Literature DB >> 15093908

3D MRSI for resected high-grade gliomas before RT: tumor extent according to metabolic activity in relation to MRI.

Andrea Pirzkall1, Xiaojuan Li, Joonmi Oh, Susan Chang, Mitchel S Berger, David A Larson, Lynn J Verhey, William P Dillon, Sarah J Nelson.   

Abstract

PURPOSE: To evaluate the presence of residual disease after surgery but before radiotherapy (RT) in patients with high-grade glioma by MRI and magnetic resonance spectroscopy imaging (MRSI) and to estimate the impact of MRSI on the definition of postoperative target volumes for RT treatment planning. METHODS AND MATERIALS: Thirty patients (27 glioblastoma multiforme, 3 Grade III astrocytoma) underwent MRI and MRSI within 4 weeks after surgery but before the initiation of RT. The MRI data were manually contoured; the regions of interest included T(2)-weighted hyperintensity (T(2)), T(1)-weighted contrast enhancement (T(1)), and the resection cavity (RC). Levels of choline and N-acetyl-aspartate (NAA) in the three-dimensional MRSI data were analyzed on the basis of a choline-to-N-acetyl-aspartate index (CNI). The CNI and other metabolic indexes were superimposed on the MRI data as three-dimensional contours. Composite, conjoint, and disjoint volumes were defined for T(1) and T(2), with/without RC, and within the CNI contour, corresponding to a value of 2. In addition, follow-up MRI studies were examined for new onset contrast enhancement and compared with the initial spectroscopic findings obtained before RT.
RESULTS: Substantial variation was found in the spatial relationship between the MRI and MRSI volumes. Ten patients had no contrast enhancement after surgery, and MRSI revealed abnormal metabolic activity in 8 of 10, averaging 20 cm(3) and extending 11-36 mm beyond the RC. In 20 patients with contrast-enhancing lesions, substantial variation was found between T(1) and CNI2; metabolic activity fell outside the contrast enhancement in 19 patients, averaging 21 cm(3) and extending 8-33 mm beyond the contrast enhancement. For all patients, the T(2) encompassed most of the metabolic volume. However, the CNI2 extended beyond the T(2) in 6 of 10 patients without contrast enhancement (mean, 8 cm(3); maximum, 15-23 mm) and in 13 of 20 patients with contrast enhancement (mean, 7 cm(3); maximum, 8-22 mm), representing an increase in the T(2) volume by as much as 180% (median 13%) and 86% (median 14%) for non-contrast-enhancing and contrast-enhancing patients, respectively. Preliminary evaluation of the MRI follow-up examinations revealed correspondence of areas of new contrast enhancement with initial MRSI abnormalities in 8 of 10 non-contrast-enhancing patients. In addition, CNI volumes correlated inversely with the time to onset of new contrast enhancement.
CONCLUSION: MRSI is a valuable diagnostic tool for the assessment of residual disease after surgical resection in high-grade glioma. The incorporation of areas of metabolic abnormality into treatment planning for postoperative patients would produce different sizes and shapes of target volumes for both primary and boost volumes. It also may encourage the use of nonuniform margins to define the extent of tumor cell infiltration, rather than the current use of uniform margins.

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Year:  2004        PMID: 15093908     DOI: 10.1016/j.ijrobp.2003.08.023

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  43 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.  A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors.

Authors:  W Hollingworth; L S Medina; R E Lenkinski; D K Shibata; B Bernal; D Zurakowski; B Comstock; J G Jarvik
Journal:  AJNR Am J Neuroradiol       Date:  2006-08       Impact factor: 3.825

3.  Patterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findings.

Authors:  Ilwoo Park; Gregory Tamai; Michael C Lee; Cynthia F Chuang; Susan M Chang; Mitchel S Berger; Sarah J Nelson; Andrea Pirzkall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-21       Impact factor: 7.038

4.  Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma.

Authors:  Andrea Pirzkall; Colleen McGue; Suja Saraswathy; Soonmee Cha; Raymond Liu; Scott Vandenberg; Kathleen R Lamborn; Mitchel S Berger; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2009-12       Impact factor: 12.300

Review 5.  Glioblastoma multiforme: emerging treatments and stratification markers beyond new drugs.

Authors:  C von Neubeck; A Seidlitz; H H Kitzler; B Beuthien-Baumann; M Krause
Journal:  Br J Radiol       Date:  2015-07-10       Impact factor: 3.039

6.  Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.

Authors:  N Andres Parra; Andrew A Maudsley; Rakesh K Gupta; Fazilat Ishkanian; Kris Huang; Gail R Walker; Kyle Padgett; Bhaswati Roy; Joseph Panoff; Arnold Markoe; Radka Stoyanova
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-24       Impact factor: 7.038

7.  Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.

Authors:  Mekhail Anwar; Annette M Molinaro; Olivier Morin; Susan M Chang; Daphne A Haas-Kogan; Sarah J Nelson; Janine M Lupo
Journal:  Radiat Res       Date:  2017-07-19       Impact factor: 2.841

8.  Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in GBM patients.

Authors:  Manijeh Beigi; Kevan Ghasemi; Parvin Mirzaghavami; Mohammadreza Khanmohammadi; Hamidreza SalighehRad
Journal:  J Neurooncol       Date:  2018-03-14       Impact factor: 4.130

9.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

10.  Assessment of various strategies for 18F-FET PET-guided delineation of target volumes in high-grade glioma patients.

Authors:  Hansjörg Vees; Srinivasan Senthamizhchelvan; Raymond Miralbell; Damien C Weber; Osman Ratib; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-09-26       Impact factor: 9.236

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