Magnetic resonance imaging texture analysis of breast cancer

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)

Profesor Madya Dr. Jeannie Wong Hsiu Ding_58_KJR_2021_Biyoke_AOCR_2021_KJR_abstracts (1).pdf

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Magnetic resonance imaging; Texture analysis; Breast cancer
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine > Biomedical Imaging Department
Depositing User: Ms Noorsuzila Mohamad
Date Deposited: 07 Oct 2022 03:13
Last Modified: 12 Oct 2022 01:09

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