survival analysis: glioma treatment

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. 설치하기 문서의 제목 나눔고딕 B, 42pt Survival Analysis Glioma Treatment 정한빈 이계홍 이은재 최윤형

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Page 1: Survival Analysis: Glioma Treatment

. 설치하기

문서의제목나눔고딕 B, 42pt

Survival AnalysisGlioma Treatment

정한빈 이계홍이은재 최윤형

Page 2: Survival Analysis: Glioma Treatment

1 “What is Glioma?”

2 Glioma data analysis

3 Conclusion

Page 3: Survival Analysis: Glioma Treatment

“What is Glioma?”

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4

01

1 Glioma의정의

• 뇌를 구성하는 조직

• Glioma

• 종양의 구분

Glioma(싞경교종)

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5

01 Glioma(싞경교종)

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6

01

2 Glioma의특징

• 질병의 양상

침투

수술로 완전 제거하는 것이 힘들다 (방사선 치료, 항암화학 치료 병행)

• 발병 현황

10만명당약 2명이발생

Glioma(싞경교종)

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7

01

3 Glioma의 임상적특징

• 일반 증상

두통

신경교종환자의약 1/3이초기증상

• 국소 증상

Glioma(싞경교종)

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01

4 Glioma의 진단

Glioma(싞경교종)

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01 Glioma(싞경교종)

CT MRI

하얗게 나오는 두개골

왼쪽 윗부분의 검정 부분(종양 덩어리)

검게 나오는 두개골

왼쪽 윗부분의 흰 부분(종양 덩어리)

MRI 사진에서더크게발견

Page 10: Survival Analysis: Glioma Treatment

10

01

5 Glioma의 분류 (WHO 기준)

Glioma(싞경교종)

• Low-grade Glioma

• High-grade Glioma

Grade III / GBM( Grade IV) (치료 후 생존기간 50주 이하)

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01 Glioma(싞경교종)

low-grade glioma /GBM GBM patient MRI scanning

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01

6 Glioma의 치료

Glioma(싞경교종)

RIT(방사선치료)

수술적

치료

Grade II Glioma부터는주변정상적인조직을침범 (수술로만완치불가)

Radioimmunotherapy

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01 Glioma(싞경교종)

방사선 치료 전후 비교

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Glioma data

Analysis

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02

1. >glioma

Glioma data Analysis

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02

2. >?glioma

• 설명

Yttrium-90-biotin을 투약하는 방식의 방사성 면역치료를 받는

악성 glioma 환자에 대핚 랜덤화되지 않은 파일럿 연구 (2002)

• 데이터 포맷

다음 7가지 변수에 대핚 37명의 환자의 관찰값

① no, 환자번호② age 환자 나이③ sex 환자 성별 (M-남성 / F-여성) ④ histology 환자 상태 따른 glioma 등급

(GBM-grade IV / Grade 3-grade III) ⑤ time 실험시작-종결 개월수⑥ event 데이터 걸러내는 도구

(False-완치,생존 / True-사망) ⑦ group RIT(방사능면역치료) / Control(대조굮)

Glioma data Analysis

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02

3. 데이터 분석

• Survival fit plot 그리기

• Logrank test 실행

약물과 치료간의 싞뢰성, 상관관계 분석

Glioma data Analysis

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02

> layout(matrix(1:2, ncol = 2)) > g3 <- subset(glioma, histology == "Grade3") > plot(survfit(Surv(time, event) ~ group, data = g3),main = "Grade III Glioma", lty = c(2,1)) > legend("bottomleft", legend=c("Control","Treated"),lty=c(2,1)) > surv_test(Surv(time, event) ~ group, data = g3,distribution = "exact")

Exact Logrank Test

data: Surv(time, event) by group (Control, RIT) Z = 2.1711, p-value = 0.02877 alternative hypothesis: two.sided

> gbm <- subset(glioma, histology == "GBM") > plot(survfit(Surv(time, event) ~ group, data = gbm),main = "Grade IV Glioma", lty = c(2,1)) > legend("topright", legend=c("Control","Treated"),lty=c(2,1)) > surv_test(Surv(time, event) ~ group, data = gbm,distribution = "exact")

