Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume

Saberi, Mahdiyeh; Faeghi, Fariborz; Miri, Mojtaba; Rostamzadeh, Ayoob; Khodakarim, Soheila; Naleini, Farhad

doi:10.18869/acadpub.cjns.2.4.42

Cited by 4 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We further confirm the inverse correlation between the median rCBV and ADC. 16 This finding also corresponds with the underlying tumor biology of increased vascularity of tumor cells and thus increased blood volume on the one hand and increased cellularity due to higher proliferation rates and thus decreased free water motion on the other hand. 6 , 7 , 23 …”

Section: Discussionsupporting

confidence: 64%

“…patients’ age and tumor grade as well as localization, of each of the different molecular profiles are not surprising. 8 , 16 , 20 , 28–31 The higher male/female ratio across molecular profiles in our study can be explained by the general difference in incidence of adult glioma in the population. 32 We could not replicate the significantly higher tumor volumes in IDHmt versus IDHwt tumors found previously.…”

Section: Discussionmentioning

confidence: 65%

“…We used percentile values derived from the histogram analysis rather than the minimum and maximum values as the latter are heavily dependent on outliers. The aforementioned inverse correlation between rCBV and ADC 16 was analyzed in our dataset using a Pearson’s Chi-square test and the median rCBV/ADC ratio was compared across molecular profile groups. Posthoc analyses with pairwise comparisons were performed when a significant correlation was found using Bonferroni corrected p-value for multiple testing (three pairwise comparisons).…”

Section: Methodsmentioning

confidence: 99%

“… 9 , 10 Likewise, an inverse correlation between rCBV and ADC with tumor grade was found, showing high rCBV and low ADC in high-grade tumors, reflecting high vascularity and cellularity, respectively. 16 Also, a higher rCBV in 1p/19q codeleted tumors compared to 1p/19q intact tumors was found, presumably related to their known differences in vascularization. 8 , 11 None of the previous studies, however, investigated the biological correlation of both parameters in the whole spectrum of molecular profiles and in the setting of initially nonenhancing lesions.…”

mentioning

confidence: 88%

See 3 more Smart Citations

Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters

Pruis,

Koene,

van der Voort

et al. 2022

Neuro-Oncology Advances

View full text Add to dashboard Cite

Background Non-enhancing glioma typically have a favorable outcome, but approximately 19-44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular profiles of glioma without enhancement at presentation. Methods Ninety-nine patients with non-enhancing glioma were included, in whom molecular status (including 1p/19q co-deletion status and IDH mutation) and pre-operative MRI (T2w/FLAIR, dynamic susceptibility weighted and diffusion weighted imaging) were available. Tumors were segmented semi-automatically using ITK-SNAP to derive whole tumor histograms of relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC). Tumors were divided into three clinically relevant molecular profiles: IDH mutation (IDHmt) with (n=40) or without (n=41) 1p/19q co-deletion, and (n=18) IDH-wildtype (IDHwt). ANOVA, Kruskal-Wallis and Chi-Square analyses were performed using SPSS. Results rCBV (mean, median, 75 th and 85 th percentile) and ADC (mean, median, 15 th and 25 th percentile) showed significant differences across molecular profiles (p<0.01). Post-hoc analyses revealed that IDHwt and IDHmt 1p/19q co-deleted tumors showed significantly higher rCBV compared to IDHmt 1p/19q intact tumors: mean rCBV (mean, SD) 1.46 (0.59) and 1.35 (0.39) versus 1.08 (0.31), p<0.05. Also, IDHwt tumors showed significantly lower ADC compared to IDHmt 1p/19q co-deleted and IDHmt 1p/19q intact tumors: mean ADC (mean, SD) 1.13 (0.23) versus 1.27 (0.15) and 1.45 (0.20), p<0.001). Conclusions A combination of low ADC and high rCBV, reflecting high cellularity and high perfusion respectively, separates IDHwt from in particular IDHmt 1p/19q intact glioma.

show abstract

Section: Discussionsupporting

confidence: 64%