Literature DB >> 20635312

Magnetic resonance spectroscopic imaging for visualization of the infiltration zone of glioma.

A Stadlbauer1, M Buchfelder, M T Doelken, T Hammen, O Ganslandt.   

Abstract

BACKGROUND AND
PURPOSE: In conventional MR imaging, it is often difficult to delineate the heterogeneous structure of gliomas. Proton magnetic resonance spectroscopic imaging ((1)H-MRSI) is a noninvasive tool for investigating the spatial distribution of metabolic changes in brain lesions. The aim of this study was to assess the improvements in delineation of gliomas based on segmentation of metabolic changes measured with (1)H-MRSI.
MATERIAL AND METHODS: Twenty patients with gliomas (WHO grade II and III) were examined using a standard (1)H-MRSI sequence. Metabolic maps for choline (Cho), N-acetyl-aspartate (NAA) and Cho/NAA ratios were calculated and segmented based on the assumption of a Gaussian distribution of the Cho/NAA values for normal brain. Areas of hyperintensity on T2-weighted (T2w) MR images were compared with the areas of the segmented tumor on Cho/NAA maps. Stereotactic biopsies were obtained from the MRSI/T2w difference areas.
RESULTS: In all patients, the segmented MRSI tumor areas were greater than the T2w hyperintense areas, on average, by 20% (range 6-34%). In nine patients, biopsy sampling from the MRSI/T2w difference areas showed tumor infiltration ranging from 4-17% (mean 9%) tumor cells, in the areas detected only by MRSI. DISCUSSION AND
CONCLUSION: Our method for automated segmentation of the lesion-related metabolic changes achieved significantly improved delineation for gliomas compared to routine clinical methods. We demonstrate that this method can improve delineation of tumor borders compared to routine imaging strategies in clinics. Metabolic images of the segmented tumor may thus be helpful for therapeutic planning. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2010        PMID: 20635312     DOI: 10.1055/s-0030-1253410

Source DB:  PubMed          Journal:  Cent Eur Neurosurg        ISSN: 1868-4904


  16 in total

1.  The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas.

Authors:  Jun Guo; Chengjun Yao; Hong Chen; Dongxiao Zhuang; Weijun Tang; Guang Ren; Yin Wang; Jinsong Wu; Fengping Huang; Liangfu Zhou
Journal:  Acta Neurochir (Wien)       Date:  2012-06-23       Impact factor: 2.216

Review 2.  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 3.  Intraoperative perfusion magnetic resonance imaging: Cutting-edge improvement in neurosurgical procedures.

Authors:  Stephan Ulmer
Journal:  World J Radiol       Date:  2014-08-28

4.  Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Authors:  James S Cordova; Hui-Kuo G Shu; Zhongxing Liang; Saumya S Gurbani; Lee A D Cooper; Chad A Holder; Jeffrey J Olson; Brad Kairdolf; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Hyunsuk Shim
Journal:  Neuro Oncol       Date:  2016-03-15       Impact factor: 12.300

5.  Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Authors:  Sarah J Nelson; Achuta K Kadambi; Ilwoo Park; Yan Li; Jason Crane; Marram Olson; Annette Molinaro; Ritu Roy; Nicholas Butowski; Soonmee Cha; Susan Chang
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

6.  [Magnetic resonance spectroscopy of brain tumors].

Authors:  P Ditter; E Hattingen
Journal:  Radiologe       Date:  2017-06       Impact factor: 0.635

Review 7.  Use of high-resolution volumetric MR spectroscopic imaging in assessing treatment response of glioblastoma to an HDAC inhibitor.

Authors:  Hyunsuk Shim; Li Wei; Chad A Holder; Ying Guo; Xiaoping P Hu; Andrew H Miller; Jeffrey J Olson
Journal:  AJR Am J Roentgenol       Date:  2014-08       Impact factor: 3.959

8.  Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting.

Authors:  Saumya S Gurbani; Sulaiman Sheriff; Andrew A Maudsley; Hyunsuk Shim; Lee A D Cooper
Journal:  Magn Reson Med       Date:  2019-01-21       Impact factor: 4.668

Review 9.  Imaging biomarkers of brain tumour margin and tumour invasion.

Authors:  S J Price; J H Gillard
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

10.  Intraoperative vascular DIVA surgery reveals angiogenic hotspots in tumor zones of malignant gliomas.

Authors:  Ilker Y Eyüpoglu; Nirjhar Hore; Zheng Fan; Rolf Buslei; Andreas Merkel; Michael Buchfelder; Nicolai E Savaskan
Journal:  Sci Rep       Date:  2015-01-22       Impact factor: 4.379

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