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Adherence to and optimization of guidelines for Risk of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study

2024-03-19

Abstract excerpt

<title>Abstract</title> <p>Purpose Gene expression profiles are used for decision making in the adjuvant setting of hormone receptor positive, HER2 negative (HR+/HER2-) breast cancer. Previous studies have reported algorithms to optimize the use of RS/Oncotype Dx but no such efforts have focused on ROR/Prosigna. We sought to improve pe-selection of patients before testing using machine learning. Methods Postmen...

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Literature Corpus work
f24d1c38-7b76-5370-8824-d754269bc568
DOI
10.21203/rs.3.rs-4110196/v1
Open publication

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Adherence to and optimization of guidelines for Risk of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter studyDOI 10.21203/rs.3.rs-4110196/v1
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