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The correlation of fractional anisotropy parameters with Ki-67 index, and the clinical implication in grading of non-enhancing gliomas and neuronal-glial tumors.
- Source :
-
Magnetic resonance imaging [Magn Reson Imaging] 2020 Jan; Vol. 65, pp. 129-135. Date of Electronic Publication: 2019 Oct 20. - Publication Year :
- 2020
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Abstract
- Purpose: To investigate the correlation between the FA parameters and Ki-67 labeling index, and their diagnostic performance in grading supratentorial non-enhancing gliomas and neuronal-glial tumors (GNGT).<br />Methods: This institutional review board-approved, Health Insurance Portability and Accountability (HIPAA) compliant retrospective study enrolled 35 patients, including 19 with low grade GNGT and 16 with high grade GNGT. The mean FA, maximal FA and mean maximal FA values derived from diffusion tensor imaging were measured. The correlation between the FA parameters and the Ki-67 labeling index was assessed by Spearman rank test. The receiver operating characteristic curve analysis and multivariate logistic regression analysis were performed to detect the optimal imaging parameters in grading GNGT.<br />Results: The three FA parameters of low grade GNGT were significantly lower than the high grade GNGT (p < 0.001). The mean FA, maximal FA and mean maximal FA had significant positive correlation with Ki-67 labeling index (p = 0.001, p < 0.001, p < 0.001 respectively). The maximal FA showed a higher sensitivity and specificity in grading of non-enhancing GNGT with specificity of 78.9%, sensitivity of 100.0%, respectively.<br />Conclusions: The FA parameters correlated with Ki-67 labeling index, and were useful surrogates in preoperative grading supratentorial non-enhancing GNGT.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Adult
Brain diagnostic imaging
Brain Neoplasms pathology
Female
Glioma pathology
Humans
Ki-67 Antigen
Male
Middle Aged
Multivariate Analysis
Neoplasm Grading
Neurons pathology
ROC Curve
Retrospective Studies
Sensitivity and Specificity
Anisotropy
Brain Neoplasms diagnostic imaging
Diffusion Tensor Imaging
Glioma diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1873-5894
- Volume :
- 65
- Database :
- MEDLINE
- Journal :
- Magnetic resonance imaging
- Publication Type :
- Academic Journal
- Accession number :
- 31644925
- Full Text :
- https://doi.org/10.1016/j.mri.2019.10.009