive tumor bleeding. To the best of our knowledge, this is the first report of undifferentiated sarcoma arising from low-grade glioma without any chemotherapy or radiotherapy.

Chordoid Glioma : an Uncommon Tumor of the Third Ventricle

  • Park, Seong-Hyun;Hwang, Jeong-Hyun
    • Journal of Korean Neurosurgical Society
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    • 제40권1호
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    • pp.40-43
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    • 2006
  • Chordoid glioma is an uncommon low-grade tumor of the third ventricle with histologic features of a chordoma and immunolabeling for glial fibrillary acid protein. We present a rare case of a patient with a chordoid glioma of the third ventricle and review the literature regarding this tumor's clinical, radiological and pathologic aspects.

Deregulated Expression of Cry1 and Cry2 in Human Gliomas

  • Luo, Yong;Wang, Fan;Chen, Lv-An;Chen, Xiao-Wei;Chen, Zhi-Jun;Liu, Ping-Fei;Li, Fen-Fen;Li, Cai-Yan;Liang, Wu
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권11호
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    • pp.5725-5728
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    • 2012
  • Growing evidence shows that deregulation of the circadian clock plays an important role in the development of malignant tumors, including gliomas. However, the molecular mechanisms of gene chnages controlling circadian rhythm in glioma cells have not been explored. Using real time polymerase chain reaction and immunohistochemistry techniques, we examined the expression of two important clock genes, cry1 and cry2, in 69 gliomas. In this study, out of 69 gliomas, 38 were cry1-positive, and 51 were cry2-positive. The expression levels of cry1 and cry2 in glioma cells were significantly different from the surrounding non-glioma cells (P<0.01). The difference in the expression rate of cry1 and cry 2 in high-grade (grade III and IV) and low-grade (grade 1 and II) gliomas was non-significant (P>0.05) but there was a difference in the intensity of immunoactivity for cry 2 between high-grade gliomas and low-grade gliomas (r=-0.384, P=0.021). In this study, we found that the expression of cry1 and cry2 in glioma cells was much lower than in the surrounding non-glioma cells. Therefore, we suggest that disturbances in cry1 and cry2 expression may result in the disruption of the control of normal circadian rhythm, thus benefiting the survival of glioma cells. Differential expression of circadian clock genes in glioma and non-glioma cells may provide a molecular basis for the chemotherapy of gliomas.

신경교종 등급 분류를 위한 심층신경망 기반 멀티모달 MRI 영상 분석 모델 (Multimodal MRI analysis model based on deep neural network for glioma grading classification)

  • 김종훈;박현진
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.425-427
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    • 2022
  • 신경교종의 등급은 생존과 관련된 중요한 정보로 종양 진행을 평가하고 치료 계획을 세우기 위해 치료 전 신경교종의 등급을 분류하는 것이 중요하다. 신경교종 등급의 분류는 주로 고등급 신경교종과 저등급 신경교종으로 나누는 방식을 주로 사용한다. 본 연구에서는 심층신경망 모델을 활용하여 촬영된 MRI 영상을 분석하기 위해 이미지 전처리 기법을 적용하고 심층신경망 모델의 분류 성능을 평가한다. 가장 높은 성능의 EfficientNet-B6 모델은 5-fold 교차 검증에서 정확도 0.9046, 민감도 0.9570, 특이도 0.7976, AUC 0.8702, F1-Score 0.8152의 결과값을 보여준다.

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뇌 종양 등급 분류를 위한 심층 멀티모달 MRI 통합 모델 (Deep Multimodal MRI Fusion Model for Brain Tumor Grading)

  • 나인예;박현진
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.416-418
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    • 2022
  • 신경교종(glioma)은 신경교세포에서 발생하는 뇌 종양으로 low grade glioma와 예후가 나쁜 high grade glioma로 분류된다. 자기공명영상(magnetic Resonance Imaging, MRI)은 비침습적 수단으로 이를 이용한 신경교종 진단에 대한 연구가 활발히 진행되고 있다. 또한, 단일 modality의 정보 한계를 극복하기 위해 다중 modality를 조합하여 상호 보완적인 정보를 얻는 연구도 진행되고 있다. 본 논문은 네가지 modality(T1, T1Gd, T2, T2-FLAIR)의 MRI 영상에 입력단 fusion을 적용한 3D CNN 기반의 모델을 제안한다. 학습된 모델은 검증 데이터에 대해 정확도 0.8926, 민감도 0.9688, 특이도 0.6400, AUC 0.9467의 분류 성능을 보였다. 이를 통해 여러 modality 간의 상호관계를 학습하여 신경교종의 등급을 효과적으로 분류함을 확인하였다.

