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Chronic Lung Allograft Dysfunction Post Lung Transplantation: A Review of Computed Tomography Quantitative Methods for Detection and Follow-Up.
Hoang-Thi, Trieu-Nghi; Chassagnon, Guillaume; Hua-Huy, Thong; Boussaud, Veronique; Dinh-Xuan, Anh-Tuan; Revel, Marie-Pierre.
Afiliação
  • Hoang-Thi TN; AP-HP.Centre, Hôpital Cochin, Department of Radiology, Université de Paris, 75014 Paris, France.
  • Chassagnon G; Department of Diagnostic Imaging, Vinmec Central Park Hospital, Ho Chi Minh City 70000, Vietnam.
  • Hua-Huy T; AP-HP.Centre, Hôpital Cochin, Department of Respiratory Physiology, Université de Paris, 75014 Paris, France.
  • Boussaud V; AP-HP.Centre, Hôpital Cochin, Department of Radiology, Université de Paris, 75014 Paris, France.
  • Dinh-Xuan AT; AP-HP.Centre, Hôpital Cochin, Department of Respiratory Physiology, Université de Paris, 75014 Paris, France.
  • Revel MP; AP-HP.Centre, Hôpital Cochin, Department of Pneumology, Université de Paris, 75014 Paris, France.
J Clin Med ; 10(8)2021 Apr 10.
Article em En | MEDLINE | ID: mdl-33920108
ABSTRACT
Chronic lung allograft dysfunction (CLAD) remains the leading cause of morbidity and mortality after lung transplantation. The term encompasses both obstructive and restrictive phenotypes, as well as mixed and undefined phenotypes. Imaging, in addition to pulmonary function tests, plays a major role in identifying the CLAD phenotype and is essential for follow-up after lung transplantation. Quantitative imaging allows for the performing of reader-independent precise evaluation of CT examinations. In this review article, we will discuss the role of quantitative imaging methods for evaluating the airways and the lung parenchyma on computed tomography (CT) images, for an early identification of CLAD and for prognostic estimation. We will also discuss their limits and the need for novel approaches to predict, understand, and identify CLAD in its early stages.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França
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