Concepedia

MRI radiomics predicts progression-free survival in prostate cancer

Yushan Jia, Shuai Quan, Jialiang Ren, Hui Wu, Aishi Liu, Yang Gao, Fene Hao, Zhenxing Yang, Tong Zhang, He Hu

Frontiers in Oncology · 2022 · 16 citations · 29 references

DOIFull text

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Abstract

The hybrid model constructed from radiomics and clinical data showed excellent performance in predicting PFS in prostate cancer patients. The nomogram provides a non-invasive diagnostic tool for risk stratification of clinical patients.

References

29

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

Hyuna Sung, Jacques Ferlay, Rebecca L. Siegel et al. · CA A Cancer Journal for Clinicians · 2021 · 109.5K citations · Full text

Cancer statistics in China, 2015

Wanqing Chen, Rongshou Zheng, Peter D. Baade et al. · CA A Cancer Journal for Clinicians · 2016 · 17.9K citations · Full text

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak · Radiology · 2015 · 7.9K citations

, , +16

ESUR prostate MR guidelines 2012

Jelle O. Barentsz, Jonathan Richenberg, R. Clements et al. · European Radiology · 2012 · 2.4K citations · Full text

Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

Andreas G. Wibmer, Hedvig Hricak, Tatsuo Gondo et al. · European Radiology · 2015 · 399 citations · Full text

, , +10