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Cancer is a health problem. One of the cancer treatment is radiotherapy. Radiotherapy is a treatment technique using radiation. Prior to treatment is do the planning process called the Treatment Planning System (TPS). TPS is used to determine the dose distribution that would result in the body of th...

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Main Author: RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22640
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22640
spelling id-itb.:226402017-09-27T11:45:22Z#TITLE_ALTERNATIVE# RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22640 Cancer is a health problem. One of the cancer treatment is radiotherapy. Radiotherapy is a treatment technique using radiation. Prior to treatment is do the planning process called the Treatment Planning System (TPS). TPS is used to determine the dose distribution that would result in the body of the selected beam. The aim of this thesis was to analyze the DVH confidence by giving the fraction of variation in the case of prostate cancer patients by using software Computational Environment for Radiotherapy Research (CERR). This study used the results of a CT scan two prostate cancer patients. Radiation techniques used seven field consisting of AP, RAO, RT Lat, RPO, LPO, LT Lat, and LAO. Features used on CERR is a plan robustness analysis by varying the fraction administration. This feature has four parameters, namely fraction, trial, systematic and random error. Determining the fraction of selected variation is 16, 36, 56, and 76 fractions for bladder and targets. Determination of systematic and random error chosen is 0.85 cm to the front, 0.59 cm to the right and 1.19 cm up to the bladder, as well as 1 cm to the front, 1 cm to the right and 1 cm upwards to the target. The bandwidth increases exponentially DVH not a given fraction. The width of the ribbon DVH thinnest to the patient 1 is shown in 36 fractions for bladder and 56 fractions to the target, while the patients are shown in 56 fractions for bladder and targets. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Cancer is a health problem. One of the cancer treatment is radiotherapy. Radiotherapy is a treatment technique using radiation. Prior to treatment is do the planning process called the Treatment Planning System (TPS). TPS is used to determine the dose distribution that would result in the body of the selected beam. The aim of this thesis was to analyze the DVH confidence by giving the fraction of variation in the case of prostate cancer patients by using software Computational Environment for Radiotherapy Research (CERR). This study used the results of a CT scan two prostate cancer patients. Radiation techniques used seven field consisting of AP, RAO, RT Lat, RPO, LPO, LT Lat, and LAO. Features used on CERR is a plan robustness analysis by varying the fraction administration. This feature has four parameters, namely fraction, trial, systematic and random error. Determining the fraction of selected variation is 16, 36, 56, and 76 fractions for bladder and targets. Determination of systematic and random error chosen is 0.85 cm to the front, 0.59 cm to the right and 1.19 cm up to the bladder, as well as 1 cm to the front, 1 cm to the right and 1 cm upwards to the target. The bandwidth increases exponentially DVH not a given fraction. The width of the ribbon DVH thinnest to the patient 1 is shown in 36 fractions for bladder and 56 fractions to the target, while the patients are shown in 56 fractions for bladder and targets.
format Final Project
author RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA
spellingShingle RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA
#TITLE_ALTERNATIVE#
author_facet RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA
author_sort RIZKYDIANITA SEPTRIMA (NIM : 10212035), ISNA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/22640
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