Radiomics based on (18)F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study

PURPOSE: Our study assessed the ability (18)F‐fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine‐learning approach. METHODS: Sixty‐five breast nodules from 44 patients diagnosed as breast...

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Bibliographische Detailangaben
Veröffentlicht in:Cancer Med
Hauptverfasser: Ou, Xuejin, Zhang, Jing, Wang, Jian, Pang, Fuwen, Wang, Yongsheng, Wei, Xiawei, Ma, Xuelei
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2019
Schlagworte:
Clinical Cancer Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6970046/
https://ncbi.nlm.nih.gov/pubmed/31769230
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cam4.2711
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