Literature DB >> 19369613

MR spectroscopy in radiation injury.

P C Sundgren1.   

Abstract

Detecting a new area of contrast enhancement in or in the vicinity of a previously treated brain tumor always causes concern for both the patient and the physician. The question that immediately arises is whether this new lesion is recurrent tumor or a treatment effect. The differentiation of recurrent tumor or progressive tumor from radiation injury after radiation therapy is often a radiologic dilemma regardless the technique used, CT or MR imaging. The purpose of this article was to review the utility of one of the newer MR imaging techniques, MR spectroscopy, to distinguish recurrent tumor from radiation necrosis or radiation injury.

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Year:  2009        PMID: 19369613     DOI: 10.3174/ajnr.A1580

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  42 in total

Review 1.  Non-invasive metabolic imaging of brain tumours in the era of precision medicine.

Authors:  Michelle M Kim; Abhijit Parolia; Mark P Dunphy; Sriram Venneti
Journal:  Nat Rev Clin Oncol       Date:  2016-07-19       Impact factor: 66.675

Review 2.  Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging.

Authors:  Rajan Jain; Jayant Narang; Pia M Sundgren; David Hearshen; Sona Saksena; Jack P Rock; Jorge Gutierrez; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2010-02-24       Impact factor: 4.130

Review 3.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Authors:  Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

Review 4.  Pseudoprogression and pseudoresponse: imaging challenges in the assessment of posttreatment glioma.

Authors:  L C Hygino da Cruz; I Rodriguez; R C Domingues; E L Gasparetto; A G Sorensen
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-10       Impact factor: 3.825

Review 5.  MR-guided radiation therapy: transformative technology and its role in the central nervous system.

Authors:  Yue Cao; Chia-Lin Tseng; James M Balter; Feifei Teng; Hemant A Parmar; Arjun Sahgal
Journal:  Neuro Oncol       Date:  2017-04-01       Impact factor: 12.300

Review 6.  Imaging findings in radiation therapy complications of the central nervous system.

Authors:  Tomonori Kanda; Yuichi Wakabayashi; Feibi Zeng; Yoshiko Ueno; Keitaro Sofue; Takaki Maeda; Munenobu Nogami; Takamichi Murakami
Journal:  Jpn J Radiol       Date:  2018-07-24       Impact factor: 2.374

7.  Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.

Authors:  Luke Peng; Vishwa Parekh; Peng Huang; Doris D Lin; Khadija Sheikh; Brock Baker; Talia Kirschbaum; Francesca Silvestri; Jessica Son; Adam Robinson; Ellen Huang; Heather Ames; Jimm Grimm; Linda Chen; Colette Shen; Michael Soike; Emory McTyre; Kristin Redmond; Michael Lim; Junghoon Lee; Michael A Jacobs; Lawrence Kleinberg
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-05-24       Impact factor: 7.038

8.  Comparison of the effectiveness of MRI perfusion and fluorine-18 FDG PET-CT for differentiating radiation injury from viable brain tumor: a preliminary retrospective analysis with pathologic correlation in all patients.

Authors:  Vaios Hatzoglou; Gary A Ulaner; Zhigang Zhang; Kathryn Beal; Andrei I Holodny; Robert J Young
Journal:  Clin Imaging       Date:  2012-10-12       Impact factor: 1.605

9.  Radionecrosis induced by stereotactic radiosurgery of brain metastases: results of surgery and outcome of disease.

Authors:  Stefano Telera; Alessandra Fabi; Andrea Pace; Antonello Vidiri; Vincenzo Anelli; Carmine Maria Carapella; Laura Marucci; Francesco Crispo; Isabella Sperduti; Alfredo Pompili
Journal:  J Neurooncol       Date:  2013-03-25       Impact factor: 4.130

10.  MRI perfusion in determining pseudoprogression in patients with glioblastoma.

Authors:  Robert J Young; Ajay Gupta; Akash D Shah; Jerome J Graber; Timothy A Chan; Zhigang Zhang; Weiji Shi; Kathryn Beal; Antonio M Omuro
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

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