Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy

碩士 === 國立高雄科技大學 === 電子工程系 === 107 === Purpose : To assess the dose-volume factors analysis of radiation - induced hepatic toxicity (RIHT) in patients with hepatocellular carcinoma (HCC) after radiotherapy. Materials and methods : The study is retrospectively collected between 2014 and 2017, 114 pati...

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Main Authors: LU,WEI-HAN, 呂維翰
Other Authors: Tsair-Fwu Lee
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/pan373
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spelling ndltd-TW-107NKUS04270332019-08-03T15:50:41Z http://ndltd.ncl.edu.tw/handle/pan373 Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy 肝細胞癌患者接受放射治療後誘發肝臟毒性併發症 之劑量-體積因子分析 LU,WEI-HAN 呂維翰 碩士 國立高雄科技大學 電子工程系 107 Purpose : To assess the dose-volume factors analysis of radiation - induced hepatic toxicity (RIHT) in patients with hepatocellular carcinoma (HCC) after radiotherapy. Materials and methods : The study is retrospectively collected between 2014 and 2017, 114 patients with HCC underwent intensity modulation radiation therapy (IMRT). Of those, liver dose - volume receiving of less than 700 cc and extreme value excluded with remain only 69 patients and to use the bootstrapping of reached 138 samples. Assess blood draw rises level during the course of the patient's treatment RIHT was scored using the Common Terminology Criteria for Adverse Events (CTCAE). The predictor's analysis, we use patient’s dose - volume factors the may cause RIHT, And two kinds of selection algorithm by least absolute shrinkage and selection operator (LASSO), bayesian network (BN) to select the risk predictors. Furthermore, the classification models of the selected risk predictors, all risk predictors were established two kinds of algorithms by logistic regression (LR), naive bayes (NB). Finally, uses the area under the receiver operating characteristic curve (AUC), accuracy (ACC) and negative predictive value (NPV) was compared. Results : The patients predicted risk dose-volume factors of classification models with AUC, ACC and NPV. First, LASSO select on LR models:normal liver volume receiving 30 Gy (NLV30), 0.76, 0.65, 0.72. Second LASSO select on LR models:total liver volume receiving 30 Gy (TLV30), 0.84, 0.72, 0.72. Third BN select on NB models:total liver volume receiving 45 & 20 Gy (TLV45&20), 0.72, 0.76, 0.73. Conclusions : The results of this study showed should be limited to the NLV30 Gy, TLV30 Gy, TLV20 Gy as risk predictors of RIHT after IMRT for unresectable HCC, and could reach liver organ with low tolerance for radiation. The advantage of selection factors can be provided to physicians for better decision-making. Tsair-Fwu Lee 李財福 2019 學位論文 ; thesis 73 zh-TW
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description 碩士 === 國立高雄科技大學 === 電子工程系 === 107 === Purpose : To assess the dose-volume factors analysis of radiation - induced hepatic toxicity (RIHT) in patients with hepatocellular carcinoma (HCC) after radiotherapy. Materials and methods : The study is retrospectively collected between 2014 and 2017, 114 patients with HCC underwent intensity modulation radiation therapy (IMRT). Of those, liver dose - volume receiving of less than 700 cc and extreme value excluded with remain only 69 patients and to use the bootstrapping of reached 138 samples. Assess blood draw rises level during the course of the patient's treatment RIHT was scored using the Common Terminology Criteria for Adverse Events (CTCAE). The predictor's analysis, we use patient’s dose - volume factors the may cause RIHT, And two kinds of selection algorithm by least absolute shrinkage and selection operator (LASSO), bayesian network (BN) to select the risk predictors. Furthermore, the classification models of the selected risk predictors, all risk predictors were established two kinds of algorithms by logistic regression (LR), naive bayes (NB). Finally, uses the area under the receiver operating characteristic curve (AUC), accuracy (ACC) and negative predictive value (NPV) was compared. Results : The patients predicted risk dose-volume factors of classification models with AUC, ACC and NPV. First, LASSO select on LR models:normal liver volume receiving 30 Gy (NLV30), 0.76, 0.65, 0.72. Second LASSO select on LR models:total liver volume receiving 30 Gy (TLV30), 0.84, 0.72, 0.72. Third BN select on NB models:total liver volume receiving 45 & 20 Gy (TLV45&20), 0.72, 0.76, 0.73. Conclusions : The results of this study showed should be limited to the NLV30 Gy, TLV30 Gy, TLV20 Gy as risk predictors of RIHT after IMRT for unresectable HCC, and could reach liver organ with low tolerance for radiation. The advantage of selection factors can be provided to physicians for better decision-making.
author2 Tsair-Fwu Lee
author_facet Tsair-Fwu Lee
LU,WEI-HAN
呂維翰
author LU,WEI-HAN
呂維翰
spellingShingle LU,WEI-HAN
呂維翰
Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
author_sort LU,WEI-HAN
title Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
title_short Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
title_full Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
title_fullStr Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
title_full_unstemmed Dose-Volume Factors Analysis for Radiation-Induced Hepatic Toxicity in Patients with Hepatocellular Carcinoma after Radiotherapy
title_sort dose-volume factors analysis for radiation-induced hepatic toxicity in patients with hepatocellular carcinoma after radiotherapy
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/pan373
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