XGboost Prediction Model Based on 3.0T Diffusion Kurtosis Imaging Improves the Diagnostic Accuracy of MRI BiRADS 4 Masses

BACKGROUND: The malignant probability of MRI BiRADS 4 breast lesions ranges from 2% to 95%, leading to unnecessary biopsies. The purpose of this study was to construct an optimal XGboost prediction model through a combination of DKI independently or jointly with other MR imaging features and clinica...

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Detalles Bibliográficos
Autores principales: Tang, Wan, Zhou, Han, Quan, Tianhong, Chen, Xiaoyan, Zhang, Huanian, Lin, Yan, Wu, Renhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968064/
https://www.ncbi.nlm.nih.gov/pubmed/35372060
http://dx.doi.org/10.3389/fonc.2022.833680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968064/
https://www.ncbi.nlm.nih.gov/pubmed/35372060
http://dx.doi.org/10.3389/fonc.2022.833680

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