European Radiology

, Volume 27, Issue 12, pp 5309–5315 | Cite as

Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging

  • Qiang Zeng
  • Fei Dong
  • Feina Shi
  • Chenhan Ling
  • Biao Jiang
  • Jianmin Zhang
Magnetic Resonance
  • 187 Downloads

Abstract

Objective

To assess whether ADC maps obtained from high b value DWI were more valuable in preoperatively evaluating the grade, Ki-67 index and outcome of gliomas.

Methods

Sixty-three patients with gliomas, who underwent preoperative multi b value DWI at 3 T, were enrolled. The ADC1000, ADC2000 and ADC3000 maps were generated. Receiver operating characteristic analyses were conducted to determine the area under the curve (AUC) in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG). Pearson correlation coefficients (R value) were calculated to investigate the correlation between parameters with the Ki-67 proliferation index. Survival analysis was conducted by using Cox regression.

Results

The AUC of the mean ADC1000 value (0.820) was lower than that of the mean ADC2000 value (0.847) and mean ADC3000 value (0.875) in differentiating HGG from LGG. The R value of the mean ADC1000 value (−0.499) was less negative than that of the mean ADC2000 value (−0.530) and mean ADC3000 value (−0.567). The mean ADC3000 value was an independent prognosis factor for gliomas (p = 0.008), while the mean ADC1000 and ADC2000 values were not.

Conclusion

ADC maps obtained from high b value DWI might be a better imaging biomarker in the preoperative evaluation of gliomas.

Key Points

ADC 3000 maps could improve the differentiation between HGG and LGG.

The mean ADC 3000 value had a closer correlation with the Ki-67 index.

The mean ADC 3000 value was an independent prognosis factor for gliomas.

Keywords

Diffusion magnetic resonance imaging Glioma Neoplasm grading Ki-67 antigen Prognosis 

Abbreviations

ADC

Apparent diffusion coefficient

AUC

Area under the curve

DWI

Diffusion-weighted imaging

HGG

High-grade gliomas

LGG

Low-grade gliomas

NSA

Number of scan averages

ROC

Receiver operating characteristic

ROI

Region of interest

SNR

Signal-to-noise ratio

Notes

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Jianmin Zhang.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Funding

The authors state that this work has not received any funding.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional review board approval was obtained.

Methodology

•retrospective

•diagnostic or prognostic study

•performed at one institution

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Copyright information

© European Society of Radiology 2017

Authors and Affiliations

  • Qiang Zeng
    • 1
  • Fei Dong
    • 2
  • Feina Shi
    • 3
  • Chenhan Ling
    • 1
  • Biao Jiang
    • 2
  • Jianmin Zhang
    • 1
  1. 1.Department of NeurosurgerySecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouChina
  2. 2.Department of RadiologySecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouChina
  3. 3.Department of NeurologySecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouChina

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