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Abstract #1897

Towards an optimal breast lesions predictive model by assessing different MRI protocols’ combinations: Radiomics analysis

Gelareh Valizadeh1, Fereshteh Khodadadi Shoushtari2, Soheila Koopaee1, Hanieh Mobarak Salari1, Mohammad Hossein Golezar3, Masomeh Gity4, and Hamidreza Saligheh Rad1,5
1Quantitative MR Imaging and Spectroscopy Group, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 2Shiraz University, Shiraz, Iran (Islamic Republic of), 3Shahed University, Tehran, Iran (Islamic Republic of), 4Tehran university, Tehran, Iran (Islamic Republic of), 5Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of)

Synopsis

Keywords: Multimodal, BreastThis study aimed to assess added value of various combinations of different MRI protocols and artificial intelligence techniques in differentiation capability between malignant and benign breast lesions. 61 benign and 69 malignant lesions were recruited. Radiomics features were extracted from three proposed scenarios, including original images of ADC and T2W (scenario-I), original images of ADC, T2W, and DCE (scenario-II), and the joint of original and the pre-filtered images (using wavelet) from ADC, T2W and DCE (scenario-III). Ten most relevant features were utilized for training 11 machine learning algorithms. Finally, decision tree achieved the highest results of accuracy using scenario-III.

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Keywords