Impact of different respiratory monitoring techniques on respiration-dependent stroke-volume measurements assessed by real-time magnetic resonance imaging

Abstract

PurposeQuantitative blood flow measurements in thoracic vessels are dependent on the patient's respiration due to intrathoracic pressure changes. Several registration techniques for tracing the patient's breathing curve exist exploiting various physiological characteristics. In the presented study two registration techniques were investigated to estimate the time-shift between the associated respiration curves and the impact on respiration-dependent hemodynamic measures. Materials and methodsUsing flow-sensitive real-time magnetic resonance imaging (3.0T, temporal resolution=24–26ms) data were acquired during a 13s time-interval under normal physiological (no) and forced breathing (fo) in the ascending aorta (AAo) and inferior vena cava (IVC). Breathing curves were obtained by using (1) an abdominal placed respiratory belt (=standard, RB) and (2) by applying a self-developed edge-detection software (ED). Respiration curves were divided into four intervals (end-expiration, inspiration, end-inspiration and expiration) to generate respiration-dependent stroke volumes (SVs) and cardiac indices (CIs). Data were available from 12 healthy controls (16.2±8.8yrs) and 18 Fontan-patients (18.6±7.1yrs). ResultsRespiration curves acquired with RB differs from and are shifted compared to those obtained by ED (controls: average shift=207±168ms, Fontan-patients: average shift=106±235ms). This time-shift results in statistical significant differences in cardiac indices CIAAo,fo in controls (ΔCIAAo,fo: expiration: +0.16L/min/m2, p=0.018), in CIIVC,no in Fontan-patients (ΔCIIVC,no: end-expiration: +0.94L/min/m2, p=0.002 and end-inspiration: −1.04L/min/m2, p=0.017) and in CIIVC,fo in Fontan-patients (ΔCIIVC,fo: end-expiration: +1.31L/min/m2, p=0.009; inspiration: −2.26L/min/m2, p=0.008 and end-inspiration: −1.87L/min/m2, p=0.029). ConclusionsA time-shift between both applied respiratory tracking techniques was observed resulting in significant differences in respiration-dependent CIs, which could influence the clinical decision-making.