Ohshika Shusa, Saruga Tatsuro, Ogawa Tetsuya, Ono Hiroya, Ishibashi Yasuyuki
Department of Orthopaedic Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036-8562, Japan.
Oncol Lett. 2021 Apr;21(4):281. doi: 10.3892/ol.2021.12542. Epub 2021 Feb 10.
The initial diagnostic distinction between benign and malignant soft tissue tumors is critical for decisions regarding the appropriate course of treatment. The current study aimed to evaluate the vascularity and elasticity of soft tissue tumors by superb microvascular imaging and shear wave elastography using ultrasonography (US), to determine their usefulness in distinguishing malignant soft tissue tumors, and to further establish the diagnostic accuracy and usefulness of a scoring system (SS) based on these evaluations. The present study used 167 lesions of soft tissue tumors examined by US prior to biopsy, surgery and pathological tissue diagnosis. The vascularity index (VI) and the maximal shear velocity (MSV), as indices of vascularity and elasticity respectively, were evaluated using US. The tumor size and depth were also evaluated via magnetic resonance imaging (MRI). Based on the odds ratio of these parameters determined by multivariate logistic regression analysis, an original SS was established to identify the malignancy of soft tissue tumors. VI and MSV exhibited significantly high values for malignant tumors. Tumor size was also significantly larger for malignant than benign tumors. The areas under the curves (AUCs) of the receiver operating characteristic analysis for VI, MSV and tumor size were 0.75, 0.84 and 0.69, respectively, indicating that these methods were effective for the diagnosis of malignancy. An original SS consisting of VI, MSV and tumor size, excluding tumor depth, was established, and revealed an AUC value of 0.90, with 93.6% sensitivity and 79.2% specificity for malignancy distinction. US evaluation of vascularity and elasticity was an effective technique to distinguish malignant soft tissue tumors, and the current SS based on US evaluations including tumor size via MRI demonstrated a high diagnostic accuracy for malignant soft tissue tumors.
良性与恶性软组织肿瘤的初步诊断区分对于决定合适的治疗方案至关重要。本研究旨在通过超声(US)的超微血管成像和剪切波弹性成像评估软组织肿瘤的血管情况和弹性,确定其在鉴别恶性软组织肿瘤中的作用,并基于这些评估进一步建立评分系统(SS)的诊断准确性和实用性。本研究使用了167例在活检、手术及病理组织诊断前经超声检查的软组织肿瘤病灶。分别使用超声评估作为血管情况和弹性指标的血管指数(VI)和最大剪切速度(MSV)。还通过磁共振成像(MRI)评估肿瘤大小和深度。基于多因素逻辑回归分析确定的这些参数的比值比,建立了一个原始SS来识别软组织肿瘤的恶性程度。VI和MSV在恶性肿瘤中呈现出显著的高值。恶性肿瘤的大小也明显大于良性肿瘤。VI、MSV和肿瘤大小的受试者操作特征分析曲线下面积(AUC)分别为0.75、0.84和0.69,表明这些方法对恶性肿瘤的诊断有效。建立了一个由VI、MSV和肿瘤大小组成的原始SS(不包括肿瘤深度),其AUC值为0.90,在区分恶性肿瘤方面的敏感性为93.6%,特异性为79.2%。超声对血管情况和弹性的评估是鉴别恶性软组织肿瘤的有效技术,并且基于超声评估(包括通过MRI评估肿瘤大小)的当前SS对恶性软组织肿瘤具有较高的诊断准确性。