Literature DB >> 18647847

Effect of age and tumor grade on BOLD functional MR imaging in preoperative assessment of patients with glioma.

Connie M Chen1, Bob L Hou, Andrei I Holodny.   

Abstract

PURPOSE: To retrospectively determine if there was a combined effect of advanced age and increased tumor grade on blood oxygen level-dependent (BOLD) functional magnetic resonance (MR) imaging signal intensity (SI) in patients with gliomas.
MATERIALS AND METHODS: The institutional review board approved this HIPAA-compliant study, and the informed consent requirement was waived. Data from 39 patients (27 men, 12 women; age range, 19-78 years) who had histopathologically confirmed gliomas and who underwent surgery after preoperative functional MR imaging were analyzed. Fourteen patients had grade II or grade III gliomas, and 25 patients had grade IV gliomas. A change in BOLD SI was measured in motor cortices of tumor-containing and non-tumor-containing hemispheres. The effect of age and tumor grade, both individually and together, on BOLD functional MR SI was assessed with t tests and regression analysis.
RESULTS: In patients with grade IV gliomas, SI change was lower in the tumor-containing hemisphere than in the non-tumor-containing hemisphere (P = .012). SI change decreased with increased age in the tumor-containing hemisphere in patients with grade II or III gliomas (P = .032) and in the non-tumor-containing hemisphere in patients with grade IV gliomas (P = .026). While advanced age and increased glioma grade reduced SI change, the combined effect of these factors was not additive. In patients with grade IV gliomas, tumor presence reduced SI change, but the level of reduction was uniform across all ages and did not correlate with age (P = .541).
CONCLUSION: In older patients with grade IV gliomas, BOLD SI is equivalent to that measured in younger patients with grade IV gliomas. Advanced age and tumor grade do not have a combined effect for reduction of BOLD SI. Rather, in patients with grade IV gliomas, tumor grade played a dominant role in reduction of SI change, whereas in patients with grade II and III gliomas, reduction of SI change correlated with only advanced age. RSNA, 2008

Entities:  

Mesh:

Year:  2008        PMID: 18647847     DOI: 10.1148/radiol.2483071280

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  16 in total

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Review 2.  Pitfalls in FMRI.

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3.  Blood oxygenation level-dependent MR imaging as a predictor of therapeutic response to concurrent chemoradiotherapy in cervical cancer: a preliminary experience.

Authors:  Chan Kyo Kim; Sung Yoon Park; Byung Kwan Park; Won Park; Seung Jae Huh
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4.  Presurgical motor, somatosensory and language fMRI: Technical feasibility and limitations in 491 patients over 13 years.

Authors:  Anthony J Tyndall; Julia Reinhardt; Volker Tronnier; Luigi Mariani; Christoph Stippich
Journal:  Eur Radiol       Date:  2016-05-19       Impact factor: 5.315

Review 5.  Imaging hypoxia in gliomas.

Authors:  I Mendichovszky; A Jackson
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

6.  Decreased Hand Motor Resting-State Functional Connectivity in Patients with Glioma: Analysis of Factors including Neurovascular Uncoupling.

Authors:  Herie Sun; Behroze Vachha; Maria E Laino; Mehrnaz Jenabi; Jessica R Flynn; Zhigang Zhang; Andrei I Holodny; Kyung K Peck
Journal:  Radiology       Date:  2020-01-14       Impact factor: 11.105

7.  A vascular-task response dependency and its application in functional imaging of brain tumors.

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Journal:  J Neurosci Methods       Date:  2019-04-13       Impact factor: 2.390

Review 8.  Clinical applications and future directions of functional MRI.

Authors:  Daniel A Orringer; David R Vago; Alexandra J Golby
Journal:  Semin Neurol       Date:  2013-01-29       Impact factor: 3.420

Review 9.  Cortical Plasticity in the Setting of Brain Tumors.

Authors:  Ryan A Fisicaro; Ethan Jost; Katharina Shaw; Nicole Petrovich Brennan; Kyung K Peck; Andrei I Holodny
Journal:  Top Magn Reson Imaging       Date:  2016-02

10.  Resting state fMRI feature-based cerebral glioma grading by support vector machine.

Authors:  Jiangfen Wu; Zhiyu Qian; Ling Tao; Jianhua Yin; Shangwen Ding; Yameng Zhang; Zhou Yu
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-09-17       Impact factor: 2.924

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