Literature DB >> 21840931

Multimodality assessment of brain tumors and tumor recurrence.

Wolf-Dieter Heiss1, Peter Raab, Heinrich Lanfermann.   

Abstract

Neuroimaging plays a significant role in the diagnosis of intracranial tumors, especially brain gliomas, and must consist of an assessment of location and extent of the tumor and of its biologic activity. Therefore, morphologic imaging modalities and functional, metabolic, or molecular imaging modalities should be combined for primary diagnosis and for following the course and evaluating therapeutic effects. MRI is the gold standard for providing detailed morphologic information and can supply some additional insights into metabolism (MR spectroscopy) and perfusion (perfusion-weighted imaging) but still has limitations in identifying tumor grade, invasive growth into neighboring tissue, and treatment-induced changes, as well as recurrences. These insights can be obtained by various PET modalities, including imaging of glucose metabolism, amino acid uptake, nucleoside uptake, and hypoxia. Diagnostic accuracy can benefit from coregistration of PET results and MRI, combining the high-resolution morphologic images with the biologic information. These procedures are optimized by the newly developed combination of PET and MRI modalities, permitting the simultaneous assessment of morphologic, functional, metabolic, and molecular information on the human brain.

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Year:  2011        PMID: 21840931     DOI: 10.2967/jnumed.110.084210

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  46 in total

Review 1.  Molecular brain imaging in the multimodality era.

Authors:  Julie C Price
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-21       Impact factor: 6.200

2.  Multimodal imaging utilising integrated MR-PET for human brain tumour assessment.

Authors:  Irene Neuner; Joachim B Kaffanke; Karl-Josef Langen; Elena Rota Kops; Lutz Tellmann; Gabriele Stoffels; Christoph Weirich; Christian Filss; Jürgen Scheins; Hans Herzog; N Jon Shah
Journal:  Eur Radiol       Date:  2012-07-11       Impact factor: 5.315

3.  Image coregistration: quantitative processing framework for the assessment of brain lesions.

Authors:  Hannu Huhdanpaa; Darryl H Hwang; Gregory G Gasparian; Michael T Booker; Yong Cen; Alexander Lerner; Orest B Boyko; John L Go; Paul E Kim; Anandh Rajamohan; Meng Law; Mark S Shiroishi
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

Review 4.  PET/MRI for neurologic applications.

Authors:  Ciprian Catana; Alexander Drzezga; Wolf-Dieter Heiss; Bruce R Rosen
Journal:  J Nucl Med       Date:  2012-11-09       Impact factor: 10.057

5.  Molecular Imaging Using Endogenous Cellular Proteins.

Authors:  Zhou Jinyuan; Hong Xiaohua
Journal:  Bo Pu Xue Za Zhi       Date:  2013

6.  Grading and outcome prediction of pediatric diffuse astrocytic tumors with diffusion and arterial spin labeling perfusion MRI in comparison with 18F-DOPA PET.

Authors:  Giovanni Morana; Arnoldo Piccardo; Domenico Tortora; Matteo Puntoni; Mariasavina Severino; Paolo Nozza; Marcello Ravegnani; Alessandro Consales; Samantha Mascelli; Alessandro Raso; Manlio Cabria; Antonio Verrico; Claudia Milanaccio; Andrea Rossi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-27       Impact factor: 9.236

7.  Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study.

Authors:  A Jena; S Taneja; A Jha; N K Damesha; P Negi; G K Jadhav; S M Verma; S K Sogani
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-24       Impact factor: 3.825

8.  Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.

Authors:  Morad Nasseri; Seymur Gahramanov; Joao Prola Netto; Rongwei Fu; Leslie L Muldoon; Csanad Varallyay; Bronwyn E Hamilton; Edward A Neuwelt
Journal:  Neuro Oncol       Date:  2014-02-11       Impact factor: 12.300

9.  Translation of the ecological trap concept to glioma therapy: the cancer cell trap concept.

Authors:  Boudewijn van der Sanden; Florence Appaix; François Berger; Laurent Selek; Jean-Paul Issartel; Didier Wion
Journal:  Future Oncol       Date:  2013-06       Impact factor: 3.404

10.  Quantitative multiparametric MRI assessment of glioma response to radiotherapy in a rat model.

Authors:  Xiaohua Hong; Li Liu; Meiyun Wang; Kai Ding; Ying Fan; Bo Ma; Bachchu Lal; Betty Tyler; Antonella Mangraviti; Silun Wang; John Wong; John Laterra; Jinyuan Zhou
Journal:  Neuro Oncol       Date:  2013-12-22       Impact factor: 12.300

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