Literature DB >> 16365573

Characterization of normal ileocecal valve density on CT colonography.

Silaja Yitta1, Kalyan C Tatineny, Nicole A Cipriani, Abraham H Dachman.   

Abstract

The objective of this study was to evaluate normal ileocecal valve (ICV) attenuation and composition on CT colonography (CTC). Two hundred twelve patients who underwent CTC at the authors' institution were retrospectively identified. Two independent readers recorded three region-of-interest (ROI) measurements, which were used to determine mean ICV density. ICV attenuation measurements were compared with age and abdominal body fat using Pearson correlation. A subjective classification system was applied to characterize the relative fat and soft tissue density of the ICV. Mean ICV density was -26.3+/-14 HU (range -60.1 to 18.3 HU). There was no correlation between the fat content of the ICV and age (r=0.06) or body fat (r=-0.47). The majority of valves (83.5%) were classified as heterogeneously low density or heterogeneously high density, whereas a small fraction of valves (6.1%) were categorized as homogeneously low density. The results of this study suggest that ICVs have a varying range of densities, and this feature alone cannot be used to distinguish the ICV from a polyp or neoplastic lesion on CTC.

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Year:  2006        PMID: 16365573     DOI: 10.1097/01.rct.0000191687.43591.c4

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Diagnostic accuracy of translucency rendering to differentiate polyps from pseudopolyps at 3D endoluminal CT colonography: a feasibility study.

Authors:  A Guerrisi; D Marin; A Laghi; M Di Martino; F Iafrate; R Iannaccone; C Catalano; R Passariello
Journal:  Radiol Med       Date:  2010-02-19       Impact factor: 3.469

Review 2.  Imaging of the ileocaecal valve.

Authors:  A Jelbert; S Swinson; K Atkin; S Bhalerao; S Babu
Journal:  Tech Coloproctol       Date:  2008-06-09       Impact factor: 3.781

Review 3.  CT colonography with computer-aided detection: recognizing the causes of false-positive reader results.

Authors:  Igor Trilisky; Kristen Wroblewski; Michael W Vannier; John M Horne; Abraham H Dachman
Journal:  Radiographics       Date:  2014 Nov-Dec       Impact factor: 5.333

  3 in total

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