Literature DB >> 34014381

Radiomics and deep learning methods in expanding the use of screening breast MRI.

Beatriu Reig1.   

Abstract

KEY POINTS: • 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.

Entities:  

Year:  2021        PMID: 34014381     DOI: 10.1007/s00330-021-08056-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  2 in total

Review 1.  Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.

Authors:  Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Shinji Naganawa
Journal:  Radiol Med       Date:  2021-10-26       Impact factor: 3.469

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

Authors:  Yunsong Peng; Ziliang Cheng; Chang Gong; Chushan Zheng; Xiang Zhang; Zhuo Wu; Yaping Yang; Xiaodong Yang; Jian Zheng; Jun Shen
Journal:  Front Oncol       Date:  2022-03-10       Impact factor: 6.244

  2 in total

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