Performance of a Logistic Regression Model Using Paired miRNAs to Stratify Abnormal Mammograms for Benign Breast Lesions

Performance of a Logistic Regression Model Using Paired miRNAs to Stratify Abnormal Mammograms for Benign Breast Lesions

ABSTRACT Background Mammography is effective in reducing breast cancer mortality, but it has false positive results that cause subsequent interventions such as biopsy or interval repeat mammography. Thus, there is a clinical unmet need for accurate molecular classifiers that can reduce unnecessary a...

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Bibliographic Details
Main Authors: Hideo Akiyama, Lora Barke, Therese B. Bevers, Suzanne J. Rose, Jennifer J. Hu, Kelly A. McAleese, Shellie S. Campos, Satoshi Kondou, Jun Atsumi, Thomas F. Soriano
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Cancer Medicine
Subjects:
abnormal mammogram
benign breast lesions
breast cancer
liquid biopsy
serum miRNA
Online Access:https://doi.org/10.1002/cam4.70767
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https://doi.org/10.1002/cam4.70767

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