Skip to main content
Top
Published in: Journal of Neuro-Oncology 3/2015

01-05-2015 | Clinical Study

Evaluation of absolute and normalized apparent diffusion coefficient (ADC) values within the post-operative T2/FLAIR volume as adverse prognostic indicators in glioblastoma

Authors: Andrew Elson, Joseph Bovi, Malika Siker, Chris Schultz, Eric Paulson

Published in: Journal of Neuro-Oncology | Issue 3/2015

Login to get access

Abstract

To evaluate the association of normalized and absolute ADC metrics with progression free survival (PFS) and overall survival (OS) in patients treated for glioblastoma multiforme (GBM). Fifty-two patients with preradiotherapy diffusion weighted imaging treated with post-operative chemoradiation for GBM were evaluated. Region of interest analysis for ADC metrics including mean and minimum ADC value (ADCmean) and (ADCmin) was performed within the T2/FLAIR volume. Normalized (N)ADC values were generated relative to contralateral white matter. PFS and OS were analyzed relative to ADC parameters using a regression model. Kaplan–Meier and Cox proportional hazards analysis with respect to (N)ADCmean, and (N)ADCmin was performed. A (N)ADC threshold <1.3 within the T2/FLAIR volume was analyzed with respect to PFS and OS. Regression analysis indicated that normalized ADC values provide the strongest association with PFS and OS. Kaplan–Meier analysis revealed a non-significant trend toward inferior PFS and OS associated with (N)ADCmean <1.7, and a significant decrement to PFS and OS associated with (N)ADCmin <0.3. (N)ADCmin was a significant prognostic factor when taking into account age, performance status, and extent of resection. ADC thresholding analysis revealed that a retained volume of >0.45 cc per mL FLAIR volume was associated with a trend toward inferior PFS and OS. In the post-operative, pre-radiotherapy setting, the (N)ADCmin is the strongest predictor of outcomes in patients treated for GBM. ADC thresholding analysis indicates that a large volume of normalized ADC value <1.3 may be associated with adverse outcomes.
Literature
1.
go back to reference Behin A, Hoang-Xuan K, Carpentier AF, Delattre JY (2003) Primary brain tumours in adults. Lancet 361(9354):323–331CrossRefPubMed Behin A, Hoang-Xuan K, Carpentier AF, Delattre JY (2003) Primary brain tumours in adults. Lancet 361(9354):323–331CrossRefPubMed
2.
go back to reference Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352(10):987–996CrossRefPubMed Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352(10):987–996CrossRefPubMed
3.
go back to reference Stupp R, Hegi ME, Mason WP et al (2009) Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol 10(5):459–466CrossRefPubMed Stupp R, Hegi ME, Mason WP et al (2009) Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol 10(5):459–466CrossRefPubMed
4.
go back to reference Hegi ME, Diserens AC, Gorlia T et al (2005) MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med 352(10):997–1003CrossRefPubMed Hegi ME, Diserens AC, Gorlia T et al (2005) MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med 352(10):997–1003CrossRefPubMed
5.
go back to reference Ricard D, Idbaih A, Ducray F, Lahutte M, Hoang-Xuan K, Delattre JY (2012) Primary brain tumours in adults. Lancet 379(9830):1984–1996CrossRefPubMed Ricard D, Idbaih A, Ducray F, Lahutte M, Hoang-Xuan K, Delattre JY (2012) Primary brain tumours in adults. Lancet 379(9830):1984–1996CrossRefPubMed
6.
go back to reference Gorlia T, van den Bent MJ, Hegi ME et al (2008) Nomograms for predicting survival of patients with newly diagnosed glioblastoma: prognostic factor analysis of EORTC and NCIC trial 26981-22981/CE.3. Lancet Oncol 9(1):29–38CrossRefPubMed Gorlia T, van den Bent MJ, Hegi ME et al (2008) Nomograms for predicting survival of patients with newly diagnosed glioblastoma: prognostic factor analysis of EORTC and NCIC trial 26981-22981/CE.3. Lancet Oncol 9(1):29–38CrossRefPubMed
7.
