title: Preoperative evaluation of living kidney donors using multirow detector computed tomography: comparison with digital subtraction angiography and intraoperative findings.
abstract: To assess the accuracy of multirow detector computed tomography (MDCT) for the evaluation of renal anatomy for preoperative donor assessment in living related kidney transplantation. MDCT-scans (4- and 16-slice-CT) of 51 consecutive living kidney donors (age, 51.6 +/- 9.7 years; range, 28-68 years) were analysed by three blinded observers and compared with digital subtraction angiography (DSA) and surgery. Contrast-enhanced MDCT was performed with 1 mm slice thickness reconstruction interval during arterial and venous phases. Supernumerary renal arteries, veins, early branching of vessels and abnormalities of the ureters were documented. The overall accuracy of computed tomography angiography (CTA) for detection and classification of surgically relevant arterial variants was 97% (99/102). The interpretation of 16-channel MDCT images was correct in all cases (accuracy, 100%), while the four-channel CTA had three incorrect results regarding the differentiation of early branching vessels from double renal arteries (accuracy, 93%). The overall accuracy of DSA was 91%. Renal vein abnormalities were correctly diagnosed with MDCT in 100% compared with 89% correct findings with DSA. There were three kidneys with incomplete ureter duplication, detected both with MDCT and DSA. MDCT demonstrated superior accuracy compared with non-selective DSA for the preoperative assessment of renal anatomy in living kidney donors; and for the distinction of supernumerary arteries versus early branching patterns, 16-channel CTA data were better than those of the four-channel system.
authors.affiliation: Department of Radiology, Charité Medical University Center, Campus Virchow Clinic, Augustenburger Platz 1, D-13353 Berlin, Germany. elh@charite.de
authors.forename: Enrique Lopez
authors.initials: EL
authors.lastname: Hänninen
authors.forename: Timm
authors.initials: T
authors.lastname: Denecke
authors.forename: Lars
authors.initials: L
authors.lastname: Stelter
authors.forename: Maciej
authors.initials: M
authors.lastname: Pech
authors.forename: Petr
authors.initials: P
authors.lastname: Podrabsky
authors.forename: Johann
authors.initials: J
authors.lastname: Pratschke
authors.forename: Jens
authors.initials: J
authors.lastname: Ricke
authors.forename: Ralf
authors.initials: R
authors.lastname: Schindler
authors.forename: Peter
authors.initials: P
authors.lastname: Neuhaus
authors.forename: Ronald
authors.initials: R
authors.lastname: Felix
authors.forename: Stefan G
authors.initials: SG
authors.lastname: Tullius
authors.forename: Stefen G
authors.initials: SG
authors.lastname: Tullius
mesh_terms: D000328:Adult; D000368:Aged; D000792:Angiography; D015901:Angiography, Digital Subtraction / Q000379:methods*; D003287:Contrast Media; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007668:Kidney / Q000473:pathology; D016030:Kidney Transplantation / Q000379:methods*; D019520:Living Donors; D008875:Middle Aged; D012077:Renal Artery / Q000473:pathology; D012082:Renal Veins / Q000473:pathology; D012680:Sensitivity and Specificity; D014019:Tissue Donors; D020858:Tissue and Organ Harvesting / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media