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Whole-tumor histogram analysis of the cerebral blood volume map: tumor volume defined by 11C-methionine positron emission tomography image improves the diagnostic accuracy of cerebral glioma grading

Authors :
Yasunori Fujimoto
Rongli Wu
Jun Hatazawa
Hisashi Tanaka
Atsuko Arisawa
Yoshiyuki Watanabe
Noriyuki Tomiyama
Tadashi Watabe
Hiroto Takahashi
Kayako Isohashi
Source :
Japanese Journal of Radiology. 35:613-621
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

This study aimed to compare the tumor volume definition using conventional magnetic resonance (MR) and 11C-methionine positron emission tomography (MET/PET) images in the differentiation of the pre-operative glioma grade by using whole-tumor histogram analysis of normalized cerebral blood volume (nCBV) maps. Thirty-four patients with histopathologically proven primary brain low-grade gliomas (n = 15) and high-grade gliomas (n = 19) underwent pre-operative or pre-biopsy MET/PET, fluid-attenuated inversion recovery, dynamic susceptibility contrast perfusion-weighted magnetic resonance imaging, and contrast-enhanced T1-weighted at 3.0 T. The histogram distribution derived from the nCBV maps was obtained by co-registering the whole tumor volume delineated on conventional MR or MET/PET images, and eight histogram parameters were assessed. The mean nCBV value had the highest AUC value (0.906) based on MET/PET images. Diagnostic accuracy significantly improved when the tumor volume was measured from MET/PET images compared with conventional MR images for the parameters of mean, 50th, and 75th percentile nCBV value (p = 0.0246, 0.0223, and 0.0150, respectively). Whole-tumor histogram analysis of CBV map provides more valuable histogram parameters and increases diagnostic accuracy in the differentiation of pre-operative cerebral gliomas when the tumor volume is derived from MET/PET images.

Details

ISSN :
1867108X and 18671071
Volume :
35
Database :
OpenAIRE
Journal :
Japanese Journal of Radiology
Accession number :
edsair.doi.dedup.....6f38846ee855ba525b661bc8e04c966a
Full Text :
https://doi.org/10.1007/s11604-017-0675-2