Department of Diagnostic Radiology, Faculty of Medicine, Mansoura University, 203 Elgomheryia Street, Mansoura, 13551, Egypt.
Oral Radiol. 2019 Jan;35(1):11-15. doi: 10.1007/s11282-017-0311-y. Epub 2017 Dec 29.
This study was performed to predict malignancy of submandibular gland tumors using the apparent diffusion coefficient (ADC).
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.
The mean ADC for submandibular gland malignancy (1.15 ± 0.09 × 10 mm/s) was significantly lower than that for benignancy (1.55 ± 0.25 × 10 mm/s, P = 0.001). An ADC of 1.26 × 10 mm/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%.
The ADC is a noninvasive imaging parameter that can be used for prediction of malignancy of submandibular gland tumors.
本研究旨在通过表观扩散系数（ADC）预测下颌下腺肿瘤的恶性程度。
回顾性分析了 31 例（男 19 例，女 12 例；年龄 16-71 岁）实性下颌下腺肿瘤患者。所有患者均行单次激发回波平面扩散加权磁共振成像扫描下颌下腺区域。重建下颌下腺 ADC 图，计算下颌下腺肿瘤的 ADC 值。采用自由hand 感兴趣区（ROI）包绕均匀肿瘤和异质性肿瘤的实性部分。
下颌下腺恶性肿瘤的平均 ADC 值（1.15±0.09×10 mm/s）明显低于良性肿瘤（1.55±0.25×10 mm/s，P=0.001）。ADC 值为 1.26×10 mm/s 时，预测下颌下腺肿瘤恶性程度的曲线下面积为 0.869，准确率为 84%，灵敏度为 88%，特异度为 81%。
ADC 是一种无创的影像学参数，可用于预测下颌下腺肿瘤的恶性程度。
