Spinal Enumeration by Morphologic Analysis of Spinal Variants: Comparison to Counting in a Cranial-To-Caudal Manner

OBJECTIVE: To compare the spinal enumeration methods that establish the first lumbar vertebra in patients with spinal variants. MATERIALS AND METHODS: Of the 1446 consecutive patients who had undergone computed tomography of the spine from March 2012 to July 2016, 100 patients (62 men, 38 women; mean age, 47.9 years; age range, 19–88 years) with spinal variants were included. Two radiologists (readers 1 and 2) established the first lumbar vertebra through morphologic analysis of the thoracolumbar junction, and labeled the vertebra by counting in a cranial-to-caudal manner. Inter-observer agreement was established. Additionally, reader 1 detected the 20th vertebra under the assumption that there are 12 thoracic vertebra, and then classified it as a thoracic vertebra, lumbar vertebra, or thoracolumbar transitional vertebra (TLTV), on the basis of morphologic analysis. RESULTS: The first lumbar vertebra, as established by morphologic analysis, was labeled by each reader as the 21st segment in 65.0% of the patients, as the 20th segment in 31.0%, and as the 19th segment in 4.0%. Inter-observer agreement between the two readers in determining the first lumbar vertebra, based on morphologic analysis, was nearly perfect (κ value: 1.00). The 20th vertebra was morphologically classified as a TLTV in 60.0% of the patients, as the first lumbar segment in 31.0%, as the second lumbar segment in 4.0%, and as a thoracic segment in 5.0%. CONCLUSION: The establishment of the first lumbar vertebra using morphologic characteristics of the thoracolumbar junction in patients with spinal variants was consistent with the morphologic traits of vertebral segmentation.

The haplotypes of TNFRSF17 polymorphisms are associated with colon cancer in a Korean population.

PURPOSE: We previously found that the haplotypes of TNFRSF17 single nucleotide polymorphisms (SNPs) were associated with the susceptibility to inflammatory bowel disease on Korean population. The present study aimed to investigate whether the polymorphisms in the TNFRSF17 gene are associated with susceptibility to colorectal cancer (CRC). METHODS: Genotype analysis in the TNFRSF17 SNPs was performed by high-resolution melting and TaqMan probe analysis, and the genotype and allele frequencies of TNFRSF17 SNPs were compared between the CRC patients and the healthy controls. The haplotype frequencies of TNFRSF17 for multiple loci were estimated using the expectation maximization algorithm. RESULTS: Although, the genotype and allelic frequencies of these SNPs, in the colon cancer and rectal cancer patients, were not significantly different from those in the healthy controls, the genotype and allele frequency of g.2493G>A was significantly different between the healthy controls and the right colon cancer patients (P = 0.014 and 0.004, respectively). Moreover, the haplotypes frequencies in the healthy controls were significantly different from those in the colon cancer patients. CONCLUSION: Our results suggest that TNFRSF17 may be a candidate gene associated with the pathogenesis of colon cancer, and the haplotypes of the TNFRSF17 polymorphisms might be one of the markers for colon cancer susceptibility.