go back to reference Hagmann P, Jonasson L, Maeder P, Thiran JP, Wedeen VJ, Meuli R (2006) Understanding diffusion MR imaging techniques: From scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics 26(Suppl 1):S205–S223CrossRefPubMed Hagmann P, Jonasson L, Maeder P, Thiran JP, Wedeen VJ, Meuli R (2006) Understanding diffusion MR imaging techniques: From scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics 26(Suppl 1):S205–S223CrossRefPubMed
8.
go back to reference Mori S, Barker PB (1999) Diffusion magnetic resonance imaging: its principle and applications. Anat Rec 257(3):102–109CrossRefPubMed Mori S, Barker PB (1999) Diffusion magnetic resonance imaging: its principle and applications. Anat Rec 257(3):102–109CrossRefPubMed
9.
go back to reference Ellingson BM, Malkin MG, Rand SD et al (2010) Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. J Magn Reson Imaging 31(3):538–548CrossRefPubMedCentralPubMed Ellingson BM, Malkin MG, Rand SD et al (2010) Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. J Magn Reson Imaging 31(3):538–548CrossRefPubMedCentralPubMed
10.
go back to reference Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224(1):177–183CrossRefPubMed Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224(1):177–183CrossRefPubMed
11.
go back to reference Higano S, Yun X, Kumabe T et al (2006) Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 241(3):839–846CrossRefPubMed Higano S, Yun X, Kumabe T et al (2006) Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 241(3):839–846CrossRefPubMed
12.
go back to reference Murakami R, Sugahara T, Nakamura H et al (2007) Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology 243(2):493–499CrossRefPubMed Murakami R, Sugahara T, Nakamura H et al (2007) Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology 243(2):493–499CrossRefPubMed
13.
go back to reference Nakamura H, Murakami R, Hirai T, Kitajima M, Yamashita Y (2013) Can MRI-derived factors predict the survival in glioblastoma patients treated with postoperative chemoradiation therapy? Acta Radiol 54(2):214–220CrossRefPubMed Nakamura H, Murakami R, Hirai T, Kitajima M, Yamashita Y (2013) Can MRI-derived factors predict the survival in glioblastoma patients treated with postoperative chemoradiation therapy? Acta Radiol 54(2):214–220CrossRefPubMed
14.
go back to reference Saksena S, Jain R, Narang J et al (2010) Predicting survival in glioblastomas using diffusion tensor imaging metrics. J Magn Reson Imaging 32(4):788–795CrossRefPubMed Saksena S, Jain R, Narang J et al (2010) Predicting survival in glioblastomas using diffusion tensor imaging metrics. J Magn Reson Imaging 32(4):788–795CrossRefPubMed
15.
go back to reference Yamasaki F, Sugiyama K, Ohtaki M et al (2010) Glioblastoma treated with postoperative radio-chemotherapy: prognostic value of apparent diffusion coefficient at MR imaging. Eur J Radiol 73(3):532–537CrossRefPubMed Yamasaki F, Sugiyama K, Ohtaki M et al (2010) Glioblastoma treated with postoperative radio-chemotherapy: prognostic value of apparent diffusion coefficient at MR imaging. Eur J Radiol 73(3):532–537CrossRefPubMed
16.
go back to reference Oh J, Henry RG, Pirzkall A et al (2004) Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 19(5):546–554CrossRefPubMed Oh J, Henry RG, Pirzkall A et al (2004) Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 19(5):546–554CrossRefPubMed
17.
go back to reference Gupta A, Young RJ, Karimi S et al (2011) Isolated diffusion restriction precedes the development of enhancing tumor in a subset of patients with glioblastoma. AJNR Am J Neuroradiol 32(7):1301–1306CrossRefPubMedCentralPubMed Gupta A, Young RJ, Karimi S et al (2011) Isolated diffusion restriction precedes the development of enhancing tumor in a subset of patients with glioblastoma. AJNR Am J Neuroradiol 32(7):1301–1306CrossRefPubMedCentralPubMed
18.
go back to reference Paulson ES, Erickson B, Schultz C, Li XA (2014) Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning. Med Phys (Submitted) Paulson ES, Erickson B, Schultz C, Li XA (2014) Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning. Med Phys (Submitted)
19.
go back to reference Provenzale JM, Engelter ST, Petrella JR, Smith JS, MacFall JR (1999) Use of MR exponential diffusion-weighted images to eradicate T2 “shine-through” effect. AJR Am J Roentgenol 172(2):537–539CrossRefPubMed Provenzale JM, Engelter ST, Petrella JR, Smith JS, MacFall JR (1999) Use of MR exponential diffusion-weighted images to eradicate T2 “shine-through” effect. AJR Am J Roentgenol 172(2):537–539CrossRefPubMed
20.
go back to reference Schaefer PW, Grant PE, Gonzalez RG (2000) Diffusion-weighted MR imaging of the brain. Radiology 217(2):331–345CrossRefPubMed Schaefer PW, Grant PE, Gonzalez RG (2000) Diffusion-weighted MR imaging of the brain. Radiology 217(2):331–345CrossRefPubMed
21.
go back to reference Zulfiqar M, Yousem DM, Lai H (2013) ADC values and prognosis of malignant astrocytomas: does lower ADC predict a worse prognosis independent of grade of tumor? A meta-analysis. AJR Am J Roentgenol 200(3):624–629CrossRefPubMed Zulfiqar M, Yousem DM, Lai H (2013) ADC values and prognosis of malignant astrocytomas: does lower ADC predict a worse prognosis independent of grade of tumor? A meta-analysis. AJR Am J Roentgenol 200(3):624–629CrossRefPubMed
22.
go back to reference Sasaki M, Yamada K, Watanabe Y et al (2008) Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study. Radiology 249(2):624–630CrossRefPubMed Sasaki M, Yamada K, Watanabe Y et al (2008) Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study. Radiology 249(2):624–630CrossRefPubMed
23.
go back to reference Rodriguez Gutierrez D, Manita M, Jaspan T, Dineen RA, Grundy RG, Auer DP (2013) Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics. Neuro Oncol 15(8):981–989CrossRefPubMedCentralPubMed Rodriguez Gutierrez D, Manita M, Jaspan T, Dineen RA, Grundy RG, Auer DP (2013) Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics. Neuro Oncol 15(8):981–989CrossRefPubMedCentralPubMed
24.
go back to reference Saraswathy S, Crawford FW, Lamborn KR et al (2009) Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy. J Neurooncol 91(1):69–81CrossRefPubMedCentralPubMed Saraswathy S, Crawford FW, Lamborn KR et al (2009) Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy. J Neurooncol 91(1):69–81CrossRefPubMedCentralPubMed
25.
go back to reference Lutz K, Wiestler B, Graf M et al (2013) Infiltrative patterns of glioblastoma: identification of tumor progress using apparent diffusion coefficient histograms. J Magn Reson Imaging 39(5):1096–1103CrossRefPubMed Lutz K, Wiestler B, Graf M et al (2013) Infiltrative patterns of glioblastoma: identification of tumor progress using apparent diffusion coefficient histograms. J Magn Reson Imaging 39(5):1096–1103CrossRefPubMed
26.
go back to reference Sugahara T, Korogi Y, Kochi M et al (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9(1):53–60CrossRefPubMed Sugahara T, Korogi Y, Kochi M et al (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9(1):53–60CrossRefPubMed
27.
go back to reference Rose S, Fay M, Thomas P et al (2013) Correlation of MRI-derived apparent diffusion coefficients in newly diagnosed gliomas with [18F]-fluoro-L-dopa PET: what are we really measuring with minimum ADC? AJNR Am J Neuroradiol 34(4):758–764CrossRefPubMed Rose S, Fay M, Thomas P et al (2013) Correlation of MRI-derived apparent diffusion coefficients in newly diagnosed gliomas with [18F]-fluoro-L-dopa PET: what are we really measuring with minimum ADC? AJNR Am J Neuroradiol 34(4):758–764CrossRefPubMed
28.
go back to reference Crawford FW, Khayal IS, McGue C et al (2009) Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM. J Neurooncol 91(3):337–351CrossRefPubMedCentralPubMed Crawford FW, Khayal IS, McGue C et al (2009) Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM. J Neurooncol 91(3):337–351CrossRefPubMedCentralPubMed
Metadata
Title
Evaluation of absolute and normalized apparent diffusion coefficient (ADC) values within the post-operative T2/FLAIR volume as adverse prognostic indicators in glioblastoma
Authors
Andrew Elson
Joseph Bovi
Malika Siker
Chris Schultz
Eric Paulson
Publication date
01-05-2015
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 3/2015
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-015-1743-z

Other articles of this Issue 3/2015

Journal of Neuro-Oncology 3/2015 Go to the issue