Journal
JOURNAL OF CLINICAL NEUROSCIENCE
Volume 98, Issue -, Pages 21-+Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jocn.2022.01.021
Keywords
Apparent diffusion coefficient (ADC); Diffusion weighted imaging (DWI); Skull lesions; Histopathological (HPE) correlation; Region of interest (ROI)
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This study assessed the role of ADC in differentiating benign and malignant skull lesions and found that ADC has good discriminative ability. ADC can serve as an important adjunct tool to narrow the differentials when conventional imaging features are indeterminate.
Aim: Assess role of ADC in differentiating benign and malignant skull lesions and to evaluate the added value of ADC over conventional MRI in facilitating the differentiation. Materials and methods: 53 patients (24 males, 29 females; age 3-75 years) were subjected to both conventional and Diffusion weighted (DWI) MR imaging. DWI was performed using a single-shot SE EPI sequence with b-values of 0& 1000 s/mm(2) on 1.5 T MR scanner. Margins of the lesion, number, soft-tissue component, local extension, periosteal reaction and enhancement pattern were the parameters used for differentiating benign & malignant lesions by conventional MRI. ADC values (mean of 3 ROIs over solid component) were calculated. Conventional MRI characteristics and ADC value of lesions were evaluated & compared using statistical analysis. These findings were compared and correlated with histopathology of the skull lesions. Results: 24 malignant and 29 benign lesions were identified on HPE (Histopathological examination) in 53 patients. ADC cut-off value of 0.96 x 10(-3) mm(2)/s obtained from ROC curve was found to have 75.47% accuracy, 87.5% sensitivity, 65.52% specificity, 67.74% PPV and 86.36% NPV for differentiating malignant from benign lesions. Statistically significant differences (p < 0.05) were seen in the mean ADC values of malignant (0.64 +/- 0.42 x 10 (-3) mm(2)/s) and benign lesions (1.14 +/- 0.56 x 10(-3) mm(2)/s). The sensitivity, specificity, PPV and NPV in differentiating benign & malignant skull lesions were found to be 58.33%, 62.07%, 56% and 64.29% respectively, with diagnostic accuracy of 60.38% on using conventional MRI alone and 75%, 72.41%, 69.23% and 77.78% respectively, with diagnostic accuracy of 73.58% on using conventional MRI with ADC. Conclusion: ADC is a promising non-invasive parameter that facilitates differentiation between benign and malignant skull lesions. It is a robust biomarker to narrow differentials when conventional imaging features are indeterminate. (c) 2022 Elsevier Ltd. All rights reserved.
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