The effect of primary graft dysfunction after lung transplantation on parenchymal remodeling detected by quantitative computed tomography
Articolo
Data di Pubblicazione:
2019
Citazione:
The effect of primary graft dysfunction after lung transplantation on parenchymal remodeling detected by quantitative computed tomography / C. Salito, A. Aliverti, D. Tosi, F. Pennati, R. Carrinola, L. Rosso, P. Tarsia, L.C. Morlacchi, M. Nosotti, A. Palleschi. - In: JOURNAL OF THORACIC DISEASE. - ISSN 2072-1439. - 11:4(2019 Apr 01), pp. 1213-1222.
Abstract:
Background: Regional analysis by computed tomography (CT) is an attractive technique to interpret lung patterns after transplantation (LTx). We evaluated the application of CT functional mask derived parameters to determine whether development of primary graft dysfunction (PGD) is associated with short and/or long-term postoperative evidences of pulmonary function alterations. Methods: A total of 38 patients who underwent bilateral LTx were evaluated at 24, 48 and 72 hours after the end of surgery to establish PGD occurrence and grading. CT scans at 3 and 12 months after LTx were analyzed to measure specific gas volume (SV g ) changes normalized on expiratory SVgEXP of the whole lung (ΔSV g /SV gEXP ) and to obtain functional masks of density variation, namely maps of low ventilation (LV), consolidation (C), air trapping (AT) and healthy parenchyma (H). Results: Our main result was the evidence of a marked decrease in ΔSV g /SV gEXP in all subjects, irrespectively on PGD, at each time point after LTx, indicating a high degree of ventilation defects versus healthy. High percentages of LV were found in all subjects while percentages of AT and C were negligible. Conclusions: We demonstrate that quantification of ventilation defects by CT functional mask offers insights into the correlation between PGD and pulmonary function after LTx at short and mid-term.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Lung transplantation; Primary graft dysfunction (PGD); Quantitative computed tomography (quantitative CT)
Elenco autori:
C. Salito, A. Aliverti, D. Tosi, F. Pennati, R. Carrinola, L. Rosso, P. Tarsia, L.C. Morlacchi, M. Nosotti, A. Palleschi
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