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• Clinical Article •
Whole tumor volume based histogram analysis of ADC signal intensity for differentitating between WHO grade Ⅱ and Ⅲ glioma
LIU Yang-ying-qiu  SHANG Jin  TIAN Shi-yun  SONG Qing-wei  HUANG Ning  GUO Yan  MIAO Yan-wei 

DOI:10.12015/issn.1674-8034.2017.04.008.


[Abstract] Objective: To evaluate the differential diagnostic value of histogram analysis of ADC signal intensity based on entire region of grade Ⅱ and Ⅲ tumor, and then to investigate a potential imaging biomarker to differentiate them.Materials and Methods: Thirteen patients with grade Ⅱ glioma and 20 patients with grade Ⅲ glioma were enrolled in this retrospective study, and all tumors were pathologically confirmed. ROIs containing the entire tumor and peripheral edema were drawn in each slice of the ADC signal intensity maps. Obtained the 3D ROI ADC signal strength histogram information and all its parameters. Histogram related parameters including min intensity, max intensity, mean value, the 10th, 25th, 50th, 75th and 90th percentiles, range, voxel number, standard deviation, variance, mean deviation, skewness, kurtosis and uniformity were recorded. The obtained parameters were compared between groups. Receiver operating characteristic (ROC) curve was constructed to assess the ability of parameters between grade Ⅱ and Ⅲ glioma.Results: Min Intensity (P=0.04), 10th percentiles (P=0.03), voxel number (P=0.003), standard deviation (P=0.022), skewness (P=0.017) showed significant difference between two groups. When optimal cut point of voxel number was 5.46×106 for diagnosis of grade Ⅱ and Ⅲ, the area under the ROC curve was maximum, which was 0.856, the sensitivity and specificity was 81.5%, 80.0%. When optimal cut point of skewness was-1.414, the area under the ROC curve was 0.750, the sensitivity and specificity was 100.0%, 60.0%. When optimal cut point of standard deviation was 14.602, the area under the ROC curve was 0.738, the sensitivity and specificity was 100.0%, 55.0%.Conclusion: Histogram analysis of ADC signal intensity based on entire tumor could provide more information in differentiation of grade Ⅱ and Ⅲ glioma. Voxel number, standard deviation and skewness showed superior diagnostic value.
[Keywords] Glioma；Magnetic resonance imaging；Histogram analysis；Apparent diffusion coefficient；Neoplasm grading

LIU Yang-ying-qiu Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

SHANG Jin Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

TIAN Shi-yun Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

SONG Qing-wei Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

HUANG Ning Life science, GE Healthcare, Shenyang 110000, China

GUO Yan Life science, GE Healthcare, Shenyang 110000, China

MIAO Yan-wei* Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

*Correspondence to: Miao YW, E-mail: ywmiao716@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Nature Science Foundation of China No. 81671646
Received  2016-12-24
Accepted  2017-02-21
DOI: 10.12015/issn.1674-8034.2017.04.008
DOI:10.12015/issn.1674-8034.2017.04.008.

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