Department of Surgery, Royal College of Surgeons in Ireland (RCSI), University of Medicine and Health Sciences, Dublin, Ireland; Department of Surgery, Beaumont Hospital, Dublin, Ireland.
Department of Surgery, Royal College of Surgeons in Ireland (RCSI), University of Medicine and Health Sciences, Dublin, Ireland; Department of Surgery, Beaumont Hospital, Dublin, Ireland.
Breast. 2024 Aug;76:103749. doi: 10.1016/j.breast.2024.103749. Epub 2024 May 10.
There are a wide variety of intraoperative techniques available in breast surgery to achieve low rates for positive margins of excision. The objective of this systematic review was to determine the pooled diagnostic accuracy of intraoperative breast margin assessment techniques that have been evaluated in clinical practice.
This study was performed in accordance with PRISMA guidelines. A systematic search of the literature was conducted to identify studies assessing the diagnostic accuracy of intraoperative margin assessment techniques. Only clinical studies with raw diagnostic accuracy data as compared with final permanent section histopathology were included in the meta-analysis. A bivariate model for diagnostic meta-analysis was used to determine overall pooled sensitivity and specificity.
Sixty-one studies were eligible for inclusion in this systematic review and meta-analysis. Cytology demonstrated the best diagnostic accuracy, with pooled sensitivity of 0.92 (95 % CI 0.77-0.98) and a pooled specificity of 0.95 (95 % CI 0.90-0.97). The findings also indicate good diagnostic accuracy for optical spectroscopy, with a pooled sensitivity of 0.86 (95 % CI 0.76-0.93) and a pooled specificity of 0.92 (95 % CI 0.82-0.97).
Pooled data indicate that optical spectroscopy, cytology and frozen section have the greatest diagnostic accuracy of currently available intraoperative margin assessment techniques. However, long turnaround time for results and their resource intensive nature has prevented widespread adoption of these methods. The aim of emerging technologies is to compete with the diagnostic accuracy of these established techniques, while improving speed and usability.
在乳腺手术中,有多种术中技术可用于实现低切缘阳性率。本系统评价的目的是确定在临床实践中评估的术中乳腺切缘评估技术的汇总诊断准确性。
本研究按照 PRISMA 指南进行。系统搜索文献,以确定评估术中切缘评估技术诊断准确性的研究。只有将原始诊断准确性数据与最终永久切片组织病理学进行比较的临床研究才被纳入荟萃分析。使用双变量诊断荟萃分析模型来确定总体汇总敏感性和特异性。
61 项研究符合本系统综述和荟萃分析的纳入标准。细胞学显示出最佳的诊断准确性,汇总敏感性为 0.92(95%置信区间 0.77-0.98),汇总特异性为 0.95(95%置信区间 0.90-0.97)。研究结果还表明,光学光谱学具有良好的诊断准确性,汇总敏感性为 0.86(95%置信区间 0.76-0.93),汇总特异性为 0.92(95%置信区间 0.82-0.97)。
汇总数据表明,光学光谱学、细胞学和冷冻切片是目前可用的术中切缘评估技术中具有最大诊断准确性的技术。然而,结果的周转时间长且资源密集,这阻碍了这些方法的广泛采用。新兴技术的目的是在提高速度和易用性的同时,与这些已建立技术的诊断准确性相竞争。