Renal stones on portal venous phase contrast-enhanced CT: Does intravenous contrast interfere with detection? - Abstract

PURPOSE: To determine the sensitivity of portal venous phase contrast-enhanced CT for the detection of renal stones.

METHODS: This retrospective study included 97 CT examinations of the abdomen without and with intravenous contrast, including 85 (87.6%) examinations with at least one renal stone on the "gold standard" noncontrast images, as scored by a single radiologist. Three other radiologists each independently reviewed only the contrast-enhanced images from all 97 examinations and recorded all renal stones. Reviewer sensitivity for stones was categorized by stone diameter. Reviewer sensitivity and specificity for stone disease were also calculated on a per-kidney basis.

RESULTS: The 97 cases included a total of 238 stones ≥1 mm, with a mean (±SD) of 1.2 ± 1.9 stones per kidney and a stone diameter of 3.5 ± 3.0 mm. Pooling data for the three reviewers, sensitivity for all stones was 81%; sensitivity for stones ≥2, ≥3, ≥4, and ≥5 mm was 88%, 95%, 99%, and 98%, respectively. Sensitivity for stone disease on a per-kidney basis was 94% when considering all stones; when considering only stones ≥2, ≥3, and ≥4 mm, sensitivity was 96%, 99%, and 100%, respectively. Specificity for stone disease on a per-kidney basis was 98% overall, 99% when considering only stones ≥2 mm, and 100% when considering only stones ≥3 mm.

CONCLUSION: Contrast-enhanced CT is highly sensitive for the detection of renal stones ≥3 mm in diameter and less sensitive for smaller stones. In cases where the clinical diagnosis is uncertain and performance of a CT examination is being contemplated, intravenous contrast utilization would allow assessment for stone disease while also optimizing evaluation for other conditions.

Written by:
Dym RJ, Duncan DR, Spektor M, Cohen HW, Scheinfeld MH.   Are you the author?
Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210th St, Bronx, NY, 10467, USA.  

Reference: Abdom Imaging. 2014 Feb 7. Epub ahead of print.
doi: 10.1007/s00261-014-0082-4


PubMed Abstract
PMID: 24504541

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