Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Clin Hemorheol Microcirc. 2024;86(4):481-493. doi: 10.3233/CH-231999.
To explore the discriminatory diagnostic value of multimodal ultrasound(US) combined with blood cell analysis (BCA) for Granulomatous Lobular Mastitis (GLM) and Invasive Ductal Carcinoma (IDC) of the breast.
A total of 157 breast disease patients were collected and divided into two groups based on postoperative pathological results: the GLM group (57 cases with 57 lesions) and the IDC group (100 cases with 100 lesions). Differences in multimodal ultrasound features and the presence of BCA were compared between the two groups. The receiver operating characteristic (ROC) curve was used to calculate the optimal cutoff values, sensitivity, specificity, 95% confidence interval (CI), and the area under the curve (AUC) for patient age, lesion size, lesion resistive index (RI), and white blood cell (WBC) count in BCA. Sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy, and AUC were calculated for different diagnostic methods.
There were statistically significant differences (P < 0.05) observed between GLM and IDC patients in terms of age, breast pain, the factors in Conventional US (lesion size, RI, nipple delineation, solitary/multiple lesions, margin, liquefaction area, growth direction, microcalcifications, posterior echogenicity and abnormal axillary lymph nodes), the factors in CEUS (contrast agent enhancement intensity, enhancement pattern, enhancement range, and crab-like enhancement) and the factors in BCA (white blood cells, neutrophils, lymphocytes and monocytes). ROC curve analysis results showed that the optimal cutoff values for distinguishing GLM from IDC were 40.5 years for age, 7.15 cm for lesion size, 0.655 for lesion RI, and 10.525*109/L for white blood cells. The diagnostic accuracy of conventional US combined with CEUS (US-CEUS) was the highest (97.45%). The diagnostic performance AUCs for US-CEUS, CEUS, and US were 0.965, 0.921 and 0.832, respectively.
Multifactorial analysis of multimodal ultrasound features and BCA had high clinical application value in the differential diagnosis of GLM and IDC.
探讨多模态超声(US)联合血细胞分析(BCA)对肉芽肿性小叶乳腺炎(GLM)和乳腺浸润性导管癌(IDC)的鉴别诊断价值。
收集 157 例乳腺疾病患者,根据术后病理结果分为两组:GLM 组(57 例,57 个病灶)和 IDC 组(100 例,100 个病灶)。比较两组多模态超声特征和 BCA 差异。采用受试者工作特征(ROC)曲线计算患者年龄、病变大小、病变阻力指数(RI)、BCA 中白细胞(WBC)计数的最佳截断值、灵敏度、特异度、95%置信区间(CI)和曲线下面积(AUC)。计算不同诊断方法的灵敏度、特异度、阳性预测值、阴性预测值、诊断准确率和 AUC。
GLM 组和 IDC 组患者在年龄、乳房疼痛、常规 US 因素(病变大小、RI、乳头轮廓、单发/多发病变、边界、液化区、生长方向、微钙化、后回声增强和异常腋窝淋巴结)、CEUS 因素(对比剂增强强度、增强模式、增强范围和蟹样增强)和 BCA 因素(白细胞、中性粒细胞、淋巴细胞和单核细胞)方面存在统计学差异(P<0.05)。ROC 曲线分析结果显示,年龄、病变大小、病变 RI、白细胞鉴别 GLM 与 IDC 的最佳截断值分别为 40.5 岁、7.15cm、0.655 和 10.525*109/L。常规 US 联合 CEUS(US-CEUS)的诊断准确率最高(97.45%)。US-CEUS、CEUS 和 US 的诊断效能 AUC 分别为 0.965、0.921 和 0.832。
多模态超声特征和 BCA 的多因素分析对 GLM 和 IDC 的鉴别诊断具有较高的临床应用价值。