Department of Ultrasound, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
Department of Breast Surgery, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
Biomed Res Int. 2022 Aug 3;2022:3199884. doi: 10.1155/2022/3199884. eCollection 2022.
The incidence of cancer is increasing today, particularly lung and chest cancer. Employing novel methods to detect cancer in its earliest stages and discover painless, noninvasive treatments are urgently needed. The goal of the proposed study is to investigate the value of automated breast volume scanning (ABUS) in conjunction with contrast-enhanced ultrasonography (CEUS) in properly diagnosing breast cancer in its early stages and the effectiveness of neoadjuvant chemotherapy (NAC) in treating the disease. For the research study, information on 98 patients who had NAC and surgery in the breast surgery department of the Shaanxi Provincial Cancer Hospital has been gathered. All patients have received four cycles of NAC and underwent conventional ultrasound (HUSS), CEUS, ABUS, and pathological examination. At the same time, receiver operating characteristic (ROC) curve analysis, single factor, multiple linear regression, and other methods have also been used to analyze the diagnostic efficacy of breast cancer and NAC efficacy evaluation results. The study of this paper is totally based on the data collected from Shaanxi Provincial Cancer Hospital. The statistical and computational analyses are performed on the data collected for drawing inferences. When the findings are compared to the results of the pathological examination, HUSS has demonstrated a significant distinction between benign and malignant diagnoses with a statistical value of < 0.05.ABUS combined with CEUS has shown no considerable differences in correlation study. Except for negative likelihood ratio, the diagnostic performance indexes of CEUS+ ABUS are substantially higher than HHUS with < 0.05. ROC curve analysis is also performed which shows that CEUS and ABUS combination has higher precision in the analysis of breast cancer. ABUS pooled with CEUS shows great application value in the judgment of breast cancer as per the results obtained from the statistical analysis on data of 98 patients.
如今，癌症的发病率在不断上升，尤其是肺癌和胸部癌症。迫切需要采用新方法在癌症早期发现癌症，并发现无痛、非侵入性的治疗方法。拟议研究的目的是调查自动乳腺容积扫描（ABUS）与对比增强超声（CEUS）联合使用在早期正确诊断乳腺癌的价值，以及新辅助化疗（NAC）治疗该疾病的有效性。
在这项研究中，收集了陕西省肿瘤医院乳腺外科接受 NAC 和手术的 98 名患者的信息。所有患者均接受了四个周期的 NAC 治疗，并接受了常规超声（HUSS）、CEUS、ABUS 和病理检查。同时，还使用了接收者操作特征（ROC）曲线分析、单因素、多元线性回归等方法分析乳腺癌的诊断效果和 NAC 疗效评价结果。本文的研究完全基于从陕西省肿瘤医院收集的数据。对收集的数据进行统计和计算分析，以得出结论。当将研究结果与病理检查结果进行比较时，HUSS 在良性和恶性诊断之间表现出显著差异，统计值为<0.05。ABUS 联合 CEUS 相关性研究无显著差异。除了负似然比外，CEUS+ABUS 的诊断性能指标均显著高于 HHUS，差异具有统计学意义（<0.05）。ROC 曲线分析也表明，CEUS 和 ABUS 联合在分析乳腺癌方面具有更高的精度。
根据对 98 名患者数据的统计分析结果，ABUS 联合 CEUS 显示出在判断乳腺癌方面具有很大的应用价值。
