1999
DOI: 10.1378/chest.116.5.1325
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Neural Network Analysis of the Volumetric Capnogram to Detect Pulmonary Embolism

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Cited by 19 publications
(16 citation statements)
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“…Earlier in the 1960s and 1970s, authors focused on the potential diagnostic strength of the difference between P a CO 2 and expired end-tidal CO 2 (EtCO 2 ), expressing alveolar deadspace from well-ventilated but unperfused alveoli, but pitfalls and sources of errors caused this test to be abandoned [10][11][12][13][14]. The interest in CO 2 re-emerged in the late 1990s, when authors studied the combination of D-dimer measurement and volumetric capnography (VCap) for the exclusion of PE [15][16][17][18][19]. VCap, which displays the plot of the expired CO 2 concentration against the expired volume, has theoretical advantages over time-based capnography in measuring deadspace lung volumes and distinguishing obstructive lung diseases from PE [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Earlier in the 1960s and 1970s, authors focused on the potential diagnostic strength of the difference between P a CO 2 and expired end-tidal CO 2 (EtCO 2 ), expressing alveolar deadspace from well-ventilated but unperfused alveoli, but pitfalls and sources of errors caused this test to be abandoned [10][11][12][13][14]. The interest in CO 2 re-emerged in the late 1990s, when authors studied the combination of D-dimer measurement and volumetric capnography (VCap) for the exclusion of PE [15][16][17][18][19]. VCap, which displays the plot of the expired CO 2 concentration against the expired volume, has theoretical advantages over time-based capnography in measuring deadspace lung volumes and distinguishing obstructive lung diseases from PE [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…We did not evaluate the slope of capnographic phase 3, which may contain useful information regarding the presence of airway restriction versus blood flow obstruction. Likewise, we did not evaluate variables that require simultaneous measurement of arterial and capnographic partial pressures of carbon dioxide, such as the alveolar dead space volume and the late dead space fraction, that have shown accuracy at predicting pulmonary emboli [21,29]. Paradoxically, this also shows the strength of our GP.…”
Section: Discussionmentioning
confidence: 99%
“…Few studies have used breath-based computer learning methods for predicting pulmonary embolism. Patel et al used a neural network analysis of the volumetric capnogram and found 100% sensitivity and 48% specificity with their model [21]. Neural networks and GP are similar in that they both use datasets to train the computer models to predict outcome.…”
Section: Discussionmentioning
confidence: 99%
“…ANNs have been applied during mechanical ventilation for breathing-pattern recognition during spontaneous breathing and PSV (26); in analysis of pressure and flow waveforms to differentiate normal from injured lungs (27); to determine ventilator settings for neonates (28); to identify respiratory abnormalities by using a pressure monitor to classify breathing patterns as effective or not and to predict changes in arterial oxygen saturation (29); to detect pulmonary embolism (30); and for assessing respiratory system mechanics during ventilatory support (31,32). We contend that another use for computer-based ANNs may be to provide the analytical basis for assessing POB.…”
Section: Discussionmentioning
confidence: 99%