Validation of Functional Lumen Imaging Probe Panometry Esophageal Motility Classification Version 2.0: A Study of 805 Patients

功能性管腔成像探头全景食管动力分级2.0版验证:一项纳入805例患者的研究

阅读:1

Abstract

BACKGROUND: Functional lumen imaging probe (FLIP) panometry assesses esophageal motility during sedated endoscopy. Recently, the FLIP panometry motility classification was refined (v2.0) in the Dallas Consensus. This study aimed to characterize esophageal motility using the FLIP v2.0 classification scheme and compare its classifications with those of FLIP v1.0 and high-resolution manometry (HRM) diagnoses on the basis of Chicago Classification v4.0 (CCv4.0). METHODS: 805 adult patients who completed both FLIP and HRM at two tertiary esophageal centers were included; 704 with conclusive CCv4.0 diagnoses comprised the primary analysis, and 101 with inconclusive CCv4.0 diagnoses were also described. Esophagogastric junction (EGJ) opening and contractile response (CR) patterns were evaluated using 16-cm FLIP during sedated endoscopy, with motility classifications defined by FLIP v1.0 and v2.0 criteria. HRM was classified per CCv4.0. RESULTS: In the primary analysis, among the 137 (19%) patients with normal motility on FLIP panometry, 93% had normal motility or ineffective esophageal motility (IEM) on HRM. Normal motility on FLIP panometry had a 99% negative predictive value for disorders of EGJ outflow. Among the 163 (23%) patients with non-spastic obstruction (defined by reduced EGJ opening and absent/diminished CR) on FLIP panometry, 91% had a conclusive disorder of EGJ outflow on HRM. Among the 37 patients with type III achalasia on HRM, 16 (43%) were classified as spastic obstruction on FLIP panometry. CONCLUSIONS: FLIP panometry v2.0 categorized esophageal motility in a manner that frequently paralleled the HRM/CCv4.0 diagnoses. FLIP panometry offers a well-tolerated approach that complements, or may be an alternative to, HRM for diagnosing esophageal motility disorders.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。