Department of Radiology, Bartın State Hospital, Bartın, Turkey.
Department of Radiology, Ankara City Hospital, Ankara, Turkey.
Turk J Med Sci. 2021 Dec 13;51(6):2959-2967. doi: 10.3906/sag-2101-166.
BACKGROUND/AIM: To evaluate benign and malignant cutaneous-subcutaneous lesions using real-time strain elastography (RTSE) and to compare the findings with histopathologic results.
Over a period of 10 months, 72 patients (38 with benign and 34 with malignant cutaneous and subcutaneous lesions) were prospectively included in this study. Elasticity patterns and strain ratios were examined for each lesion. Lesions were evaluated in 4 groups as yellow-red (soft; pattern-1), green-yellow (moderate; pattern-2), blue-green (hard; pattern-3) and blue (hardest; pattern-4). The stiffness of the lesions was displayed with strain ratios by comparing of a nearby reference tissue. The recorded images were compared with histopathologic findings.
On sonoelastograms, considering patterns 1-2 as benign and patterns 3-4 as malignant, the sensitivity, specificity, and positive and negative predictive values for the differentiation of malignant from benign lesions were 100%, 68.5%, 74%, and 100%, respectively. Considering a cut-off value of the strain ratio as > 3.05, the sensitivity, specificity, and positive and negative predictive values were 91%, 89%, 88%, and 92%, respectively. The area under the curve (AUC: 0.972) showed the excellent ability of strain elastography to differentiate benign and malignant lesions.
RTSE is an important imaging tool to differentiate benign and malignant superficial soft tissue lesions. Our results suggest that RTSE can be used to predict malignancy since malignant lesions are more confidentially diagnosed than benign superficial soft tissue lesions on elastograms.
背景/目的:使用实时剪切波弹性成像(RTSE)评估良性和恶性皮肤-皮下病变,并将结果与组织病理学结果进行比较。
在 10 个月的时间内,前瞻性纳入了 72 名患者(38 名良性和 34 名恶性皮肤和皮下病变)。对每个病变进行弹性模式和应变比检查。将病变分为 4 组:黄-红色(软;模式 1)、绿-黄色(中度;模式 2)、蓝-绿色(硬;模式 3)和蓝色(最硬;模式 4)。通过比较附近的参考组织,用应变比显示病变的硬度。将记录的图像与组织病理学发现进行比较。
在声弹性图像上,将模式 1-2 视为良性,模式 3-4 视为恶性,对良恶性病变的鉴别诊断,其敏感性、特异性、阳性和阴性预测值分别为 100%、68.5%、74%和 100%。将应变比的截断值设定为>3.05 时,其敏感性、特异性、阳性和阴性预测值分别为 91%、89%、88%和 92%。曲线下面积(AUC:0.972)显示了应变弹性成像区分良恶性病变的优异能力。
RTSE 是一种重要的成像工具,可用于区分良性和恶性浅表软组织病变。我们的结果表明,RTSE 可用于预测恶性病变,因为在弹性图像上,恶性病变比良性浅表软组织病变更具诊断信心。