Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume

Yoon Seong Choi, Sung Soo Ahn, Seung Koo Lee, Jong Hee Chang, Seok Gu Kang, Se Hoon Kim, Jinyuan Zhou

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Objectives: To evaluate the added value of amide proton transfer (APT) imaging to the apparent diffusion coefficient (ADC) from diffusion tensor imaging (DTI) and the relative cerebral blood volume (rCBV) from perfusion magnetic resonance imaging (MRI) for discriminating between high- and low-grade gliomas. Methods: Forty-six consecutive adult patients with diffuse gliomas who underwent preoperative APT imaging, DTI and perfusion MRI were enrolled. APT signals were compared according to the World Health Organization grade. The diagnostic ability and added value of the APT signal to the ADC and rCBV for discriminating between low- and high-grade gliomas were evaluated using receiver operating characteristic (ROC) analyses and integrated discrimination improvement. Results: The APT signal increased as the glioma grade increased. The discrimination abilities of the APT, ADC and rCBV values were not significantly different. Using both the APT signal and ADC significantly improved discrimination vs. the ADC alone (area under the ROC curve [AUC], 0.888 vs. 0.910; P = 0.007), whereas using both the APT signal and rCBV did not improve discrimination vs. the rCBV alone (AUC, 0.927 vs. 0.923; P = 0.222). Conclusions: APT imaging may be a useful imaging biomarker that adds value to the ADC for discriminating between low- and high-grade gliomas. Key points: • Higher APT values were correlated with higher glioma grades. • Adding the APT signal to the ADC improved glioma grading. • Adding the APT signal to rCBV did not improve glioma grading. • APT is a useful adjunct to the ADC for glioma grading.

Original languageEnglish
Pages (from-to)3181-3189
Number of pages9
JournalEuropean Radiology
Volume27
Issue number8
DOIs
Publication statusPublished - 2017 Aug 1

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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