2018
DOI: 10.1002/mrm.27234
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Effect of T1 relaxation on ventilation mapping using hyperpolarized 129Xe multiple breath wash‐out imaging

Abstract: Analysis of hyperpolarized Xe MBWO imaging using a model incorporating T (n) corrects for an overestimating bias in the mapping of fractional ventilation in mechanically ventilated rats introduced by assuming a fixed T .

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Cited by 3 publications
(15 citation statements)
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“…Figure 4 shows a Bland-Altman analysis of the fractional ventilation results calculated using the 2 T 1 modeling methods. The results in Figure 4A agree with predictions described by Morgado et al, 19 in which the relative bias is In the unpaired t-test, P < .05 was considered to be significant.…”
Section: Resultssupporting
confidence: 89%
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“…Figure 4 shows a Bland-Altman analysis of the fractional ventilation results calculated using the 2 T 1 modeling methods. The results in Figure 4A agree with predictions described by Morgado et al, 19 in which the relative bias is In the unpaired t-test, P < .05 was considered to be significant.…”
Section: Resultssupporting
confidence: 89%
“…This study measured fractional ventilation in pediatric CF participants with preserved lung function using a variable T 1 model and a constant T 1 model . As expected, assuming a constant T 1 results in overestimated r values, and the mean relative bias of 18% is in good agreement with a previous preclinical study . This bias may obscure regions of the lung that are underventilated or contain air trapping.…”
Section: Discussionmentioning
confidence: 99%
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