Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy

Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy

Given the high death rate caused by high-risk prostate cancer (PCa) (>40%) and the reliability issues associated with traditional prognostic markers, the purpose of this study is to investigate planning computed tomography (pCT)-based radiomics for the long-term prognostication of high-risk local...

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Bibliographic Details
Main Authors: Leung, Vincent WS, Ng, Curtise, Lam, Sai-Kit, Wong, Po-Tsz, Ng, Ka-Yan, Tam, Cheuk-Hong, Lee, Tsz-Ching, Chow, Kin-Chun, Chow, Yan-Kate, Tam, Victor CW, Lee, Shara WY, Lim, Fiona MY, Wu, Jackie Q, Cai, Jing
Format: Journal Article
Published: MDPI AG 2023
Subjects:
Artificial Intelligence
Biomarker
Machine Learning
Malignancy
Medical Imaging
Prognosis
Progression-Free Survival
Radiation Therapy
Recurrence
Tumor
Online Access:Government of Hong Kong Special Administrative Region Health and Medical Research Fund Research Fellowship Scheme 2021, grant number 06200137; and The Hong Kong Polytechnic University Project of Strategic Importance Fund 2021, grant number P0035421
http://hdl.handle.net/20.500.11937/93832

Internet

Government of Hong Kong Special Administrative Region Health and Medical Research Fund Research Fellowship Scheme 2021, grant number 06200137; and The Hong Kong Polytechnic University Project of Strategic Importance Fund 2021, grant number P0035421
http://hdl.handle.net/20.500.11937/93832

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