Improved localization of infratentorial ependymoma by magnetic resonance imaging: Implications for radiation treatment planning

1988 ◽  
Vol 6 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Brian R. Griffin ◽  
William P. Shuman ◽  
William Wisbeck ◽  
Mitchell Berger ◽  
Alexander Spence
2000 ◽  
Vol 27 (7) ◽  
pp. 1563-1572 ◽  
Author(s):  
Wen-Ching Liu ◽  
Michael Schulder ◽  
Venkat Narra ◽  
Andrew J. Kalnin ◽  
Charles Cathcart ◽  
...  

2016 ◽  
Vol 6 (3) ◽  
pp. 201-206
Author(s):  
Daniel G. Tanenbaum ◽  
William A. Hall ◽  
Pardeep Mittal ◽  
Dana C. Nickleach ◽  
John L. Mikell ◽  
...  

2016 ◽  
Vol 15 (6) ◽  
pp. NP47-NP60 ◽  
Author(s):  
David C. P. Cobben ◽  
Hans C. J. de Boer ◽  
Rob H. Tijssen ◽  
Emma G. G. M. Rutten ◽  
Marco van Vulpen ◽  
...  

Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and allows for specific scanning sequences to optimize differentiation between various tissue types and properties. Moreover, it offers the potential for real-time motion imaging. This makes magnetic resonance imaging an ideal candidate imaging modality for radiation treatment planning in lung cancer. Although the number of clinical research protocols for the application of magnetic resonance imaging for lung cancer treatment is increasing ( www.clinicaltrials.gov ) and the magnetic resonance imaging sequences are becoming faster, there are still some technical challenges. This review describes the opportunities and challenges of magnetic resonance imaging for radiation treatment planning in lung cancer.


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