Literature DB >> 33414227

Regional and Volumetric Parameters for Diffusion-Weighted WHO Grade II and III Glioma Genotyping: A Method Comparison.

S C Thust1,2,3, J A Maynard4,2, M Benenati2,5, S J Wastling4,2, L Mancini4,2, Z Jaunmuktane6, S Brandner7, H R Jäger4,2,3.   

Abstract

BACKGROUND AND
PURPOSE: Studies consistently report lower ADC values in isocitrate dehydrogenase (IDH) wild-type gliomas than in IDH mutant tumors, but their methods and thresholds vary. This research aimed to compare volumetric and regional ADC measurement techniques for glioma genotyping, with a focus on IDH status prediction.
MATERIALS AND METHODS: Treatment-naïve World Health Organization grade II and III gliomas were analyzed by 3 neuroradiologist readers blinded to tissue results. ADC minimum and mean ROIs were defined in tumor and in normal-appearing white matter to calculate normalized values. T2-weighted tumor VOIs were registered to ADC maps with histogram parameters (mean, 2nd and 5th percentiles) extracted. Nonparametric testing (eta2 and ANOVA) was performed to identify associations between ADC metrics and glioma genotypes. Logistic regression was used to probe the ability of VOI and ROI metrics to predict IDH status.
RESULTS: The study included 283 patients with 79 IDH wild-type and 204 IDH mutant gliomas. Across the study population, IDH status was most accurately predicted by ROI mean normalized ADC and VOI mean normalized ADC, with areas under the curve of 0.83 and 0.82, respectively. The results for ROI-based genotyping of nonenhancing and solid-patchy enhancing gliomas were comparable with volumetric parameters (area under the curve = 0.81-0.84). In rim-enhancing, centrally necrotic tumors (n = 23), only volumetric measurements were predictive (0.90).
CONCLUSIONS: Regional normalized mean ADC measurements are noninferior to volumetric segmentation for defining solid glioma IDH status. Partially necrotic, rim-enhancing tumors are unsuitable for ROI assessment and may benefit from volumetric ADC quantification.
© 2021 by American Journal of Neuroradiology.

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Year:  2021        PMID: 33414227      PMCID: PMC7959449          DOI: 10.3174/ajnr.A6965

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  37 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Survival of diffuse astrocytic glioma, IDH1/2 wildtype, with molecular features of glioblastoma, WHO grade IV: a confirmation of the cIMPACT-NOW criteria.

Authors:  C Mircea S Tesileanu; Linda Dirven; Maarten M J Wijnenga; Johan A F Koekkoek; Arnaud J P E Vincent; Hendrikus J Dubbink; Peggy N Atmodimedjo; Johan M Kros; Sjoerd G van Duinen; Marion Smits; Martin J B Taphoorn; Pim J French; Martin J van den Bent
Journal:  Neuro Oncol       Date:  2020-04-15       Impact factor: 12.300

3.  Genetically Defined Oligodendroglioma Is Characterized by Indistinct Tumor Borders at MRI.

Authors:  D R Johnson; F E Diehn; C Giannini; R B Jenkins; S M Jenkins; I F Parney; T J Kaufmann
Journal:  AJNR Am J Neuroradiol       Date:  2017-01-26       Impact factor: 3.825

4.  Noninvasive Assessment of IDH Mutational Status in World Health Organization Grade II and III Astrocytomas Using DWI and DSC-PWI Combined with Conventional MR Imaging.

Authors:  Z Xing; X Yang; D She; Y Lin; Y Zhang; D Cao
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

5.  Noninvasive assessment of H3 K27M mutational status in diffuse midline gliomas by using apparent diffusion coefficient measurements.

Authors:  Hong Chen; Wanming Hu; Haoqiang He; Yuanzhong Yang; Ge Wen; Xiaofei Lv
Journal:  Eur J Radiol       Date:  2019-03-14       Impact factor: 3.528

6.  Lower apparent diffusion coefficients indicate distinct prognosis in low-grade and high-grade glioma.

Authors:  Yong Cui; Li Ma; Xuzhu Chen; Zhe Zhang; Haihui Jiang; Song Lin
Journal:  J Neurooncol       Date:  2014-05-30       Impact factor: 4.130

7.  Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.

Authors:  Tingting Liu; Guang Cheng; Xiaowei Kang; Yibin Xi; Yuanqiang Zhu; Kai Wang; Chao Sun; Jing Ye; Ping Li; Hong Yin
Journal:  Neuroradiology       Date:  2018-05-18       Impact factor: 2.804

Review 8.  Technology insight: water diffusion MRI--a potential new biomarker of response to cancer therapy.

Authors:  Daniel M Patterson; Anwar R Padhani; David J Collins
Journal:  Nat Clin Pract Oncol       Date:  2008-02-26

9.  The impact of surgery in molecularly defined low-grade glioma: an integrated clinical, radiological, and molecular analysis.

Authors:  Maarten M J Wijnenga; Pim J French; Hendrikus J Dubbink; Winand N M Dinjens; Peggy N Atmodimedjo; Johan M Kros; Marion Smits; Renske Gahrmann; Geert-Jan Rutten; Jeroen B Verheul; Ruth Fleischeuer; Clemens M F Dirven; Arnaud J P E Vincent; Martin J van den Bent
Journal:  Neuro Oncol       Date:  2018-01-10       Impact factor: 12.300

10.  Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain.

Authors:  Matthew Grech-Sollars; Patrick W Hales; Keiko Miyazaki; Felix Raschke; Daniel Rodriguez; Martin Wilson; Simrandip K Gill; Tina Banks; Dawn E Saunders; Jonathan D Clayden; Matt N Gwilliam; Thomas R Barrick; Paul S Morgan; Nigel P Davies; James Rossiter; Dorothee P Auer; Richard Grundy; Martin O Leach; Franklyn A Howe; Andrew C Peet; Chris A Clark
Journal:  NMR Biomed       Date:  2015-04       Impact factor: 4.044

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  1 in total

1.  ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis.

Authors:  A Baba; R Kurokawa; M Kurokawa; O Hassan; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

  1 in total

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