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Expression Profile Analysis of Zinc Transporters (ZIP4, ZIP9, ZIP11, ZnT9) in Gliomas and their Correlation with IDH1 Mutation Status

  • Kang, Xing;Chen, Rong;Zhang, Jie;Li, Gang;Dai, Peng-Gao;Chen, Chao;Wang, Hui-Juan
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권8호
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    • pp.3355-3360
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    • 2015
  • Background: Zinc transporters have been considered as essential regulators in many cancers; however, their mechanisms remain unknown, especially in gliomas. Isocitrate dehydrogenase 1(IDH1) mutation is crucial to glioma. This study aimed to investigate whether zinc transporters are correlated with glioma grade and IDH1 mutation status. Materials and Methods: IDH1 mutation status and mRNA expression of four zinc transporters (ZIP4, ZIP9, ZIP11, and ZnT9) were determined by subjecting a panel of 74 glioma tissue samples to quantitative real-time PCR and pyrosequencing. The correlations between the expression levels of these zinc transporter genes and the grade of glioma, as well as IDH1 mutation status, were investigated. Results: Among the four zinc transporter genes, high ZIP4 expression and low ZIP11 expression were significantly associated with higher grade (grades III and IV) tumors compared with lower grade (grades I and II) counterparts (p<0.0001). However, only ZIP11 exhibited weak correlation with IDH1 mutation status (p=0.045). Samples with mutations in IDH1 displayed higher ZIP11 expression than those without IDH1 mutations. Conclusions: This finding indicated that zinc transporters may interact with IDH1 mutation by direct modulation or action in some shared pathways or genes to promote the development of glioma. Zinc transporters may play an important role in glioma. ZIP4 and ZIP11 are promising molecular diagnostic markers and novel therapeutic targets. Nevertheless, the detailed biological function of zinc transporters and the mechanism of the potential interaction between ZIP11 and IDH1 mutation in gliomagenesis should be further investigated.

The Use of MR Perfusion Imaging in the Evaluation of Tumor Progression in Gliomas

  • Snelling, Brian;Shah, Ashish H.;Buttrick, Simon;Benveniste, Ronald
    • Journal of Korean Neurosurgical Society
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    • 제60권1호
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    • pp.15-20
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    • 2017
  • Objective : Diagnosing tumor progression and pseudoprogression remains challenging for many clinicians. Accurate recognition of these findings remains paramount given necessity of prompt treatment. However, no consensus has been reached on the optimal technique to discriminate tumor progression. We sought to investigate the role of magnetic resonance perfusion (MRP) to evaluate tumor progression in glioma patients. Methods : An institutional retrospective review of glioma patients undergoing MRP with concurrent clinical follow up visit was performed. MRP was evaluated in its ability to predict tumor progression, defined clinically or radiographically, at concurrent clinical visit and at follow up visit. The data was then analyzed based on glioma grade and subtype. Resusts : A total of 337 scans and associated clinical visits were reviewed from 64 patients. Sensitivity, specificity, positive and negative predictive value were reported for each tumor subtype and grade. The sensitivity and specificity for high-grade glioma were 60.8% and 87.8% respectively, compared to low-grade glioma which were 85.7% and 89.0% respectively. The value of MRP to assess future tumor progression within 90 days was 46.9% (sensitivity) and 85.0% (specificity). Conclusion : Based on our retrospective review, we concluded that adjunct imaging modalities such as MRP are necessary to help diagnose clinical disease progression. However, there is no clear role for stand-alone surveillance MRP imaging in glioma patients especially to predict future tumor progression. It is best used as an adjunctive measure in patients in whom progression is suspected either clinically or radiographically.

뇌반구에 위치한 양성신경교종의 악성전환에 대한 임상적 연구 (Malignant Transformation of Hemispheric Low-Grade Gliomas : Clinical Analysis and Prognostic Factors)

  • 조근태;곽호신;정희원;백선하;정영섭;김동규;조병규
    • Journal of Korean Neurosurgical Society
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    • 제30권7호
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    • pp.855-860
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    • 2001
  • Introduction : It has been reported that the survival of low-grade glioma patients depends upon the time of malignant transformation. The authors presents the clinical analysis of histologically proven trasformed gliomas. Materials and Method : A total 92 patients who were consecutively treated and histologically confirmed hemispheric low-grade gliomas between 1980 and 1998 were analyzed and followed. All cases meet the criteria of WHO glioma classification of grade II. Results : The mean follow-up period was 73 months. Twenty two among 92 cases(24%) were histologically proven to be transformed into malignant ones. The mean time to transformation was 56 months. The 5-year and 10-year survival rates of the transformed group were 66% and 30% respectively and significantly different from the survival rates of the non-transformed group(p=0.0018). Among clinical factors at presentation, the initial tumor volume had a tendency to be larger in the transformed group than that of the non-transformed group and became significant when it was divided into more than $30cm^3$ or not(p=0.02). Among therapeutic factors, the extent of removal had no influence on the rate of malignant transformation. But postoperative radiation therapy were more frequently given to the pre-transformed group than the non-transformed group and the frequency was significantly different(p=0.02). Conclusions : The authors had found that the initial tumor volume and radiation therapy could be clinical prognostic factors for the malignant transformation of low-grade gliomas.

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