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Semiautomated CT-Based Quantification of Donor Kidney Volume Applied to a Predictive Model of Outcomes in Renal Transplantation.
Juluru, Krishna; Rotman, Jessica A; Masi, Paul; Spandorfer, Robert; Ceraolo, Carl A; Giambrone, Ashley E; Serur, David; Hartono, Choli.
Affiliation
  • Juluru K; 1 Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY 10065.
AJR Am J Roentgenol ; 204(5): W566-72, 2015 May.
Article in En | MEDLINE | ID: mdl-25905963

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Kidney Transplantation / Living Donors / Kidney Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: AJR Am J Roentgenol Year: 2015 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Kidney Transplantation / Living Donors / Kidney Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: AJR Am J Roentgenol Year: 2015 Document type: Article Country of publication: United States