Correlation between MR amide proton transfer signal intensity and pathologic features in brain glioma

Ge Zhang, Xianlong Wang, Shilong Lu, Jinyuan Zhou, Zhibo Wen

Research output: Contribution to journalArticle

Abstract

Objective: To investigate the probable pathologic basis of amido proton transfer(APT) imaging by analysing APT signal intensity and pathologic features of different grades of glioma.

Methods: Twenty-eight patients with glioma confirmed by postoperative pathology underwent APT scan. All the patients were divided into two groups, including 11 cases in low grade (WHO I and II) and 17 cases in high grade (WHO III and IV) group. The APT rate of tumor core was measured. The specimens were processed with routine hematoxylin-eosin (HE) staining and immunohistochemistry of Ki-67 and CD34. Independent-samples t test was used to detect the difference of APT rate, cellularity, microvessel density and Ki-67 labeling indices of tumor core between low grade and high grade group. Pearson correlation analysis and multi-variable linear regression analysis were used to detect the relationship of APT rate with cellularity, microvessel density and Ki-67 labeling indices of the tumor core.

Results: The APT rate, cellularity and proliferation index were (2.3±0.6)%, (9.4±2.4)% and (14.2±5.4)% in low grade group, while (3.6±0.7)%, (18.4±4.7)% and (31.7±4.5)% in high grade group, respectively. Microvessel density was (19.0±7.4) per high-power field in low grade group and (38.9±11.3) in high grade group. There were statistical differences of the APT rate, cellularity, microvessel density and proliferation index between the low grade group and the high grade group (t=-4.94, -5.89, -5.13, and-9.28, respectively, P<0.01). The APT rate was positive correlated with cellularity, microvessel density and proliferation index. The coefficient of correlation were 0.904, 0.598, and 0.750, respectively, (P<0.01). Multiple linear correlative analysis showed that increasing cellularity (X1), microvessel density (X2) and proliferation index (X3) were the main factors for increasing APT rate, and the correlation equation was Y=0.801 + 0.12X1-0.003X2 + 0.026X3 (F=46.437, P<0.01, R2=0.853).

Conclusions: The APT signal intensity of the tumor core could reflect the pathologic features of glioma. The APT rate was positive correlated with cellularity, microvessel density and proliferation index, which indicate the higher APT rate the higher grade tumor.

Original languageEnglish (US)
Pages (from-to)736-740
Number of pages5
JournalChinese Journal of Radiology (China)
Volume48
Issue number9
DOIs
StatePublished - Sep 10 2014
Externally publishedYes

Keywords

  • Glioma
  • Magnetic resonance imaging
  • Pathology

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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