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Dataset Information

A computerized tool for the systematic visual quality assessment of infant multiple-breath washout measurements.


ABSTRACT:

Background

Multiple-breath washout (MBW) is a sensitive method for assessing lung volumes and ventilation inhomogeneity in infants, but remains prone to artefacts (e.g., sighs). There is a lack of tools for systematic retrospective analysis of existing datasets, and unlike N2-MBW in older children, there are few specific quality control (QC) criteria for artefacts in infant SF6-MBW.

Aim

We aimed to develop a computer-based tool for systematic evaluation of visual QC criteria of SF6-MBW measurements and to investigate interrater agreement and effects on MBW outcomes among three independent examiners.

Methods

We developed a software package for visualization of raw Spiroware (Eco Medics AG, Switzerland) and signal processed WBreath (ndd

SUBMITTER: Oestreich MA 

PROVIDER: S-EPMC11191423 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature