title: Computed tomography measurement of lung volume in preoperative assessment for living donor lung transplantation: volume calculation using 3D surface rendering in the determination of size compatibility.
abstract: The objective of this study was to describe the use of CT volume quantification assessment of candidates for LLDLT. Six pediatric candidates for LDLLT and their donors were investigated with helical chest CT, as part of the preoperative assessment. The CT images were analyzed as per routine and additional post-processing with CT volume quantification (CT densitovolumetry) was performed to assess volume matching between the lower lobes of the donors and respective lungs of the receptors. CT images were segmented by density and region of interest, using post-processing software. Size matching was also assessed using the FVC formula. Compatible volumes were found in three cases. The other three cases were considered incompatible. All three recipients with compatible sizes survived the procedure and are alive and well. One patient with incompatible size was submitted to the procedure and died because of complications attributed to the incompatible volumes. One patient with incompatible size has subsequently grown and new measurements are to be taken to check the current volumes. Different donors are being sought for the remaining patient whose lung volumes were considered too big for the prospective transplant donor lobes. Under FVC formula criteria, all cases were considered compatible. CT volume quantification is an easy to perform, non-invasive technique that uses CT images for the preassessment of candidates for LDLLT, to compare the volume of the lower lobes from the donors with volume of each lung in the prospective recipients. Size matching based on CT densitovolumetry and FVC may differ.
authors.affiliation: Post graduation Program in Respiratory Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
authors.forename: Jose J P
authors.initials: JJ
authors.lastname: Camargo
authors.forename: Klaus L
authors.initials: KL
authors.lastname: Irion
authors.forename: Edson
authors.initials: E
authors.lastname: Marchiori
authors.forename: Bruno
authors.initials: B
authors.lastname: Hochhegger
authors.forename: Nelson S
authors.initials: NS
authors.lastname: Porto
authors.forename: Beatriz G
authors.initials: BG
authors.lastname: Moraes
authors.forename: Gisela
authors.initials: G
authors.lastname: Meyer
authors.forename: Marlova
authors.initials: M
authors.lastname: Caramori
authors.forename: John A
authors.initials: JA
authors.lastname: Holemans
mesh_terms: D000293:Adolescent; D002648:Child; D002908:Chronic Disease; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D019520:Living Donors; D008168:Lung / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D008171:Lung Diseases / Q000601:surgery*; D016040:Lung Transplantation; D009929:Organ Size; D011300:Preoperative Care; D036542:Tomography, Spiral Computed