• 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.

• 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%.

• Investigative Magnetic Resonance Imaging
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• 제26권2호
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• pp.104-116
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• 2022

The purpose of this study is to systematically determine an optimal percentile cut-off in histogram analysis for calculating the mean parameters obtained from a non-Gaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm²) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (D_m) along with temporal (𝛼) and spatial (𝛽) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student's t-test) for the statistical differences in the mean D_m, 𝛼, or 𝛽 for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations. We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for D_m, 𝛼, and 𝛽 to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs. 0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.

• 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.

• 대한핵의학회:학술대회논문집
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• 대한핵의학회 1995년도 제34차 춘계학술대회 초록집
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• pp.189-189
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• 1995

• Journal of Korean Neurosurgical Society
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• 제39권3호
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• pp.176-182
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• 2006

Objective : This study concernes the usefulness of $^{11}C-methyl-L-and$ D-methionine[Met]-positron emission tomography[PET] for glioma grading and detection of recurrence in gliomas, compared with fluorine-18, 2-fluoro-deoxyglucose[FDG]-PET. Methods : Eighty patients underwent Met-PET study for evaluation of glioma : 37 astrocytomas [WHO grade II, 3; III, 8; IV, 26]. 27 oligodendrogliomas [WHO grade II, 16; III, 11]. and 12 suspicious recurrent gliomas. All images were taken within 2 weeks before operation. For suspicious recurrent cases on magnetic resonance images, both FDG-PET and Met-PET were performed. Results : In astrocytoma, Mean maximum standard uptake value[SUV] of region of interest[ROI] was not different between WHO grades [p=0.108]. but ROI/normal contralateral tissue SUV [T/N] ratio was statistically different between WHO grades [p=0.002]. T/N ratio was more closely related to visual scale than maximum SUV of ROI [p<0.001 and p=0.107 respectively]. In oligodendroglioma, there was no statistical difference between WHO grades in view of maximum SUV and T/N ratio. For recurrent gliomas, sensitivity of FDG-PET and Met-PET was 25% and 100%, while specificity of FDG-PET and Met-PET were 100% and 80%, respectively. Conclusion : Met-PET might be an appropriate tool for tumor grading in astrocytoma and be more sensitive for detection of recurrence in gliomas than FDG-PET.

• Journal of Korean Neurosurgical Society
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• 제66권4호
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• pp.465-475
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• 2023

Objective : Our objective is to analyze the occurrence, clinical course and risk factors for glioma patients with leptomeningeal metastasis (LM) according to different metastasis patterns and clinical variables. Methods : We retrospectively reviewed data from 376 World Health Organization (WHO) grade II-IV adult glioma patients who were treated in the National Cancer Center from 2001 to 2020. Patients who underwent surgery at other institutions, those without initial images or those with pathologically unconfirmed cases were excluded. LM was diagnosed based on magnetic resonance imaging (MRI) findings or cerebrospinal fluid (CSF) cytology. The metastasis pattern was categorized as nodular or linear according to the enhancement pattern. Tumor proximity to the CSF space was classified as involved or separated, whereas location of the tumor was dichotomized as midline, for tumors residing in the thalamus, basal ganglia and brainstem, or lateral, for tumors residing in the cerebral and cerebellar hemispheres. Results : A total of 138 patients were enrolled in the study. A total of 44 patients (38%) were diagnosed with LM during a median follow-up of 9 months (range, 0-60). Among the clinical variables, tumor proximity to CSF space, the location of the tumor and the WHO grade were significant factors for LM development in univariate analysis. In multivariate analysis, the midline location of the tumor and WHO grade IV gliomas were the most significant factor for LM development. The hazard ratio was 2.624 for midline located gliomas (95% confidence interval [CI], 1.384-4.974; p=0.003) and 3.008 for WHO grade IV gliomas (95% CI, 1.379-6.561; p=0.006). Conclusion : Midline location and histological grading are an important factor for LM in glioma patients. The proximity to the CSF circulation pathway is also an important factor for WHO grade IV glioma LM. Patients carrying high risks should be followed up more thoroughly.

