Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer

Conventionally, 18F-FDG PET/CT is evaluated through biomarker matrices for example metabolic tumour volume (MTV) and standardised uptake values (SUVs) for cancer prognosis. However, they do not quantify tumour heterogeneity that induces resistance to treatment. Radiomics may quantify tumour heteroge...

Full description

Bibliographic Details
Main Author: Anan, Noushin
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://eprints.usm.my/63034/
Abstract Abstract here
_version_ 1855633289088335872
author Anan, Noushin
author_facet Anan, Noushin
author_sort Anan, Noushin
description Conventionally, 18F-FDG PET/CT is evaluated through biomarker matrices for example metabolic tumour volume (MTV) and standardised uptake values (SUVs) for cancer prognosis. However, they do not quantify tumour heterogeneity that induces resistance to treatment. Radiomics may quantify tumour heterogeneity by recognising features and patterns present in the 18F-FDG PET/CT. The radiomics feature of 18F-FDG PET/CT need to be accurate in other words robust for different segmentation settings. This study aimed to investigate the robustness of 18F-FDG PET/CT radiomics features for image-based biomarker development for head and neck cancer diagnosis.
first_indexed 2025-12-24T00:13:20Z
format Thesis
id usm-63034
institution Universiti Sains Malaysia
language English
last_indexed 2025-12-24T00:13:20Z
publishDate 2023
record_format EPrints
record_pdf Restricted
spelling usm-630342025-10-22T06:37:37Z http://eprints.usm.my/63034/ Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer Anan, Noushin R5-920 Medicine (General) Conventionally, 18F-FDG PET/CT is evaluated through biomarker matrices for example metabolic tumour volume (MTV) and standardised uptake values (SUVs) for cancer prognosis. However, they do not quantify tumour heterogeneity that induces resistance to treatment. Radiomics may quantify tumour heterogeneity by recognising features and patterns present in the 18F-FDG PET/CT. The radiomics feature of 18F-FDG PET/CT need to be accurate in other words robust for different segmentation settings. This study aimed to investigate the robustness of 18F-FDG PET/CT radiomics features for image-based biomarker development for head and neck cancer diagnosis. 2023-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63034/1/Pages%20from%20NOUSHIN%20ANAN%20-%20TESIS.pdf Anan, Noushin (2023) Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer. Masters thesis, Universiti Sains Malaysia.
spellingShingle R5-920 Medicine (General)
Anan, Noushin
Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
thesis_level Master
title Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
title_full Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
title_fullStr Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
title_full_unstemmed Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
title_short Investigation Of Robustness Of 18f-Fdg Pet/Ct Radiomics Features For The Development Of Image Based Biomarkers For Head And Neck Cancer
title_sort investigation of robustness of 18f fdg pet ct radiomics features for the development of image based biomarkers for head and neck cancer
topic R5-920 Medicine (General)
url http://eprints.usm.my/63034/
work_keys_str_mv AT anannoushin investigationofrobustnessof18ffdgpetctradiomicsfeaturesforthedevelopmentofimagebasedbiomarkersforheadandneckcancer