18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma

18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma

Abstract Purpose Multiple myeloma (MM), the second most hematological malignancy, have been studied extensively in the prognosis of the clinical parameters, however there are only a few studies have discussed the role of dual modalities and multiple algorithms of 18F-FDG (18F-fluorodeoxyglucose) PET...

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Bibliographic Details
Main Authors: Haoshu Zhong, Delong Huang, Junhao Wu, Xiaomin Chen, Yue Chen, Chunlan Huang
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Medical Imaging
Subjects:
Multiple myeloma
Prognostic prediction
18F‑FDG PET/CT
Machine-learning
Radiomics
Online Access:https://doi.org/10.1186/s12880-023-01033-2

Internet

https://doi.org/10.1186/s12880-023-01033-2

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