Oncotarget

Clinical Research Papers:

Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading

Yu-Chuan Hu _, Lin-Feng Yan, Qian Sun, Zhi-Cheng Liu, Shu-Mei Wang, Yu Han, Qiang Tian, Ying-Zhi Sun, Dan-Dan Zheng, Wen Wang and Guang-Bin Cui

PDF  |  HTML  |  How to cite

Oncotarget. 2017; 8:37884-37895. https://doi.org/10.18632/oncotarget.14180

Metrics: PDF 1747 views  |   HTML 3140 views  |   ?  


Abstract

Yu-Chuan Hu1,*, Lin-Feng Yan1,*, Qian Sun1, Zhi-Cheng Liu1, Shu-Mei Wang2, Yu Han1, Qiang Tian1, Ying-Zhi Sun1, Dan-Dan Zheng3, Wen Wang1 and Guang-Bin Cui1

1Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi’an, China

2Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi’an, China

3MR Research China, GE Healthcare China, Beijing, China

*These authors have contributed equally to this work

Correspondence to:

Guang-Bin Cui, email: [email protected]

Wen Wang, email: [email protected]

Keywords: glioma, grading, diffusion-weighted imaging, MRI, apparent diffusion coefficient

Received: August 17, 2016    Accepted: November 22, 2016    Published: December 26, 2016

ABSTRACT

To compare the efficacy of ultra-high and conventional mono-b-value DWI for glioma grading, in 109 pathologically confirmed glioma patients, ultra-high apparent diffusion coefficient (ADCuh)was calculated using a tri-exponential mode, distributed diffusion coefficients (DDCs) and α values were calculated using a stretched-exponential model, and conventional ADC values were calculated using a mono-exponential model. The efficacy and reliability of parameters for grading gliomas were investigated using receiver operating characteristic (ROC) curve and intra-class correlation (ICC) analyses, respectively. The ADCuh values differed (P < 0.001) between low-grade gliomas (LGGs; 0.436 ×10−3 mm2/sec) and high-grade gliomas (HGGs; 0.285 × 10−3 mm2/sec). DDC, a and various conventional ADC values were smaller in HGGs (all P ≤ 0.001, vs. LGGs). The ADCuh parameter achieved the highest diagnostic efficacy with an area under curve (AUC) of 0.993, 92.9% sensitivity and 98.8% specificity for glioma grading at a cutoff value of 0.362×10−3 mm2/sec. ADCuh measurement appears to be an easy-to-perform technique with good reproducibility (ICC = 0.9391, P < 0.001). The ADCuh value based in a tri-exponential model exhibited greater efficacy and reliability than other DWI parameters, making it a promising technique for glioma grading.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 14180