Diagnostic Performance of Intestinal Fusobacterium nucleatum in Colorectal Cancer: A Meta-Analysis.

BACKGROUND: Increasing evidence has supported the link of intestinal Fusobacterium nucleatum infection to colorectal cancer (CRC). However, the value of F. nucleatum as a biomarker in CRC detection has not been fully defined. In order to reduce the random error and bias of individual research, this meta-analysis aimed to evaluate the diagnostic performance of intestinal F. nucleatum in CRC patients and provide evidence-based data to clinical practice. METHODS: An article search was performed from PubMed, Embase, Cochrane Library, and Web of Science databases up to December 2017, using the following key words: "Fusobacterium nucleatum", "Fusobacterium spp.", "Fn", "colorectal cancer(s)", "colorectal carcinoma(s)", "colorectal neoplasm(s)", and "colorectal tumor(s)". Articles on relationships between F. nucleatum and CRC were selected according to the preestablished inclusion and exclusion criteria. This meta-analysis was performed using STATA 12.0 software, which included mapping of forest plots, heterogeneity tests, meta-regression, subgroup analysis, sensitivity analysis, and publication bias. The sensitivity, specificity, positive likelihood ratio (LR), negative LR, diagnostic odds ratio (DOR), and their corresponding 95% confidence interval (CI) of each eligible study were summarized. RESULTS: Finally, data for 1198 participants (629 CRC and 569 healthy controls) in 10 controlled studies from seven articles were included. The summary receiver operator characteristic curve was mapped. The diagnostic performance of intestinal F. nucleatum infection on CRC was as follows: the area under the curve: 0.86 (95% CI: 0.83-0.89), the pooled sensitivity: 0.81 (95% CI: 0.64-0.91), specificity: 0.77 (95% CI: 0.59-0.89), and DOR: 14.00 (95% CI: 9.00-22.00). CONCLUSION: Intestinal F. nucleatum is a valuable marker for CRC diagnosis.

[Reconstruction of a digital three-dimensional model of fetal heart].

OBJECTIVE: To explore the methods for constructing the digital three-dimensional model of fetal heart. METHODS: Original two-dimensional CT image data sets were collected from 4 abortion fetuses with fetal malformations but not heart malformation or chromosomal abnormalities. The three-dimensional fetal heart model was reconstructed using Mimics14.0 software. RESULTS: In the reconstructed three-dimensional fetal heart, the left atrium, left ventricle, right atrium, right ventricle, the ascending aorta, the main pulmonary and their branches, the superior cava and inferior vena cava were marked with different colors, and these structures could be displayed individually or with other structures. This model also allowed three-dimensional arbitrary scaling, shifting or rotation at any angle, and the diameter of the each vessel could be measured with the software. CONCLUSION: The fetal heart model can be successfully reconstructed from the CT datasets using three-dimensional reconstruction software to facilitate clinical and anatomical teaching.