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Characterization and correction of pressure drift in the ManoScan ™ high‐resolution manometry system: In vitro and in vivo
Author(s) -
Lamvik K.,
Guiu Hernandez E.,
Jones R.,
Huckabee M.L.
Publication year - 2016
Publication title -
neurogastroenterology and motility
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.489
H-Index - 105
eISSN - 1365-2982
pISSN - 1350-1925
DOI - 10.1111/nmo.12770
Subject(s) - in vivo , shock (circulatory) , nuclear medicine , biomedical engineering , medicine , chemistry , biology , microbiology and biotechnology
Background A substantial pressure drift in high‐resolution manometry ( HRM ) has been reported; however, fundamental questions remain regarding the origin and management of this drift. The aim of this study was to provide critical in‐depth analyses of ManoScan ™ HRM drift in vitro and in vivo . Methods A total of sixteen 15‐min studies and twelve 5‐h studies were performed in a water bath at 37 °C at 4.0 cm depth (2.9 mmHg) with ESO and ESO Z catheters. Six 5‐h in vitro studies were performed similarly at a depth of 9.0 cm (6.6 mmHg). Eight 15‐min studies and nine 8‐h in vivo studies were performed with healthy participants. Two correction methods – thermal compensation ( TC ) and interpolated thermal compensation ( ITC ) – were tested. Key Results Overall pressure drift varied both between studies ( p < 0.01) and within sensors ( p < 0.01). Drift resulted from thermal shock, an initial pressure change at intubation, and baseline drift, a linear drift over time ( R 2 > 0.96). Contrary to previous reports, there was no correlation between drift and average ( r = −0.02) or maximum pressure exposure ( r = −0.05). Following data correction, ITC had the lowest median error but persisted with a maximum error of 2.5 mmHg ( IQR = 3.0). Conclusions & Inferences The substantial drift in the ManoScan ™ HRM system is highly variable and not corrected via the standard operating instructions. ITC has superior performance but requires communication with the manufacturer to enable this option. This has a substantial impact on clinical diagnosis, utility of existing normative data, and future research of HRM .