Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model – a feasibility study

BACKGROUND: To evaluate the performance of diffusion-relaxation correlation spectrum imaging (DR-CSI) with support vector machine (SVM) in detecting prostate cancer (PCa). METHODS: In total, 114 patients (mean age, 66 years, range, 48–87 years) who received a prostate MRI and underwent biopsy were e...

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Detalles Bibliográficos
Autores principales: Wei, Xiaobin, Zhu, Li, Zeng, Yanyan, Xue, Ke, Dai, Yongming, Xu, Jianrong, Liu, Guiqin, Liu, Fang, Xue, Wei, Wu, Dongmei, Wu, Guangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795630/
https://www.ncbi.nlm.nih.gov/pubmed/36575555
http://dx.doi.org/10.1186/s40644-022-00516-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795630/
https://www.ncbi.nlm.nih.gov/pubmed/36575555
http://dx.doi.org/10.1186/s40644-022-00516-9

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