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: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Subjects: | |
| 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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| Summary: | 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. |
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