Optimising Rapid On-Site Evaluation-Assisted Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration Of Mediastinal Lymph Nodes: The Real-Time Cytopathology Intervention Process

CYTOPATHOLOGY(2021)

引用 3|浏览0
暂无评分
摘要
Introduction Lymph node sampling by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the state of art procedure for staging the mediastinum and hilar regions in lung cancer patients. Our experience of implementing the real-time cytopathology intervention (RTCI) process for intraoperative EBUS-TBNAs is presented. This study is aimed to describe in detail the RTCI process for EBUS-TBNAs, and assess its utility and diagnostic yield before and after its implementation in parallel to conventional rapid on-site evaluation (c-ROSE).Methods A retrospective review of all EBUS-TBNAs between July 2016 and July 2017 at the University of Rochester Medical Center was performed. Final diagnoses, patient clinical data, and number of non-diagnostic samples (NDS) were reviewed. The numbers of NDS obtained from EBUS-TBNAs with no cytology assistance (NCA), with RTCI and with c-ROSE were analysed.Results Non-diagnostic lymph node samples were found in 20 out of 116 (17%), three out of 114 (2.6%) and 33 out of 286 (11.5%) cases with NCA, RTCI and c-ROSE, respectively. Application of statistical analysis revealed significant difference in the NDS between the groups of cases in the operating room with NCA and RTCI (P = .005). The different settings and variables between the cases performed using RTCI in the operating room and those assisted with c-ROSE in the bronchoscopy suite preclude legitimate comparison.Conclusion Our results indicate that the use of RTCI could yield a significantly low proportion of NDS when assisting EBUS-TBNA of mediastinal and hilar lymph node for lung cancer patients enhancing the diagnostic efficiency of the procedure.
更多
查看译文
关键词
EBUS&#8208, TBNA, lung cancer staging, mediastinal lymph node, pulmonary cytopathology, ROSE
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要