Literature DB >> 28234549

Local Fractional Anisotropy Is Reduced in Areas with Tumor Recurrence in Glioblastoma.

Stefanie Bette1, Thomas Huber1, Jens Gempt1, Tobias Boeckh-Behrens1, Benedikt Wiestler1, Victoria Kehl1, Florian Ringel1, Bernhard Meyer1, Claus Zimmer1, Jan S Kirschke1.   

Abstract

Purpose To analyze if fractional anisotropy (FA) in nonenhancing peritumoral regions (NEPTRs) at baseline is associated with later tumor recurrence in glioblastoma. Materials and Methods Ethical approval was obtained for this retrospective, HIPAA-compliant study. FA was measured in 70 patients with glioblastoma in five regions of interest (ROIs) per patient in the NEPTR at preoperative magnetic resonance (MR) imaging with (166 regions) or without (184 regions) local contrast-enhancing tumor recurrence at follow-up MR imaging (median, 7.3 months; range, 0.9-46.6 months). ROIs were classified according to their location (white matter, cortex, fiber tracts, basal ganglia). Ratio of FA in the ROI of the NEPTR to that in the contralateral side (FAcontra) and to that in the internal capsule (FAint) was calculated. A generalized linear mixed model was performed. Ten-fold cross-validation was used for the receiver operating characteristics (ROC) analysis. Results FAcontra and FAint were significantly lower in regions with later tumor recurrence than in regions without (median FAcontra: 0.29 [interquartile range {IR}, 0.22-0.36] vs 0.46 [IR, 0.38-0.57]; median FAint: 0.20 [IR, 0.16-0.24] vs 0.29 [IR, 0.22-0.36], respectively). ROC analysis revealed an area under the ROC curve of 0.893 for FAcontra and of 0.815 for FAint, resulting in respective sensitivity and specificity of 85.5% and 84.2% for FAcontra and 86.7% and 66.8% for FAint. Conclusion Local tumor recurrence in the NEPTR may be predicted by FA metrics at baseline in patients with glioblastoma. This might be important for surgery or radiation planning. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 28234549     DOI: 10.1148/radiol.2016152832

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


  12 in total

1.  Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.

Authors:  Jung Youn Kim; Min Jae Yoon; Ji Eun Park; Eun Jung Choi; Jongho Lee; Ho Sung Kim
Journal:  Neuroradiology       Date:  2019-07-09       Impact factor: 2.804

2.  Increased intratumoral infiltration in IDH wild-type lower-grade gliomas observed with diffusion tensor imaging.

Authors:  Eric Aliotta; Prem P Batchala; David Schiff; Beatriz M Lopes; Jason T Druzgal; Sugoto Mukherjee; Sohil H Patel
Journal:  J Neurooncol       Date:  2019-09-17       Impact factor: 4.130

3.  Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.

Authors:  Guan-Min Quan; Yong-Li Zheng; Tao Yuan; Jian-Ming Lei
Journal:  J Neurooncol       Date:  2018-03-21       Impact factor: 4.130

Review 4.  Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis.

Authors:  Rik van den Elshout; Tom W J Scheenen; Chantal M L Driessen; Robert J Smeenk; Frederick J A Meijer; Dylan Henssen
Journal:  Insights Imaging       Date:  2022-10-04

5.  Image Analysis Reveals Microstructural and Volumetric Differences in Glioblastoma Patients with and without Preoperative Seizures.

Authors:  Stefanie Bette; Melanie Barz; Huong Ly Nham; Thomas Huber; Maria Berndt; Arthur Sales; Friederike Schmidt-Graf; Hanno S Meyer; Yu-Mi Ryang; Bernhard Meyer; Claus Zimmer; Jan S Kirschke; Benedikt Wiestler; Jens Gempt
Journal:  Cancers (Basel)       Date:  2020-04-17       Impact factor: 6.639

6.  [18F]-Fluciclovine PET discrimination of recurrent intracranial metastatic disease from radiation necrosis.

Authors:  Ephraim E Parent; Dhruv Patel; Jonathon A Nye; Zhuo Li; Jeffrey J Olson; David M Schuster; Mark M Goodman
Journal:  EJNMMI Res       Date:  2020-12-07       Impact factor: 3.138

7.  Along-tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors.

Authors:  Valentina Pieri; Francesco Sanvito; Marco Riva; Alessandro Petrini; Paola M V Rancoita; Sara Cirillo; Antonella Iadanza; Lorenzo Bello; Antonella Castellano; Andrea Falini
Journal:  Hum Brain Mapp       Date:  2020-12-04       Impact factor: 5.038

8.  82Rubidium chloride positron emission tomography discrimination of recurrent intracranial malignancy from radiation necrosis.

Authors:  Ephraim E Parent; Ila Sethi; Jonathon Nye; Chad Holder; Jeffrey J Olson; Jeffrey Switchenko; Funmilayo Tade; Oladunni O Akin-Akintayo; Olayinka A Abiodun-Ojo; Akinyemi Akintayo; David M Schuster
Journal:  Q J Nucl Med Mol Imaging       Date:  2019-12-09       Impact factor: 2.346

9.  The wavelet power spectrum of perfusion weighted MRI correlates with tumor vascularity in biopsy-proven glioblastoma samples.

Authors:  Lukas T Rotkopf; Benedikt Wiestler; Christine Preibisch; Friederike Liesche-Starnecker; Thomas Pyka; Dominik Nörenberg; Stefanie Bette; Jens Gempt; Kolja M Thierfelder; Claus Zimmer; Thomas Huber
Journal:  PLoS One       Date:  2020-01-23       Impact factor: 3.240

Review 10.  Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Authors:  Martin Kocher; Maximilian I Ruge; Norbert Galldiks; Philipp Lohmann
Journal:  Strahlenther Onkol       Date:  2020-05-11       Impact factor: 4.033

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