Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Journal: Anticancer research
Published Date: Sep 1, 2018

Abstract

BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) image features with minimal preprocessing, could predict early response of BM to radiosurgery.

Authors

  • Yu Jin Cha
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.
  • Won Il Jang
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea zzang11@kirams.re.kr.
  • Mi-Sook Kim
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.
  • Hyung Jun Yoo
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.
  • Eun Kyung Paik
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.
  • Hee Kyung Jeong
    Department of Radiation Oncology, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.
  • Sang-Min Youn
    Department of Neurosurgery, Korea Institute of Radiological & Medical Sciences, Seoul, Republic of Korea.

Keywords

External Resources

Popular Topics
Recent Journals