PubMed Health⌕ Search

PubMed · 11116171

Colonography using multislice CT.

Abstract

Computed tomography (CT) represents the preferred imaging modality for imaging the large bowel when virtual endoscopic reconstructions are desired. Using the spiral acquisition technique, it has become possible to scan the entire abdomen within a single breathhold, however, slice thicknesses of 5 mm or more are necessary should the breathhold not last longer than 30-40 s. With the advent of multislice CT, contiguous 1-mm slices can be obtained through the entire abdomen while even shortening the breathhold to 25-30 s. The improved speed and spatial resolution of multislice CT results in remarkably sharp virtual reconstructions allowing detection of polyps with sizes less than 3 mm. The disadvantages must still be considered including a dataset consisting of up to 800 images representing a new challenge for postprocessing hard- and software.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Rogalla, N Meiri, J C Rückert, B Hamm. 2000. Colonography using multislice CT.. https://doi.org/10.1016/s0720-048x(00)00267-9

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

New feature subset selection procedures for classification of expression profiles.

BACKGROUND: Methods for extracting useful information from the datasets produced by microarray experiments are at present of much interest. Here we present new methods for finding gene sets that are well suited for distinguishing experiment classes, such as healthy versus diseased tissues. Our methods are based on evaluating genes in pairs and evaluating how well a pair in combination distinguishes two experiment classes. We tested the ability of our pair-based methods to select gene sets that generalize the differences between experiment classes and compared the performance relative to two standard methods. To assess the ability to generalize class differences, we studied how well the gene sets we select are suited for learning a classifier. RESULTS: We show that the gene sets selected by our methods outperform the standard methods, in some cases by a large margin, in terms of cross-validation prediction accuracy of the learned classifier. We show that on two public datasets, accurate diagnoses can be made using only 15-30 genes. Our results have implications for how to select marker genes and how many gene measurements are needed for diagnostic purposes. CONCLUSION: When looking for differential expression between experiment classes, it may not be sufficient to look at each gene in a separate universe. Evaluating combinations of genes reveals interesting information that will not be discovered otherwise. Our results show that class prediction can be improved by taking advantage of this extra information.

Colon↗

Acute gastric volvulus due to deficiency of the gastrocolic ligament in a newborn.

UNLABELLED: Gastric volvulus is rare in the neonatal period. Only three cases of gastric volvulus due to deficiency of gastrocolic ligament have been reported until now in the literature. We describe a neonatal case due to absence of the gastrocolic ligament. Stamm gastrostomy was performed for fixation and there has been no recurrence of his symptoms during a 13-month post-operative period. CONCLUSION: Stamm gastrostomy is a viable treatment of gastric volvulus due to lack of the gastrocolic ligament.

Colon↗