Purpose The primary aim of this prospective observational study was to assess whether diffusion MRI metrics correlate with isocitrate dehydrogenase (IDH) status in grade II and III gliomas. A secondary aim was to investigate whether multishell acquisitions with advanced models such as neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging offer greater diagnostic accuracy than diffusion-tensor imaging (DTI). Materials and Methods Diffusion MRI (b = 700 and 2000 sec/mm2) was performed preoperatively in 192 consecutive participants (113 male and 79 female participants; mean age, 46.18 years; age range, 14-77 years) with grade II (n = 62), grade III (n = 58), or grade IV (n = 72) gliomas. DTI, diffusion kurtosis imaging, and NODDI metrics were measured in regions with or without hyperintensity on diffusion MR images and compared among groups defined according to IDH genotype, 1p/19q codeletion status, and tumor grade by using Mann-Whitney tests. Results In grade II and III IDH wild-type gliomas, the maximum fractional anisotropy, kurtosis anisotropy, and restriction fraction were significantly higher and the minimum mean diffusivity was significantly lower than in IDH-mutant gliomas (P = .011, P = .002, P = .044, and P = .027, respectively); areas under the receiver operating characteristic curve ranged from 0.72 to 0.76. In IDH wild-type gliomas, no difference among grades II, III, and IV was found. In IDH-mutant gliomas, no difference between those with and those without 1p/19q loss was found. Conclusion Diffusion MRI metrics showed correlation with isocitrate dehydrogenase status in grade II and III gliomas. Advanced diffusion MRI models did not add diagnostic accuracy, supporting the inclusion of a single-shell diffusion-tensor imaging acquisition in brain tumor imaging protocols. © RSNA, 2018 Online supplemental material is available for this article.

Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI : Single-Shell versus Multishell Diffusion Models / M. Figini, M. Riva, M. Graham, G. Castelli, B. Fernandes, M. Grimaldi, G. Baselli, F. Pessina, L. Bello, H. Zhang, A. Bizzi. - In: RADIOLOGY. - ISSN 0033-8419. - 289:3(2018 Dec 01), pp. 788-796. [10.1148/radiol.2018180054]

Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI : Single-Shell versus Multishell Diffusion Models

Figini M;Riva M;Fernandes B;Bello L;
2018-12-01

Abstract

Purpose The primary aim of this prospective observational study was to assess whether diffusion MRI metrics correlate with isocitrate dehydrogenase (IDH) status in grade II and III gliomas. A secondary aim was to investigate whether multishell acquisitions with advanced models such as neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging offer greater diagnostic accuracy than diffusion-tensor imaging (DTI). Materials and Methods Diffusion MRI (b = 700 and 2000 sec/mm2) was performed preoperatively in 192 consecutive participants (113 male and 79 female participants; mean age, 46.18 years; age range, 14-77 years) with grade II (n = 62), grade III (n = 58), or grade IV (n = 72) gliomas. DTI, diffusion kurtosis imaging, and NODDI metrics were measured in regions with or without hyperintensity on diffusion MR images and compared among groups defined according to IDH genotype, 1p/19q codeletion status, and tumor grade by using Mann-Whitney tests. Results In grade II and III IDH wild-type gliomas, the maximum fractional anisotropy, kurtosis anisotropy, and restriction fraction were significantly higher and the minimum mean diffusivity was significantly lower than in IDH-mutant gliomas (P = .011, P = .002, P = .044, and P = .027, respectively); areas under the receiver operating characteristic curve ranged from 0.72 to 0.76. In IDH wild-type gliomas, no difference among grades II, III, and IV was found. In IDH-mutant gliomas, no difference between those with and those without 1p/19q loss was found. Conclusion Diffusion MRI metrics showed correlation with isocitrate dehydrogenase status in grade II and III gliomas. Advanced diffusion MRI models did not add diagnostic accuracy, supporting the inclusion of a single-shell diffusion-tensor imaging acquisition in brain tumor imaging protocols. © RSNA, 2018 Online supplemental material is available for this article.
Settore MED/27 - Neurochirurgia
Settore MED/36 - Diagnostica per Immagini e Radioterapia
2-ott-2018
RADIOLOGY
Article (author)
File in questo prodotto:
File Dimensione Formato  
Radiology_PredictionIsocitrate.pdf

non disponibili

Tipologia: Publisher's version/PDF
Dimensione 835.38 kB
Formato Adobe PDF
835.38 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
radiol.2018180054.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 835.38 kB
Formato Adobe PDF
835.38 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/595184
Citazioni
  • ???jsp.display-item.citation.pmc??? 7
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 15
social impact