• Journal of Yeungnam Medical Science
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• 제8권2호
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• pp.63-69
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• 1991

신경교종에서 핵소체 조성부를 측정하기 위해 18예의 인체 신경교종을 대상으로 은교질염색을 시행하였다. 그 결과 정상뇌의 성상세포는 $1.17{\pm}0.07$의 핵소체 조성부수를 보였고 성상세포종의 핵소체 조성부수는 $1.53{\pm}0.25$, 악성 성상세포종은 $2.37{\pm}0.71$, 다형성 신경교아종은 $2.88{\pm}0.41$이었으며 각 군들간에 유의한 차이를 보였다. 그래서 은교질 염색법에 의한 핵소체 조성부의 측정은 환자에게 부담을 주지 않는 비교적 간단하고 빠른 방법으로 신경교종의 증식능을 판정하는데 어느정도 도움이 될 것으로 생각한다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권9호
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• pp.4079-4083
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• 2014

Background: Previous studies have showed that argonaute 2 is a potential factor related to genesis of several cancers, however, there have been no reports concerning gliomas. Methods: Paraffin specimens of 129 brain glioma cases were collected from a hospital affiliated to Binzhou Medical University from January 2008 to July 2013. We examined both argonaute 2 mRNA and protein expression by real-time quantitative PCR (qRT-PCR), Western blot analysis, and immunohistochemistry (IHC). The survival curves of the patients were determined using the Kaplan-Meier method and Cox regression, and the log-rank test was used for statistical evaluations. Results: Both argonaute 2 mRNA and protein were upregulated in high-grade when compared to low-grade tumor tissues. Multivariate analysis revealed that argonaute 2 protein expression was independently associated with the overall survival (HR=4.587, 95% CI: 3.001-6.993; P=0.002), and that argonaute 2 protein expression and WHO grading were independent prognostic factors for progression-free survival (HR=4.792, 95% CI: 3.993-5.672; P<0.001, and HR=2.109, 95% CI: 1.278-8.229; P=0.039, respectively). Kaplan-Meier analysis with the log-rank test indicated that high argonaute 2 protein expression had a significant impact on overall survival (P=0.0169) and progression-free survival (P=0.0324). Conclusions: The present study showed that argonaute 2 expression is up-regulated in gliomas. Argonaute 2 might also serve as a novel prognostic marker.

• 대한방사선기술학회지:방사선기술과학
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• 제32권4호
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• pp.461-469
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• 2009

최근 신경계 질환의 진단에 많이 이용되는 관류자기공명영상기법 중 상대적 뇌 혈류량(relative cerebral blood volume)의 분석에 의한 뇌교종의 악성도 구분(고등급과 저등급 종양의 구분)에 있어 자기공명영상의 뇌 혈류량 검사의 유용성에 대하여 알아보고자 하였다. 뇌교종 환자 17명(평균연령 57.5세, 남자 11명, 여자 6명)을 대상으로 모든 환자에게 수술 전 관류자기공명 영상과 고식적 뇌 자기공명영상을 시행하고, 조직의 병리학적 검사를 시행하였다. 국소적 뇌 혈류량과 상대적 뇌 혈류량의 분석은 지멘스사의 소프트웨어(PAT)와 자체 개발한 영상 후 처리 소프트웨어 Xmap 2.0을 이용하여 비교, 분석하였다. 대상자 17명 중 뇌교종이 저등급인 6명과 고등급인 11명의 관류자기공명영상의 분석 결과는 저등급 뇌교종의 상대적 뇌 혈류량의 백질에 대한 종양부위의 평균 뇌 혈류량(rCBVw)의 평균은 1.62, 피질에 대한 종양부위의 평균 뇌 혈류량(rCBVc)의 평균은 0.12이었다. 고등급 뇌교종의 상대적 뇌 혈류량의 rCBVw의 평균은 33.53, rCBVc의 평균은 0.96이었다. 뇌교종과 반대측 뇌 백질과의 통계적인 상관성은 0.01(p-value)이었고. 뇌교종과 반대측 피질과의 통계적인 상관성은 0.02(p-value)로 나타났다. 결과 중 뇌교종과 뇌 백질의 통계분석수치가 뇌교종과 피질과의 통계분석 결과보다 더 유의한 결과를 나타내었다. 결국 두 가지 모두에서 유의한 결과를 나타냄을 알 수 있었다(p<0.05). 임상적으로 기존의 자기공명영상과 병리학적 결과와 함께 관류자기공명영상은 뇌교종의 등급을 판단하는데 있어 유용할 것으로 사료된다.