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      Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery.

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          Abstract

          Neoadjuvant systemic treatment (NST) elicits a pathologic complete response in 40%-70% of women with breast cancer. These patients may not need surgery as all local tumor has already been eradicated by NST. However, nonsurgical approaches, including imaging or vacuum-assisted biopsy (VAB), were not able to accurately identify patients without residual cancer in the breast or axilla. We evaluated the feasibility of a machine learning algorithm (intelligent VAB) to identify exceptional responders to NST.

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          Author and article information

          Journal
          J Clin Oncol
          Journal of clinical oncology : official journal of the American Society of Clinical Oncology
          American Society of Clinical Oncology (ASCO)
          1527-7755
          0732-183X
          Jun 10 2022
          : 40
          : 17
          Affiliations
          [1 ] University Breast Unit, Department of Obstetrics & Gynecology, Heidelberg University Hospital, Heidelberg, Germany.
          [2 ] MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX.
          [3 ] Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX.
          [4 ] Institute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
          [5 ] Coordination Centre for Clinical Trials (KKS), University Heidelberg, Heidelberg, Germany.
          [6 ] Breast Unit, Kliniken Essen-Mitte, Essen, Germany.
          [7 ] Department of Gynecology/Breast Unit, University Hospital Rostock, Rostock, Germany.
          [8 ] Department of Gynecology/Breast Unit, University Hospital Tuebingen, Tuebingen, Germany.
          [9 ] Department of Gynecology and Gynecological Oncology/Breast Unit, Agaplesion Markus Hospital Frankfurt, Frankfurt, Germany.
          [10 ] Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Gynecology with Breast Center, Berlin, Germany.
          [11 ] Department of Gynecology/Breast Unit, Marienhospital, Witten, Germany.
          [12 ] Department of Gynecology and Obstetrics, Breast Cancer Center, Medical Faculty, University of Cologne, Cologne, Germany.
          [13 ] Department of Gynecology/Breast Unit, University Hospital Ulm, Ulm, Germany.
          [14 ] Department of Gynecology/Breast Unit, Jerusalem Hospital Hamburg, Hamburg, Germany.
          [15 ] Department of Gynecology and Obstetrics, Breast Cancer Center, Klinikum Bielefeld Mitte GmbH, Bielefeld, Germany.
          [16 ] Radiologische Allianz Hamburg, Hamburg, Germany.
          [17 ] Department of Gynecology/Breast Unit, Hospital rechts der Isar, Munich, Germany.
          [18 ] Department of Gynecology/Breast Unit, University Hospital Munich, Munich, Germany.
          [19 ] Department of Gynecology/Breast Unit, Klinikum Frankfurt-Höchst, Frankfurt, Germany.
          [20 ] Department of Gynecology/Breast Unit, University Hospital Schleswig-Holstein, Luebeck, Germany.
          [21 ] Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
          [22 ] Department of Gynecology/Breast Unit, University Hospital Halle, Halle, Germany.
          Article
          10.1200/JCO.21.02439
          35108029
          52d2f7df-d01d-41f7-994e-b9adb9cc0ed9
          History

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