Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer

• Aaquib Syed,

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Radiology, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

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• Richard Adam,

  Roles Supervision, Writing – original draft, Writing – review & editing

  Affiliation Department of Radiology, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

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• Thomas Ren,

  Roles Investigation, Software, Supervision, Validation

  Affiliation Department of Radiology, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

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• Jinyu Lu,

  Roles Supervision, Writing – original draft, Writing – review & editing

  Affiliation Oncology Division, Department of Medicine, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

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• Takouhie Maldjian,

  Roles Conceptualization, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Radiology, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

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• Tim Q. Duong

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: Tim.duong@einsteinmed.org

  Affiliation Department of Radiology, Montefiore Health System and Albert Einstein College of Medicine, Bronx, New York, United States of America

  https://orcid.org/0000-0001-6403-2827

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