ArticleOral radiology2019
Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient.
Article in Oral radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Differentiation malignant from benign parotid tumors in children with diffusion-weighted MR imaging.Oral radiology · 2021Article
- Characterization of salivary gland tumours with diffusion tensor imaging.Dento maxillo facial radiology · 2018Article
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1 author.
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Abstract
objectiveThis study was performed to predict malignancy of submandibular gland tumors using the apparent diffusion coefficient (ADC).
methodsIn 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.
resultsThe mean ADC for submandibular gland malignancy (1.15 ± 0.09 × 10
conclusionThe ADC is a noninvasive imaging parameter that can be used for prediction of malignancy of submandibular gland tumors.
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