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. 2023 Mar-Apr;47(2):322-328.
doi: 10.1097/RCT.0000000000001400.

Correlation Between Apparent Diffusion Coefficient and the Ki-67 Proliferation Index in Grading Pediatric Glioma

Affiliations

Correlation Between Apparent Diffusion Coefficient and the Ki-67 Proliferation Index in Grading Pediatric Glioma

Rong Yao et al. J Comput Assist Tomogr. 2023 Mar-Apr.

Abstract

Objective: This study aimed to investigate the correlation between apparent diffusion coefficient (ADC) and the Ki-67 proliferation index with the pathologic grades of pediatric glioma and to compare their diagnostic performance in differentiating grades of pediatric glioma.

Patients and methods: Magnetic resonance imaging examinations and histopathologies of 121 surgically treated pediatric gliomas (87 low-grade gliomas [LGGs; grades 1 and 2] and 34 high-grade gliomas [HGGs; grades 3 and 4]) were retrospectively reviewed. The mean tumor ADC (ADCmean), minimum tumor ADC (ADCmin), tumor/normal brain ADC ratio (ADC ratio), and value of the Ki-67 proliferation index of LGGs and HGGs were compared. Correlation coefficients were calculated for ADC parameters and Ki-67 values. The receiver operating characteristic curve was used to determine the diagnostic value of ADCmean, ADCmin, ADC ratio, and Ki-67 proliferation index for differentiating LGGs and HGGs.

Results: The ADC values were significantly negatively correlated with glioma grade, and the Ki-67 proliferation index had a significant positive correlation with glioma grade. A significant negative correlation was observed between ADCmean and Ki-67 proliferation index, between ADCmin and Ki-67 proliferation index, and between ADC ratio and Ki-67 proliferation index. The receiver operating characteristic analysis demonstrated moderate to good accuracy for ADCmean in discriminating LGGs from HGGs (area under the curve [AUC], 0.875; sensitivity, 79.3%; specificity, 82.4%; accuracy, 80.2%; positive predictive value [PPV], 92.0%; and negative predictive value [NPV], 60.9% [cutoff value, 1.187] [×10-3 mm2/s]). Minimum tumor ADC showed very good to excellent accuracy with AUC of 0.946, sensitivity of 86.2%, specificity of 94.1%, accuracy of 88.4%, PPV of 97.4%, and NPV of 72.7% (cutoff value, 0.970) (×10-3 mm2/s). The ADC ratio showed moderate to good accuracy with AUC of 0.854, sensitivity of 72.4%, specificity of 88.2%, accuracy of 76.9%, PPV of 94.0%, and NPV of 55.6% (cutoff value, 1.426). For the parameter of the Ki-67 proliferation index, in discriminating LGGs from HGGs, very good to excellent diagnostic accuracy was observed (AUC, 0.962; sensitivity, 94.1%; specificity, 89.7%; accuracy, 90.9%; PPV, 97.5%; and NPV, 78.0% [cutoff value, 7]).

Conclusions: Apparent diffusion coefficient parameters and the Ki-67 proliferation index were significantly correlated with histological grade in pediatric gliomas. Apparent diffusion coefficient was closely correlated with the proliferative potential of pediatric gliomas. In addition, ADCmin showed superior performance compared with ADCmean and ADC ratio in differentiating pediatric glioma grade, with a close diagnostic efficacy to the Ki-67 proliferation index.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Flowchart shows the screening process.
FIGURE 2
FIGURE 2
A 1-year-old girl with pilocytic astrocytoma (World Health Organization grade 1) in the right basal ganglia region (white arrow). A, Axial T1 fluid-attenuated inversion recovery image reveals a low signal intensity. B, Axial contrast-enhanced T1-weighted image displays prominent enhancement. C, Axial diffusion-weighted image shows a low signal intensity. D, The axial apparent diffusion coefficient (ADC) map delineates high ADC values. E and F, Color graph showing results of pathological staining. E, Hematoxylin-eosin staining presents a biphasic architectural pattern with dense and loose areas, consisting of multipolar cells with round to spindled nuclei and Rosenthal fibers (×400 magnification). F, The Ki-67 proliferation index is low, with approximately 5% of tumor cells staining positive (×400 magnification). Figure 2 can be viewed online in color at www.jcat.org.
FIGURE 3
FIGURE 3
A 13-year-old male adolescent with glioblastoma (World Health Organization grade 4) in the left temporal and occipital region (white arrow). A, Axial T1 fluid-attenuated inversion recovery image reveals a slightly low signal intensity. B, Axial contrast-enhanced T1-weighted image shows a slight enhancement. C, Axial diffusion-weighted imaging image exhibits a high signal intensity. D, The axial apparent diffusion coefficient (ADC) map demonstrates low ADC values. E and F, Color graph showing results of pathological staining. E, Hematoxylin-eosin staining shows a highly cellular glial neoplasm with nuclear pleomorphic cells and focal microvascular proliferation (×400 magnification). F, The Ki-67 proliferation index is high, with approximately 55% of tumor cells staining positive (×400 magnification). Figure 3 can be viewed online in color at www.jcat.org.
FIGURE 4
FIGURE 4
A, Receiver operating characteristic (ROC) curve of the mean apparent diffusion coefficient (ADCmean) values. B, ROC curve of the minimum apparent diffusion coefficient (ADCmin) values. C, ROC curve of the apparent diffusion coefficient ratios. Figure 4 can be viewed online in color at www.jcat.org.
FIGURE 5
FIGURE 5
Receiver operating characteristic (ROC) curve of the Ki-67 proliferation index. Figure 5 can be viewed online in color at www.jcat.org.

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