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"Horses for courses" computed tomography or predicted total lung capacity for size matching in lung transplantation.
McMenimen, James D; Gauthier, Jason M; Puri, Varun; Vazquez Guillamet, Rodrigo.
Afiliación
  • McMenimen JD; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Washington University, St. Louis, Missouri, USA.
  • Gauthier JM; Division of Cardiothoracic Surgery, Department of Surgery, Washington University, St. Louis, Missouri, USA.
  • Puri V; Division of Cardiothoracic Surgery, Department of Surgery, Washington University, St. Louis, Missouri, USA.
  • Vazquez Guillamet R; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Washington University, St. Louis, Missouri, USA. Electronic address: r.vazquezguillamet@wustl.edu.
Am J Transplant ; 24(6): 928-932, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38346500
ABSTRACT
Size-matching donors to recipients in lung transplantation continues to be a clinical challenge. Predicted total lung capacity equations, or more simply, donor and recipient heights, while widely used, are imprecise and may not be representative of the pool of donors and recipients. These inherent limitations may result in size discrepancies. The advent of easily accessible software and the widespread availability of computed tomography (CT) imaging in donor assessments have made it possible to directly measure lung volumes in donors and recipients. As a result, there is a growing interest in adopting personalized CT volumetry as an alternative. This article explores both methods and underscores the potential benefits and precision offered by CT.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Trasplante de Pulmón Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Am J Transplant Asunto de la revista: TRANSPLANTE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Trasplante de Pulmón Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Am J Transplant Asunto de la revista: TRANSPLANTE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos