Radiomics for early detection of tumour recurrence in patients treated with lung stereotactic ablative radiotherapy (SABR)
department or school: Science, Irving K. Barber Faculty of (Okanagan)
department or school: Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Kunkyab, Tenzin
issued: 2020-08-24T19:29:07Z
issued: 2020
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: For early-stage and medically inoperable non-small-cell lung carcinoma (NSCLC) patients, stereotactic ablative radiotherapy (SABR) is a recommended treatment alternative to surgery, with comparable local control rates. Due to the high radiation dose delivered using SABR, patients often experience a radiation-induced lung injury called fibrosis, which can conceal a developing local recurrence on surveillance imaging scans. Identifying recurrences early and accurately is especially crucial if the patient may need an additional therapy to improve their clinical outcome. In this study, radiomics, an emerging medical image analysis tool, is investigated to determine if it can be used to accurately differentiate a local recurrence from fibrosis. This radiomics study is divided into two parts: first the radiomic features proposed in a previous research study were reevaluated in our patient dataset. The preliminary results showed that the performance of a model based on those radiomic features was not reproducible for the follow-up images from our patient set. Second, a new set of features were proposed and validated using three independent validation sets at different time points of follow-up imaging. Post-treatment computed tomography (CT) scans (n = 168) of 79 patients treated with SABR were included. The training set consisted of 24 months median follow up with 16 recurrences and 31 non recurrences (47 patients in total). Independent validation sets were separated into three cohorts by follow-up CT scans at 24 months (cohort 1), 9 – 12 months (cohort 2), and 5 – 9 months (cohort 3). The top five radiomic features selected from the training set were Dependence Non-Uniformity Normalized, Small Dependence Low Gray Level Emphasis, Run Length Non-Uniformity Normalized, Dependence Non-Uniformity and Small Dependence Emphasis. For validation cohort 1 the true positive rate (TPR) was 70% and true negative rate (TNR) was 100% (AUC = 0.85), for cohort 2 the TPR was 55.6% and TNR …
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/75647
note: Radiomics for early detection of tumour recurrence in patients treated with Lung Stereotactic Ablative Radiotherapy (SABR) by Tenzin Kunkyab B.Sc., Maastricht University, 2017 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE COLLEGE OF GRADUATE STUDIES (Medical Physics) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) August 2020 © Tenzin Kunkyab, 2020 ii The following individuals certify that they have read, and recommend to the College of Graduate Studies for acceptance, a thesis/dissertation entitled: Radiomics for early detection of tumour recurrence in patients treated with lung Stereotactic Ablative Radiotherapy (SABR) submitted by Tenzin Kunkyab in partial fulfillment of the requirements of the degree of Master of Science in Medical Physics. Dr. Derek Hyde (Irving K. Barber Faculty of Science) Supervisor Dr. Andrew Jirasek (Irving K. Barber Faculty of Science) Supervisor Dr. Jeff Andrews (Irving K. Barber Faculty of Science) Supervisory Committee Member Dr. Christina Haston (Irving K. Barber Faculty of Science) Supervisory Committee Member Dr. Sepideh Pakpour (Faculty of Applied Science, School of Engineering) University Examiner iii Abstract For early-stage and medically inoperable non-small-cell lung carcinoma (NSCLC) patients, stereotactic ablative radiotherapy (SABR) is a recommended treatment alternative to surgery, with comparable local control rates. Due to the high radiation dose delivered using SABR, patients often experience a radiation-induced lung injury called fibrosis, which can conceal a developing local recurrence on surveillance imaging scans. Identifying recurrences early and accurately is especially crucial if the patient may need an additional therapy to improve their clinical outcome. In this study, radiomics, an emerging medical image analysis tool, is investigated to determine if it can be used to accurately differentiate a local recurrence from fibrosis. This radiomics study is divid…
has type: Thesis/Dissertation
date issued: 2020-09
is shown at: 10.14288/1.0392922
language: eng
degree discipline: Medical Physics
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/75647