title: Helical CT angiography compared with arteriography in the detection of renal artery stenosis.
abstract: OBJECTIVE
  The aim of the study was to improve the accuracy and detection rate for renal vascular lesions on helical CT angiography with an improved acquisition protocol and postprocessing.
  
  
  METHODS
  Fifty hypertensive patients (man age, 53 years old) referred because of clinical suspicion on renal artery stenosis were prospectively studied with digital renal arteriography and helical CT angiography. A 20-sec helical scan (collimation, 3 mm; pitch, 1) was obtained after injection of contrast medium. Interpretation was base on transverse sections, shaded-surface-display and maximum-intensity-projection reconstructions, and two-dimensional multiplanar reconstruction cuts obtained from shaded-surface-display reconstructions.
  
  
  RESULTS
  Arteriography visualized 131 renal arteries (including 32 accessory arteries). Sixteen had significant (greater than 50% in diameter) stenosis. On helical CT angiography, 14 of these 16 stenoses were detected; two were missed (false-negatives), and two additional stenoses (false-positives) were reported. Sensitivity and specificity were 88% and 98%, respectively. Considering only main renal arteries, the sensitivity and the specificity of helical CT angiography were 100% and 98%, respectively. Helical CT angiography detected Conn's syndrome, which was responsible for hypertension, in two other patients.
  
  
  CONCLUSIONS
  The accuracy and detection rate for renal artery stenosis on helical CT angiography compared with arteriography is improved with the described protocol.
authors.affiliation: Department of Vascular Radiology, Hôpital Cardiologique, Centre Hospitalier Regional Universitaire de Lille, France.
authors.forename: J P
authors.initials: JP
authors.lastname: Beregi
authors.forename: M
authors.initials: M
authors.lastname: Elkohen
authors.forename: G
authors.initials: G
authors.lastname: Deklunder
authors.forename: D
authors.initials: D
authors.lastname: Artaud
authors.forename: J M
authors.initials: JM
authors.lastname: Coullet
authors.forename: L
authors.initials: L
authors.lastname: Wattinne
mesh_terms: D000328:Adult; D000368:Aged; D015901:Angiography, Digital Subtraction; D005260:Female; D006801:Humans; D006978:Hypertension, Renovascular / Q000000981:diagnostic imaging; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012077:Renal Artery / Q000000981:diagnostic imaging*; D012078:Renal Artery Obstruction / Q000000981:diagnostic imaging*; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods