Title |
Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors
|
---|---|
Published in |
Radiation Oncology, September 2016
|
DOI | 10.1186/s13014-016-0702-y |
Pubmed ID | |
Authors |
Lu Guo, Gang Wang, Yuanming Feng, Tonggang Yu, Yu Guo, Xu Bai, Zhaoxiang Ye |
Abstract |
Accurate target volume delineation is crucial for the radiotherapy of tumors. Diffusion and perfusion magnetic resonance imaging (MRI) can provide functional information about brain tumors, and they are able to detect tumor volume and physiological changes beyond the lesions shown on conventional MRI. This review examines recent studies that utilized diffusion and perfusion MRI for tumor volume definition in radiotherapy of brain tumors, and it presents the opportunities and challenges in the integration of multimodal functional MRI into clinical practice. The results indicate that specialized and robust post-processing algorithms and tools are needed for the precise alignment of targets on the images, and comprehensive validations with more clinical data are important for the improvement of the correlation between histopathologic results and MRI parameter images. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 2% |
Unknown | 63 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 10 | 16% |
Student > Ph. D. Student | 7 | 11% |
Student > Postgraduate | 6 | 9% |
Researcher | 5 | 8% |
Other | 4 | 6% |
Other | 13 | 20% |
Unknown | 19 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 20% |
Nursing and Health Professions | 5 | 8% |
Physics and Astronomy | 4 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Engineering | 3 | 5% |
Other | 13 | 20% |
Unknown | 23 | 36% |