Hoang-Thi Trieu-Nghi, Chassagnon Guillaume, Hua-Huy Thong, Boussaud Veronique, Dinh-Xuan Anh-Tuan, Revel Marie-Pierre
AP-HP.Centre, Hôpital Cochin, Department of Radiology, Université de Paris, 75014 Paris, France.
Department of Diagnostic Imaging, Vinmec Central Park Hospital, Ho Chi Minh City 70000, Vietnam.
J Clin Med. 2021 Apr 10;10(8):1608. doi: 10.3390/jcm10081608.
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.
慢性肺移植功能障碍(CLAD)仍然是肺移植后发病和死亡的主要原因。该术语涵盖阻塞性和限制性表型,以及混合型和未明确表型。除肺功能测试外,影像学在识别CLAD表型中起主要作用,并且对于肺移植后的随访至关重要。定量成像可对CT检查进行独立于阅片者的精确评估。在这篇综述文章中,我们将讨论定量成像方法在评估计算机断层扫描(CT)图像上的气道和肺实质、早期识别CLAD以及预后评估方面的作用。我们还将讨论其局限性以及在早期预测、理解和识别CLAD方面采用新方法的必要性。