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Titel:

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.

Dokumenttyp:
Article; Clinical Trial; Journal Article
Autor(en):
Pfob, André; Sidey-Gibbons, Chris; Rauch, Geraldine; Thomas, Bettina; Schaefgen, Benedikt; Kuemmel, Sherko; Reimer, Toralf; Hahn, Markus; Thill, Marc; Blohmer, Jens-Uwe; Hackmann, John; Malter, Wolfram; Bekes, Inga; Friedrichs, Kay; Wojcinski, Sebastian; Joos, Sylvie; Paepke, Stefan; Degenhardt, Tom; Rom, Joachim; Rody, Achim; van Mackelenbergh, Marion; Banys-Paluchowski, Maggie; Große, Regina; Reinisch, Mattea; Karsten, Maria; Golatta, Michael; Heil, Joerg
Abstract:
PURPOSE: 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 re...     »
Zeitschriftentitel:
J Clin Oncol
Jahr:
2022
Band / Volume:
40
Heft / Issue:
17
Seitenangaben Beitrag:
1903-1915
Volltext / DOI:
doi:10.1200/JCO.21.02439
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35108029
Print-ISSN:
0732-183X
TUM Einrichtung:
145; Klinik und Poliklinik für Frauenheilkunde
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