Ultrasound-based machine learning models for predicting response to neoadjuvant chemotherapy in breast cancer: A meta-analysis.

Journal: Clinical imaging
Published Date: Jul 30, 2025

Abstract

BACKGROUND AND AIMS: Breast cancer remains the most common cancer among women globally, with neoadjuvant chemotherapy (NAC) serving as a critical pre-surgical intervention. Ultrasound-based radiomics and machine learning (ML) models offer potential for early prediction of NAC response, aiding personalized treatment strategies. This study systematically reviews the efficacy of ultrasound-based ML models in predicting NAC response in breast cancer patients.

Authors

  • Parya Valizadeh
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.).
  • Payam Jannatdoust
    Department of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Avenue Ste 2315, Los Angeles, CA 90089 (A.H., M.A., P.V., P.J., P.S., A.G.).
  • Niloofar Moradi
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Shirin Yaghoobpoor
    Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Sajjad Toofani
    Student Research Committee, School of Medicine, North Khorasan University of Medical Sciences, Bojnourd, Iran.
  • Nazanin Rafiei
    School of medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Farzan Moodi
    Eye Research Center, The Five Senses Institute, Rassoul Akram Hospital, Iran University of Medical Sciences, Sattarkhan-Niaiesh St., Tehran, 11335, Iran.
  • Hamed Ghorani
    Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran; Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Arvin Arian
    Department of Radiology, School of Medicine, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.

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