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CT volumetry performs better than nuclear renography in predicting estimated renal function one year after living donation

2022-03Journal article Open access
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dc.contributor.authorAlmeida, Manuela
dc.contributor.authorPereira, Pedro R.
dc.contributor.authorRamos, Miguel
dc.contributor.authorNunes-Carneiro, Diogo
dc.contributor.authorMandaleno, Mariana
dc.contributor.authorSilva, Filipa
dc.contributor.authorPedroso, Sofia
dc.contributor.authorFrança, Manuela
dc.contributor.authorMartins, La Salete
dc.contributor.authorJ, Malheiro
dc.date.accessioned2024-07-04T09:49:10Z
dc.date.available2024-07-04T09:49:10Z
dc.date.issued2022-03
dc.description.abstractThe evaluation of split renal function (SRF) is a critical issue in living kidney donations and can be evaluated using nuclear renography (NR) or computerized tomography (CT), with unclear comparative advantages. We conducted this retrospective study in 193 donors to examine the correlation of SRF assessed by NR and CT volumetry and compared their ability to predict remaining donor renal function at 1 year, through multiple approaches. A weak correlation between imaging techniques for evaluating the percentage of the remaining kidney volume was found in the global cohort, with an R2 = 0.15. However, the Bland-Altman plot showed an acceptable agreement (95% of the difference between techniques falling within - 8.51 to 6.11%). The predicted and observed eGFR one year after donation were calculated using the CKD-EPI, and CG/BSA equations. CT volume showed a better correlation than NR for both formulas (adjusted R2 of 0.42. and 0.61 vs 0.37 and 0.61 for CKD-EPI and CG/ BSA equations, respectively). In non-nested modeling tests, CT volumetry was significantly superior to NR for both equations. CT volumetry performed better than NR in predicting the estimated renal function of living donors at 1-year, independently from the eGFR equation.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlmeida M, Pereira PR, Ramos M, et al. CT volumetry performs better than nuclear renography in predicting estimated renal function one year after living donation. Int Urol Nephrol. 2023;55(3):553-562. doi:10.1007/s11255-022-03441-9pt_PT
dc.identifier.doi10.1007/s11255-022-03441-9pt_PT
dc.identifier.issn0301-1623
dc.identifier.issn1573-2584
dc.identifier.urihttp://hdl.handle.net/10400.16/2994
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationUnit for Multidisciplinary Research in Biomedicine
dc.relationUnit for Multidisciplinary Research in Biomedicine
dc.relationLaboratory for Integrative and Translational Research in Population Health
dc.relation.publisherversionhttps://doi.org/10.1007/s11255-022-03441-9pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCT scan volumetrypt_PT
dc.subjectNuclear renographypt_PT
dc.subjectSplit renal functionpt_PT
dc.subjectSplit renal volumept_PT
dc.titleCT volumetry performs better than nuclear renography in predicting estimated renal function one year after living donationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleUnit for Multidisciplinary Research in Biomedicine
oaire.awardTitleUnit for Multidisciplinary Research in Biomedicine
oaire.awardTitleLaboratory for Integrative and Translational Research in Population Health
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00215%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00215%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0064%2F2020/PT
oaire.citation.conferencePlaceNetherlandspt_PT
oaire.citation.endPage562pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage553pt_PT
oaire.citation.titleInternational Urology and Nephrologypt_PT
oaire.citation.volume55pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNamealmeida
person.familyNameNunes-Carneiro
person.familyNamePedroso
person.familyNameFrança
person.familyNameMartins
person.familyNameMalheiro
person.givenNamemanuela
person.givenNameDiogo
person.givenNameSofia
person.givenNameManuela
person.givenNameLa Salete
person.givenNameJorge
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person.identifier.ciencia-idEA1B-D7C4-C8CE
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person.identifier.orcid0000-0002-0312-3685
person.identifier.orcid0000-0001-5910-2018
person.identifier.orcid0000-0002-8539-906X
person.identifier.orcid0000-0003-1068-8577
person.identifier.orcid0000-0002-6110-2102
person.identifier.orcid0000-0002-9625-5889
person.identifier.ridK-6320-2013
person.identifier.scopus-author-id24466466300
person.identifier.scopus-author-id56207848700
person.identifier.scopus-author-id26434404600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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