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Magnetic resonance imaging texture analysis of breast cancer

Application of texture-based radiomics to breast magnetic resonance images (MRI) for predicting and diagnosing breast cancer.84 lesions with histopathologically confirmed primary breast cancer were retrospectively evaluated. 3D volumetric breast lesions were segmented from subtracted dynamic contras...

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Main Authors: Ng, Bi Yoke, Tang, Zi Ying, Tan, Li Kuo, Rahmat, Kartini, Ramli, Marlina Tanty, Wong, Jeannie Hsiu Ding
Format: Conference or Workshop Item
Language:English
Subjects:
R Medicine (General)
Online Access:http://eprints.um.edu.my/35236/1/Profesor%20Madya%20Dr.%20Jeannie%20Wong%20Hsiu%20Ding_58_KJR_2021_Biyoke_AOCR_2021_KJR_abstracts%20%281%29.pdf
http://eprints.um.edu.my/35236/
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spelling my.um.eprints.352362022-10-12T01:09:36Z http://eprints.um.edu.my/35236/ Magnetic resonance imaging texture analysis of breast cancer Ng, Bi Yoke Tang, Zi Ying Tan, Li Kuo Rahmat, Kartini Ramli, Marlina Tanty Wong, Jeannie Hsiu Ding R Medicine (General) Application of texture-based radiomics to breast magnetic resonance images (MRI) for predicting and diagnosing breast cancer.84 lesions with histopathologically confirmed primary breast cancer were retrospectively evaluated. 3D volumetric breast lesions were segmented from subtracted dynamic contrast-enhanced (DCE) images. The segmented 3D mask (region of interest) was applied to different MRI sequences (T1-weighted, T2-weighted, STIR, DCE Phase 2, subtracted Phase 2) for texture analysis (TA) of the lesion using MATLAB software. TA of contralateral normal breast tissues were also performed for comparison. The texture features were used to analyze and classify immunohistochemical subtypes, histopathological grades and MRI kinetic curves using Kruskal-Wallis test and Random Forest classification. Validation of radiomics model was carried out using leave one-out-crossvalidation. Conference or Workshop Item PeerReviewed text en http://eprints.um.edu.my/35236/1/Profesor%20Madya%20Dr.%20Jeannie%20Wong%20Hsiu%20Ding_58_KJR_2021_Biyoke_AOCR_2021_KJR_abstracts%20%281%29.pdf Ng, Bi Yoke and Tang, Zi Ying and Tan, Li Kuo and Rahmat, Kartini and Ramli, Marlina Tanty and Wong, Jeannie Hsiu Ding Magnetic resonance imaging texture analysis of breast cancer. In: 19th Asian Oceanian Congress of Radiology Incorporating Malaysian Congress of Radiology, 1-4 July 2021, Kuala Lumpur (Virtual). (Submitted)
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Ng, Bi Yoke
Tang, Zi Ying
Tan, Li Kuo
Rahmat, Kartini
Ramli, Marlina Tanty
Wong, Jeannie Hsiu Ding
Magnetic resonance imaging texture analysis of breast cancer
description Application of texture-based radiomics to breast magnetic resonance images (MRI) for predicting and diagnosing breast cancer.84 lesions with histopathologically confirmed primary breast cancer were retrospectively evaluated. 3D volumetric breast lesions were segmented from subtracted dynamic contrast-enhanced (DCE) images. The segmented 3D mask (region of interest) was applied to different MRI sequences (T1-weighted, T2-weighted, STIR, DCE Phase 2, subtracted Phase 2) for texture analysis (TA) of the lesion using MATLAB software. TA of contralateral normal breast tissues were also performed for comparison. The texture features were used to analyze and classify immunohistochemical subtypes, histopathological grades and MRI kinetic curves using Kruskal-Wallis test and Random Forest classification. Validation of radiomics model was carried out using leave one-out-crossvalidation.
format Conference or Workshop Item
author Ng, Bi Yoke
Tang, Zi Ying
Tan, Li Kuo
Rahmat, Kartini
Ramli, Marlina Tanty
Wong, Jeannie Hsiu Ding
author_facet Ng, Bi Yoke
Tang, Zi Ying
Tan, Li Kuo
Rahmat, Kartini
Ramli, Marlina Tanty
Wong, Jeannie Hsiu Ding
author_sort Ng, Bi Yoke
title Magnetic resonance imaging texture analysis of breast cancer
title_short Magnetic resonance imaging texture analysis of breast cancer
title_full Magnetic resonance imaging texture analysis of breast cancer
title_fullStr Magnetic resonance imaging texture analysis of breast cancer
title_full_unstemmed Magnetic resonance imaging texture analysis of breast cancer
title_sort magnetic resonance imaging texture analysis of breast cancer
url http://eprints.um.edu.my/35236/1/Profesor%20Madya%20Dr.%20Jeannie%20Wong%20Hsiu%20Ding_58_KJR_2021_Biyoke_AOCR_2021_KJR_abstracts%20%281%29.pdf
http://eprints.um.edu.my/35236/
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score 13.211869

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