Segmental stenosis of the renal artery: pattern recognition of tardus and parvus abnormalities with duplex sonography
| Autor: | A T Stavros, Steve H. Parker, P R Meyers, Wayne F. Yakes, J J Schenck, B J Burke, A E Chantelois |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
medicine.medical_specialty
Hemodynamics Renal Artery Obstruction Renal Circulation Renal Artery medicine.artery medicine Humans Radiology Nuclear Medicine and imaging Prospective Studies Systole Renal artery Renal sinus Ultrasonography Kidney medicine.diagnostic_test business.industry Arterial stenosis Angiography medicine.disease Stenosis medicine.anatomical_structure Pattern Recognition Visual Radiology business |
| Zdroj: | Radiology. 184:487-492 |
| ISSN: | 1527-1315 0033-8419 |
| DOI: | 10.1148/radiology.184.2.1620853 |
| Popis: | 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 (greater than or equal to 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, a 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. |
| Databáze: | OpenAIRE |
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