Literature DB >> 30390383

Role of texture analysis in breast MRI as a cancer biomarker: A review.

Rhea D Chitalia1, Despina Kontos1.   

Abstract

Breast cancer is a known heterogeneous disease. Current clinically utilized histopathologic biomarkers may undersample tumor heterogeneity, resulting in higher rates of misdiagnosis for breast cancer. MRI can provide a whole-tumor sampling of disease burden and is widely utilized in clinical care. Texture analysis can provide a localized description of breast cancer, with particular emphasis on quantifying breast lesion heterogeneity. The object of this review is to provide an overview of texture analysis applications towards breast cancer diagnosis, prognosis, and treatment response evaluation and review the role of image-based texture features as noninvasive prognostic and predictive biomarkers. Level of Evidence: 5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:927-938.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  breast cancer; image texture; imaging biomarkers; radiomics

Year:  2018        PMID: 30390383     DOI: 10.1002/jmri.26556

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  29 in total

1.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

2.  Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer.

Authors:  Xiao-Li Song; Jia-Liang Ren; Ting-Yu Yao; Dan Zhao; Jinliang Niu
Journal:  Eur Radiol       Date:  2021-05-04       Impact factor: 5.315

Review 3.  Precision diagnostics based on machine learning-derived imaging signatures.

Authors:  Christos Davatzikos; Aristeidis Sotiras; Yong Fan; Mohamad Habes; Guray Erus; Saima Rathore; Spyridon Bakas; Rhea Chitalia; Aimilia Gastounioti; Despina Kontos
Journal:  Magn Reson Imaging       Date:  2019-05-06       Impact factor: 2.546

Review 4.  Machine learning in breast MRI.

Authors:  Beatriu Reig; Laura Heacock; Krzysztof J Geras; Linda Moy
Journal:  J Magn Reson Imaging       Date:  2019-07-05       Impact factor: 4.813

5.  Association between breast cancer's prognostic factors and 3D textural features of non-contrast-enhanced T1 weighted breast MRI.

Authors:  Anni Lepola; Otso Arponen; Hidemi Okuma; Kirsi Holli-Helenius; Heikki Junkkari; Mervi Könönen; Päivi Auvinen; Mazen Sudah; Anna Sutela; Ritva Vanninen
Journal:  Br J Radiol       Date:  2021-12-08       Impact factor: 3.039

6.  Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods.

Authors:  Heather M Whitney; Hui Li; Yu Ji; Peifang Liu; Maryellen L Giger
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-11-21       Impact factor: 10.961

7.  Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.

Authors:  Jiejie Zhou; Yang Zhang; Kai-Ting Chang; Kyoung Eun Lee; Ouchen Wang; Jiance Li; Yezhi Lin; Zhifang Pan; Peter Chang; Daniel Chow; Meihao Wang; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2019-11-01       Impact factor: 4.813

8.  Value of Conventional MRI Texture Analysis in the Differential Diagnosis of Phyllodes Tumors and Fibroadenomas of the Breast.

Authors:  Nianping Jiang; Li Zhong; Chunlai Zhang; Xiangguo Luo; Peng Zhong; Xiaoguang Li
Journal:  Breast Care (Basel)       Date:  2020-06-23       Impact factor: 2.860

9.  Preoperative prediction of axillary lymph node metastasis in patients with breast cancer based on radiomics of gray-scale ultrasonography.

Authors:  Wei-Jun Zhou; Yi-Dan Zhang; Wen-Tao Kong; Chao-Xue Zhang; Bing Zhang
Journal:  Gland Surg       Date:  2021-06

10.  Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer.

Authors:  Lirong Song; Chunli Li; Jiandong Yin
Journal:  Front Oncol       Date:  2021-06-08       Impact factor: 6.244

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