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Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient

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Abstract

Objective

This study was performed to predict malignancy of submandibular gland tumors using the apparent diffusion coefficient (ADC).

Methods

In total, 31 patients (19 male, 12 female; age, 16–71 years) with solid submandibular gland tumors were retrospectively analyzed. All patients underwent single-shot echo-planar diffusion-weighted magnetic resonance imaging of the submandibular gland region. ADC maps of the submandibular gland were reconstructed. The ADC value of the submandibular gland tumors was calculated. A freehand region of interest encompassing the homogenous tumor and solid part of the heterogeneous tumor was established.

Results

The mean ADC for submandibular gland malignancy (1.15 ± 0.09 × 10−3 mm2/s) was significantly lower than that for benignancy (1.55 ± 0.25 × 10−3 mm2/s, P = 0.001). An ADC of 1.26 × 10−3 mm2/s could predict malignancy of submandibular gland tumors with an area under the curve of 0.869, accuracy of 84%, sensitivity of 88%, and specificity of 81%.

Conclusion

The ADC is a noninvasive imaging parameter that can be used for prediction of malignancy of submandibular gland tumors.

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Authors and Affiliations

  1. Department of Diagnostic Radiology, Faculty of Medicine, Mansoura University, 203 Elgomheryia Street, Mansoura, 13551, Egypt

    Ahmed Abdel Khalek Abdel Razek

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  1. Ahmed Abdel Khalek Abdel Razek
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Correspondence to Ahmed Abdel Khalek Abdel Razek.

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Ahmed Abdel Khalek Abdel Razek declares no conflict of interest.

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This article does not contain any studies with human or animal subjects performed by the author.

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Razek, A.A.K.A. Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient. Oral Radiol 35, 11–15 (2019). https://doi.org/10.1007/s11282-017-0311-y

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  • DOI: https://doi.org/10.1007/s11282-017-0311-y

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