A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images-Reference-Cited by-同舟云学术

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

Published:2017-11-24 Issue:6 Volume:28 Page:2255-2263
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Zhang Zijian,Yang Jinzhong^ORCID,Ho Angela,Jiang Wen,Logan Jennifer,Wang Xin,Brown Paul D.,McGovern Susan L.,Guha-Thakurta Nandita,Ferguson Sherise D.,Fave Xenia,Zhang Lifei,Mackin Dennis,Court Laurence E.,Li Jing

Funder

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00330-017-5154-8/fulltext.html

Reference35 articles.

1. Nayak L, Lee EQ, Wen PY (2012) Epidemiology of brain metastases. Current Oncology Reports 14:48–54

2. Kondziolka D, Martin JJ, Flickinger JC et al (2005) Long-term survivors after gamma knife radiosurgery for brain metastases. Cancer 104:2784–2791

3. Elaimy AL, Mackay AR, Lamoreaux WT et al (2011) Clinical outcomes of stereotactic radiosurgery in the treatment of patients with metastatic brain tumors. World Neurosurg 75:673–683