Decreased detection of hypovascular liver tumors with MDCT in obese patients: a phantom study.

Published

Journal Article

OBJECTIVE: The purpose of this article is to assess the impact of large patient size on the detection of hypovascular liver tumors with MDCT and the effect of a noise filter on image quality and lesion detection in obese patients. MATERIALS AND METHODS: A liver phantom with 45 hypovascular tumors (diameters of 5, 10, and 15 mm) was placed into two water containers mimicking intermediate and large patients. The containers were scanned with a 64-MDCT scanner. The CT dataset from the large phantom was postprocessed using a noise filter. The image noise was measured and the contrast-to-noise ratio (CNR) of the tumors was calculated. Tumor detection was independently performed by three radiologists in a blinded fashion. RESULTS: The application of the noise filter in the large phantom yielded a reduction of image noise by 42% (p < 0.0001). The CNR values of the tumors in the nonfiltered and filtered large phantom were lower than that in the intermediate phantom (p < 0.05). In the non-filtered and filtered large phantom, 25% and 19% fewer tumors, respectively, were detected on average compared with the intermediate phantom (p < 0.01). CONCLUSION: The risk of missing hypovascular liver tumors with CT is substantially increased in large patients. A noise filter improves image quality in obese patients.

Full Text

Duke Authors

Cited Authors

  • Schindera, ST; Torrente, JC; Ruder, TD; Hoppe, H; Marin, D; Nelson, RC; Szucs-Farkas, Z

Published Date

  • June 2011

Published In

Volume / Issue

  • 196 / 6

Start / End Page

  • W772 - W776

PubMed ID

  • 21606267

Pubmed Central ID

  • 21606267

Electronic International Standard Serial Number (EISSN)

  • 1546-3141

Digital Object Identifier (DOI)

  • 10.2214/AJR.10.5351

Language

  • eng

Conference Location

  • United States