Literature DB >> 19464630

Functional and metabolic magnetic resonance imaging and positron emission tomography for tumor volume definition in high-grade gliomas.

Christina I Tsien1, Yue Cao, Theodore S Lawrence.   

Abstract

Although the addition of concurrent and adjuvant temozolomide (TMZ) to standard-dose radiation (60 Gy) improves survival, the pattern of failure continues to be local. Conventional contrast enhanced T1-weighted and T2-weighted magnetic resonance imaging (MRI) used for radiation planning reflect anatomic rather than molecular or functional, properties of the tumor. Functional and metabolic MRI and positron emission tomography are able to detect metabolic and functional abnormalities beyond the tumor volume seen on conventional MRI, assess early response to treatment, and delineate the regions of high risks for failure in high-grade gliomas. This article focuses on the potential of these functional and metabolic imaging techniques to refine our clinical target volumes.

Entities:  

Mesh:

Year:  2009        PMID: 19464630     DOI: 10.1016/j.semradonc.2009.02.002

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  4 in total

1.  Trans-ethnic meta-analysis identifies common and rare variants associated with hepatocyte growth factor levels in the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Nicholas B Larson; Cecilia Berardi; Paul A Decker; Christina L Wassel; Phillip S Kirsch; James S Pankow; Michele M Sale; Mariza de Andrade; Hugues Sicotte; Weihong Tang; Naomi Q Hanson; Michael Y Tsai; Kent D Taylor; Suzette J Bielinski
Journal:  Ann Hum Genet       Date:  2015-05-22       Impact factor: 1.670

2.  Radiosurgery for high-grade glioma.

Authors:  Emanuela Binello; Sheryl Green; Isabelle M Germano
Journal:  Surg Neurol Int       Date:  2012-04-26

Review 3.  Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors.

Authors:  Lu Guo; Gang Wang; Yuanming Feng; Tonggang Yu; Yu Guo; Xu Bai; Zhaoxiang Ye
Journal:  Radiat Oncol       Date:  2016-09-21       Impact factor: 3.481

4.  A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy.

Authors:  Lu Guo; Ping Wang; Ranran Sun; Chengwen Yang; Ning Zhang; Yu Guo; Yuanming Feng
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.