Segmental stenosis of the renal artery: Pattern recognition of tardus and parvus abnormalities with duplex sonography

A. T. Stavros, S. H. Parker, W. F. Yakes, A. E. Chantelois, B. J. Burke, P. R. Meyers, J. J. Schenck

Research output: Contribution to journalArticlepeer-review

216 Scopus citations


Segmental renal artery branches within the renal sinus were prospectively evaluated with color Doppler imaging and pulsed-Doppler spectral analysis in 56 patients before angiography. Waveforms were evaluated for the tardus and parvus abnormalities of prolonged acceleration time, diminished acceleration index, and loss of the normal early systolic compliance peak/reflective-wave complex (ESP). Findings obtained with these parameters were compared with the subsequent findings on angiograms to ascertain their efficacy in detection of hemodynamically significant (≥60%) renal arterial stenosis (RAS), which was present in 32 kidneys in 26 patients. Simple pattern-recognition analysis of ESP proved to be the best of the three parameters. Loss of ESP enabled identification of RAS with 95% sensitivity, 97% specificity, a 92% positive predictive value, a 98% negative predictive value, and 96% overall accuracy. On the basis of the high technical success rate, high sensitivity and specificity, and short examination time, waveform analysis for detection of tardus-parvus abnormalities, especially loss of ESP, of the segmental artery is recommended as an alternative to direct examination of the main renal arteries for evaluation of RAS.

Original languageEnglish (US)
Pages (from-to)487-492
Number of pages6
Issue number2
StatePublished - Jan 1 1992
Externally publishedYes


  • Hypertension, renovascular
  • Renal arteries, stenosis or obstruction
  • Renal arteries, US
  • Ultrasound (US), Doppler studies

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Segmental stenosis of the renal artery: Pattern recognition of tardus and parvus abnormalities with duplex sonography'. Together they form a unique fingerprint.

Cite this