Literature DB >> 28240563

Multiparametric MR Imaging of Diffusion and Perfusion in Contrast-enhancing and Nonenhancing Components in Patients with Glioblastoma.

Natalie R Boonzaier1, Timothy J Larkin1, Tomasz Matys1, Anouk van der Hoorn1, Jiun-Lin Yan1, Stephen J Price1.   

Abstract

Purpose To determine whether regions of low apparent diffusion coefficient (ADC) with high relative cerebral blood volume (rCBV) represented elevated choline (Cho)-to-N-acetylaspartate (NAA) ratio (hereafter, Cho/NAA ratio) and whether their volumes correlated with progression-free survival (PFS) and overall survival (OS) in patients with glioblastoma (GBM). Materials and Methods This retrospective analysis was approved by the local research ethics committee. Volumetric analysis of imaging data from 43 patients with histologically confirmed GBM was performed. Patients underwent preoperative 3-T magnetic resonance imaging with conventional, diffusion-weighted, perfusion-weighted, and spectroscopic sequences. Patients underwent subsequent surgery with adjuvant chemotherapy and radiation therapy. Overlapping low-ADC and high-rCBV regions of interest (ROIs) (hereafter, ADC-rCBV ROIs) were generated in contrast-enhancing and nonenhancing regions. Cho/NAA ratio in ADC-rCBV ROIs was compared with that in control regions by using analysis of variance. All resulting ROI volumes were correlated with patient survival by using multivariate Cox regression. Results ADC-rCBV ROIs within contrast-enhancing and nonenhancing regions showed elevated Cho/NAA ratios, which were significantly higher than those in other abnormal tumor regions (P < .001 and P = .008 for contrast-enhancing and nonenhancing regions, respectively) and in normal-appearing white matter (P < .001 for both contrast-enhancing and nonenhancing regions). After Cox regression analysis controlling for age, tumor size, resection extent, O-6-methylguanine-DNA methyltransferase-methylation, and isocitrate dehydrogenase mutation status, the proportional volume of ADC-rCBV ROIs in nonenhancing regions significantly contributed to multivariate models of OS (hazard ratio, 1.132; P = .026) and PFS (hazard ratio, 1.454; P = .017). Conclusion Volumetric analysis of ADC-rCBV ROIs in nonenhancing regions of GBM can be used to identify patients with poor survival trends after accounting for known confounders of GBM patient outcome.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28240563     DOI: 10.1148/radiol.2017160150

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


  21 in total

1.  Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer.

Authors:  Bang-Bin Chen; Yen-Shen Lu; Chih-Wei Yu; Ching-Hung Lin; Tom Wei-Wu Chen; Shwu-Yuan Wei; Ann-Lii Cheng; Tiffany Ting-Fang Shih
Journal:  Eur Radiol       Date:  2018-05-16       Impact factor: 5.315

2.  Predicting complexity of tumor removal and postoperative outcome in patients with high-grade gliomas.

Authors:  Laura Ganau; Gianfranco K I Ligarotti; Mario Ganau
Journal:  Neurosurg Rev       Date:  2017-10-18       Impact factor: 3.042

3.  High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T.

Authors:  Gilbert Hangel; Saurabh Jain; Elisabeth Springer; Eva Hečková; Bernhard Strasser; Michal Považan; Stephan Gruber; Georg Widhalm; Barbara Kiesel; Julia Furtner; Matthias Preusser; Thomas Roetzer; Siegfried Trattnig; Diana M Sima; Dirk Smeets; Wolfgang Bogner
Journal:  Neuroimage       Date:  2019-02-14       Impact factor: 6.556

Review 4.  Imaging of intratumoral heterogeneity in high-grade glioma.

Authors:  Leland S Hu; Andrea Hawkins-Daarud; Lujia Wang; Jing Li; Kristin R Swanson
Journal:  Cancer Lett       Date:  2020-02-27       Impact factor: 8.679

5.  Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI.

Authors:  Anahita Fathi Kazerooni; Mahnaz Nabil; Mehdi Zeinali Zadeh; Kavous Firouznia; Farid Azmoudeh-Ardalan; Alejandro F Frangi; Christos Davatzikos; Hamidreza Saligheh Rad
Journal:  J Magn Reson Imaging       Date:  2018-02-07       Impact factor: 4.813

6.  Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging.

Authors:  Ping Yin; Ning Mao; Sicong Wang; Chao Sun; Nan Hong
Journal:  Br J Radiol       Date:  2019-07-09       Impact factor: 3.039

Review 7.  Imaging in neuro-oncology.

Authors:  Hari Nandu; Patrick Y Wen; Raymond Y Huang
Journal:  Ther Adv Neurol Disord       Date:  2018-02-28       Impact factor: 6.570

8.  Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme.

Authors:  Olya Stringfield; John A Arrington; Sandra K Johnston; Nicolas G Rognin; Noah C Peeri; Yoganand Balagurunathan; Pamela R Jackson; Kamala R Clark-Swanson; Kristin R Swanson; Kathleen M Egan; Robert A Gatenby; Natarajan Raghunand
Journal:  Tomography       Date:  2019-03

9.  Earliest radiological progression in glioblastoma by multidisciplinary consensus review.

Authors:  Roelant S Eijgelaar; Anna M E Bruynzeel; Frank J Lagerwaard; Domenique M J Müller; Freek R Teunissen; Frederik Barkhof; Marcel van Herk; Philip C De Witt Hamer; Marnix G Witte
Journal:  J Neurooncol       Date:  2018-05-18       Impact factor: 4.130

10.  The Effect of Heterogenous Subregions in Glioblastomas on Survival Stratification: A Radiomics Analysis Using the Multimodality MRI.

Authors:  Lulu Yin; Yan Liu; Xi Zhang; Hongbing Lu; Yang Liu
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.