title: Contrast-bolus MR angiography of the transplanted kidney with a low-field (0.5-T) scanner: diagnostic accuracy, sensitivity and specificity of images and reconstructions in the evaluation of vascular complications.
abstract: OBJECTIVE
  This study was performed to assess the feasibility, interobserver variability, sensitivity, specificity and diagnostic accuracy of raw data and postprocessed images from a low-field (0.5-T) magnetic resonance (MR) unit in evaluating vascular complications of kidney grafts.
  
  
  METHODS
  We enrolled 49 patients undergoing MR angiography (MRA) for a clinical suspicion of renal artery stenosis. The raw data, maximum intensity projections (MIP) and multiplanar reconstruction (MPR) image sets were evaluated independently. We calculated the number and degree of stenosis, and sensitivity, specificity and accuracy for MIP, MPR and raw data image sets, together with interobserver variability.
  
  
  RESULTS
  Interobserver agreement was substantial. There were no differences among the MIP and MPR algorithms and raw data images for the detection of stenosis. Raw data images were more accurate in quantifying the severity of stenosis, with higher sensitivity (75% vs. 62.5%), equal specificity and higher diagnostic accuracy (75% vs. 71.43%).
  
  
  CONCLUSIONS
  Contrast-enhanced MRA, even with a low-field (0.5-T) unit, is a feasible, sensitive and accurate technique for the study of the renal arteries of the transplanted kidney.
authors.affiliation: SCDU Radiologia, Sezione di Risonanza Magnetica, AO Maggiore della Carità, Università del Piemonte Orientale, C.so Mazzini 18, I-28100, Novara, Italy. astecco@sirm.org
authors.forename: A
authors.initials: A
authors.lastname: Stecco
authors.forename: P
authors.initials: P
authors.lastname: Oronzo
authors.forename: F
authors.initials: F
authors.lastname: Armienti
authors.forename: C
authors.initials: C
authors.lastname: Borraccino
authors.forename: R
authors.initials: R
authors.lastname: Fossaceca
authors.forename: L
authors.initials: L
authors.lastname: Canalis
authors.forename: A
authors.initials: A
authors.lastname: Carriero
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D015901:Angiography, Digital Subtraction; D003627:Data Interpretation, Statistical; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016030:Kidney Transplantation / Q000009:adverse effects* / Q000000981:diagnostic imaging; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D012078:Renal Artery Obstruction / Q000175:diagnosis* / Q000000981:diagnostic imaging; D012680:Sensitivity and Specificity; D018615:Ultrasonography, Doppler, Color