Application of APT, ASL and DCE-MRI in glioma grading(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第3期
- Page:
- 321-327
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Application of APT, ASL and DCE-MRI in glioma grading
- Author(s):
- CHENG Xiu1; 2; WANG Jun1; 2; WANG Rui1; LIU Guangyao1; MA Laiyang1; BAI Yuping1; LI Jie1; 2; REN Xinying1; 2; ZHANG Jing1
- 1. Department of Nuclear Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China 2. The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
- Keywords:
- Keywords: glioma amide proton transfer imaging arterial spin labeling technique dynamic contrast-enhanced magnetic resonance imaging differential diagnosis
- PACS:
- R739.4
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.03.011
- Abstract:
- Abstract: Objective To explore the value of multimodal magnetic resonance imaging (MRI) techniques such as amide proton transfer imaging (APT), arterial spin labeling (ASL), dynamic contrast-enhanced MRI (DCE-MRI) for the preoperative gliomas grading. Methods Forty-one cases of pathologically confirmed gliomas, including 18 cases of low-grade gliomas (LGG) and 23 cases of high-grade gliomas (HGG), were collected prospectively. Two doctors independently measured the mean APT (mAPT), mean cerebral blood flow (mCBF), mean volume transfer constant (mKtrans) of the tumor parenchymal area and the intraclass correlation coefficient between the measurers was calculated. Receiver operating characteristic (ROC) curve was used to compare the diagnostic efficacy of each parameter to distinguish LGG and HGG, and the AUC was compared between different techniques. Finally, the binary logistic regression method was used for multimodal joint evaluation. Results The consistency between the measurers was good. The mAPT, mCBF, and mKtrans of the parenchymal area of HGG were all greater than those of LGG, with statistical differences (P<0.05). When the technique was applied independently in gliomas grading, the AUC of mAPT, mCBF and mKtrans were 0.96, 0.91 and 0.93, respectively and the sensitivities of mAPT, mCBF and mKtrans were 0.91, 0.91 and 0.83, respectively and the specificities of mKtrans, mAPT and mCBF were 1.00, 0.94 and 0.83, respectively. When combining techniques in gliomas grading, the combination of 3 kinds of techniques had the best diagnostic performance. The AUC of the combination of 3 kinds of techniques, mAPT combined with mCBF, mCBF combined with mKtrans, and mAPT combined with mKtrans were 1.00, 0.99, 0.99 and 0.97, respectively. The sensitivity of the combination of 3 kinds of technologies was up to 1, and that of mAPT combined with mCBF, mCBF combined with mKtrans, and mAPT combined with mKtrans was 0.96, 0.96 and 0.91, respectively. The specificity of the combination of 3 kinds of techniques was 0.94, and that of the combination of any two of them could reach 1.00. Conclusion APT, ASL, and DCE-MRI show good diagnostic value for the preoperative gliomas grading. Among them, APT has the optimal diagnostic efficiency, while the diagnostic efficiency of ASL is the worst. There is no statistical difference in the AUC among 3 kinds of techniques. The combination of different techniques for gliomas grading can improve the ability of differential diagnosis, and the combination of 3 kinds of techniques can become a powerful glioma grading technique.
Last Update: 2022-03-28