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Correlation of T1- to T2-weighted signal intensity ratio with T1- and T2-relaxation time and IDH mutation status in glioma.

Authors :
Sanada T
Yamamoto S
Sakai M
Umehara T
Sato H
Saito M
Mitsui N
Hiroshima S
Anei R
Kanemura Y
Tanino M
Nakanishi K
Kishima H
Kinoshita M
Source :
Scientific reports [Sci Rep] 2022 Nov 05; Vol. 12 (1), pp. 18801. Date of Electronic Publication: 2022 Nov 05.
Publication Year :
2022

Abstract

The current study aimed to test whether the ratio of T1-weighted to T2-weighted signal intensity (T1W/T2W ratio: rT1/T2) derived from conventional MRI could act as a surrogate relaxation time predictive of IDH mutation status in histologically lower-grade gliomas. Strong exponential correlations were found between rT1/T2 and each of T1- and T2-relaxation times in eight subjects (rT1/T2 = 1.63exp <superscript>-0.0005T1-relax</superscript>  + 0.30 and rT1/T2 = 1.27exp <superscript>-0.0081T2-relax</superscript>  + 0.48; R <superscript>2</superscript>  = 0.64 and 0.59, respectively). In a test cohort of 25 patients, mean rT1/T2 (mrT1/T2) was significantly higher in IDHwt tumors than in IDHmt tumors (p < 0.05) and the optimal cut-off of mrT1/T2 for discriminating IDHmt was 0.666-0.677, (AUC = 0.75, p < 0.05), which was validated in an external domestic cohort of 29 patients (AUC = 0.75, p = 0.02). However, this result was not validated in an external international cohort derived from TCIA/TCGA (AUC = 0.63, p = 0.08). The t-Distributed Stochastic Neighbor Embedding analysis revealed a greater diversity in image characteristics within the TCIA/TCGA cohort than in the two domestic cohorts. The failure of external validation in the TCIA/TCGA cohort could be attributed to its wider variety of original imaging characteristics.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
12
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
36335158
Full Text :
https://doi.org/10.1038/s41598-022-23527-9