Summary
Background: CT colonography was found to be sensitive and specific for detection of colonic polyps and colorectal cancer (CRC). Depending
on the software used, CT colonography requires a certain amount of operator interaction, which limits it’s widespread usage.
The goal of this papers is to present two novel automated techniques for displaying CT colonography: virtual dissection and
automated colonic polyp detection.
Methods: Virtual dissection refers to a technique where the entire colon is virtually stretched and flattened thus simulating the
view on the pathologist’s table.
Colonic folds show a ‘global outward bulging of the contour’, whereas colonic polyps exhibit the inverse (‘local inward bulging’).
This feature is used to map areas of ‘local inward bulging’ with colours on 3D reconstructions. A cadaveric phantom with 13
artificially inserted polyps was used for validation of both techniques.
Results: On virtual dissection all 13 inserted polyps could be identified. They appeared either as bumps or as local broadening of
colonic folds. In addition, the automated colonic polyp detection algorithm was able to tag all polyps. Only 10 min of operator
interaction were necessary for both techniques.
Conclusions: Virtual dissection overcomes the shortcomings of CT colonography, and automated colonic polyp detection establishes a roadmap
of the polyps.
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Objective: In this study, we first performed a meta-analysis to assess the role of single-nucleotide polymorphism (SNP) within tumor necrosis factor alpha (TNF alpha) gene and TNF alpha expression in the risk of nasal polyposis.
Methods: STATA 12.0 software was utilized to conduct the Mantel–Haenszel statistics, Cohen statistics, Begg’s test, Egger’s tests and sensitivity analysis.
Results: We systemically carried out the database retrieval and initially identified 486 articles. After screening, 15 articles were included in our meta-analysis. For TNF alpha rs1800629 G/A SNP, compared with control group, an increased risk of nasal polyposis of case group was observed in the models of A vs. G [p (P value of association) = 0.009, OR (odds ratio) = 1.35], GA vs. GG (p = 0.001, OR = 1.69), GA+AA vs. GG (p = 0.010, OR = 1.47). The similar results were observed in Caucasian subgroup (p < 0.05, OR > 1). For TNF alpha rs361525 G/A SNP, no significant difference between control and case group was detected (all p > 0.05). In addition, a significant difference exists between case and control groups in the meta-analyses of TNF alpha expression in nasal mucosal cells, secreted TNF alpha (p < 0.05, OR > 1), but not serum TNF alpha (p = 0.090).
Conclusion: The present meta-analysis revealed that TNF alpha rs1800629, increased TNF alpha expression and secretion of nasal mucosal cells were associated with an increased risk of nasal polyposis. 相似文献