Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography

Wei-Chih Shen,Shang Wen Chen,Kuo Chen Wu,Te-Chun Hsieh,Ji An Liang,Yao Ching Hung,Lian Shung Yeh,Wei Chun Chang,Wu Chou Lin,Kuo-Yang Yen,Chia-Hung Kao

Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography

2019

Wei-Chih Shen
Shang Wen Chen
Kuo Chen Wu
Te-Chun Hsieh
Ji An Liang
Yao Ching Hung
Lian Shung Yeh
Wei Chun Chang
Wu Chou Lin
Kuo-Yang Yen
Chia-Hung Kao

Background We designed a deep learning model for assessing 18F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.

Keywords:

Chemoradiotherapy
Radiology
Positron Emission Tomography-Computed Tomography
Metastasis
Cervical cancer
Fluorodeoxyglucose
Medicine
distant metastasis
PET-CT
Interventional radiology
Computed tomography
Stage (cooking)
Neuroradiology
Ultrasound

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