Radiomics and Deep Learning Methods in Expanding the Use of Screening Breast MRI

Overview

Journal Eur Radiol

Specialty Radiology

Date 2021 May 20

PMID 34014381

Citations 5

Authors

Beatriu Reig

Affiliations

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Abstract

• The use of screening breast MRI is expanding beyond high-risk women to include intermediate- and average-risk women.• The study by Pötsch et al uses a radiomics-based method to decrease the number of benign biopsies while maintaining high sensitivity.• Future studies will likely increasingly focus on deep learning methods and abbreviated MRI data.

Citing Articles

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False-positive incidental lesions detected on contrast-enhanced breast MRI: clinical and imaging features.

Alikhassi A, Li X, Au F, Kulkarni S, Ghai S, Allison G Breast Cancer Res Treat. 2023; 198(2):321-334.

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Improving breast cancer diagnostics with deep learning for MRI.

Witowski J, Heacock L, Reig B, Kang S, Lewin A, Pysarenko K Sci Transl Med. 2022; 14(664):eabo4802.

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Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.

Peng Y, Cheng Z, Gong C, Zheng C, Zhang X, Wu Z Front Oncol. 2022; 12:846775.

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Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.

Satake H, Ishigaki S, Ito R, Naganawa S Radiol Med. 2021; 127(1):39-56.

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