Exact Logrank Test

data: Surv(time, event) by group (Control, RIT) Z = 3.2215, p-value = 0.0001588 alternative hypothesis: two.sided

> surv_test(Surv(time, event) ~ group | histology, data = glioma,distribution = approximate(B = 10000))

Approximative Logrank Test

data: Surv(time, event) by group (Control, RIT) stratified by histology

Z = 3.6704, p-value < 2.2e-16 alternative hypothesis: two.sided

Glioma data Analysis

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02

> g3 <- subset(glioma, histology == "Grade3")

> plot(survfit(Surv(time, event) ~ group, data = g3),main = "Grade III Glioma", lty = c(2,1))

> legend("bottomleft", legend=c("Control","Treated"),lty=c(2,1))

> surv_test(Surv(time, event) ~ group, data = g3,distribution = "exact")

Exact Logrank Test

data: Surv(time, event) by group (Control, RIT) Z = 2.1711, p-value = 0.02877 alternative hypothesis: two.sided

Glioma data Analysis

→ g3

g3 data → RIT 실행여부(group)에 따른 실험기간(time)과 생존여부(event)에

관핚 survival fit plot 그림 (legend 설정)

Survival test (logrank test)

p-value = 0.02877 < 0.05

(통계적으로유의→RIT가Glioma grade 3 치료에효과가있다 )

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02

> gbm <- subset(glioma, histology == "GBM")

> plot(survfit(Surv(time, event) ~ group, data = gbm),main = "Grade IV Glioma", lty = c(2,1))

> legend("topright", legend=c("Control","Treated"),lty=c(2,1))

> surv_test(Surv(time, event) ~ group, data = gbm,distribution = "exact")

Exact Logrank Test

data: Surv(time, event) by group (Control, RIT) Z = 3.2215, p-value = 0.0001588 alternative hypothesis: two.sided

Glioma data Analysis

→ gbm

gbm data → RIT 실행여부(group)에 따른 실험기간(time)과 생존여부(event)에

관핚 survival fit plot 그림 (legend 설정)

Survival test (logrank test)

p-value = 0.0001588 < 0.05

(통계적으로유의→RIT가Glioma GBM 치료에효과가있다 )

Page 21: Survival Analysis: Glioma Treatment

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02

> surv_test(Surv(time, event) ~ group | histology, data = glioma,distribution = approximate(B = 10000))

Approximative Logrank Test

data: Surv(time, event) by group (Control, RIT) stratified by histology

Z = 3.6704, p-value < 2.2e-16 alternative hypothesis: two.sided

Glioma data Analysis

→ 통계적 TEST를실행하기엔 너무적은표본수

10000번복원추출하여 logrank test 실행

p-value < 2.2e-16 < 0.05

(통계적으로유의→RIT가Glioma 치료에효과가있다 )

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02

4. 그래프 분석

Glioma data Analysis

→ 사망자 발생시 감소 (계단모양)

→ 치유된 환자: 수직으로 그은 마디

(X축) 실험 시작시점부터의 경과 개월수

(왼쪽 그래프)

Grade III 환자들의 survival plot

실험굮 (1.0→0.8) / 대조굮(1.0 →약 0.3)

(오른쪽 그래프)

Grade IV 환자들의 survival plot

종료시점 생존률이 Grade III보다 낮음

실험굮 (1.0 →60개월 0.4)

대조군(1.0 →30개월이내모두사망)

Page 23: Survival Analysis: Glioma Treatment

Conclusion

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03 Conclusion

•정의 / 특징 / 분류

•짂단 / 치료

Glioma

?

•Survival fit plot

•Logrank test

Glioma Data

Analysis

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03 Conclusion

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03 Conclusion

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03 Conclusion

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03 Conclusion

RIT(방사선치료)

수술적

치료

뇌종양은불치병?

Page 29: Survival Analysis: Glioma Treatment

감사합니다