Department of Stomatology, First Affiliated Hospital of Shihezi University School of Medicine, China.
Department of Ultrasound, First Affiliated Hospital of Shihezi University School of Medicine, China.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2022 Oct;134(4):484-491. doi: 10.1016/j.oooo.2022.05.012. Epub 2022 May 31.
The objective of this study was to evaluate the value of tumor morphology, long-to-short diameter ratio (L/S), and ultrasound gray-scale ratio (UGSR) in the differential diagnosis of 3 parotid neoplasms.
Preoperative ultrasound images of 17 patients with a malignant tumor (MT), 48 patients with pleomorphic adenoma (PA), and 39 patients with adenolymphoma (AL) were analyzed for imaging features and gray-scale histograms. Tumor morphology, L/S, and UGSR of MT, PA, and AL were compared. Receiver operating characteristic analysis of area under the curve (AUC), sensitivity, and specificity were used to measure the differential diagnostic efficacy of L/S, UGSR, and both combined with tumor morphology.
Morphologic features, L/S, and UGSR differed significantly in various pairwise comparisons of the 3 tumor types. Acceptable discrimination was detected between MT and AL with UGSR alone (AUC = 0.771) and between PA and AL with L/S and UGSR combined (AUC = 0.741). The combination of tumor boundary with UGSR yielded excellent discrimination between MT and PA (AUC = 0.853) and between MT and AL (AUC = 0.885), with sensitivity and specificity values greater than 0.800.
These ultrasound parameters, alone or in combination, can provide a method for accurate presurgical differential diagnosis of parotid tumors.
本研究旨在评估肿瘤形态、长径与短径比（L/S）及超声灰阶比（UGSR）在鉴别诊断 3 种腮腺肿瘤中的价值。
对 17 例恶性肿瘤（MT）、48 例多形性腺瘤（PA）和 39 例腺淋巴瘤（AL）患者的术前超声图像进行分析，以评估其影像学特征和灰阶直方图。比较 MT、PA 和 AL 的肿瘤形态、L/S 和 UGSR。采用曲线下面积（AUC）、灵敏度和特异性的受试者工作特征分析来衡量 L/S、UGSR 及两者联合肿瘤形态对鉴别诊断的效能。
在 3 种肿瘤类型的两两比较中，形态特征、L/S 和 UGSR 差异均有统计学意义。仅使用 UGSR 可区分 MT 和 AL（AUC=0.771），仅使用 L/S 和 UGSR 联合可区分 PA 和 AL（AUC=0.741）。肿瘤边界与 UGSR 联合使用可很好地区分 MT 和 PA（AUC=0.853）和 MT 和 AL（AUC=0.885），灵敏度和特异性均大于 0.800。
这些超声参数单独或联合使用可提供一种准确的术前腮腺肿瘤鉴别诊断方法。
