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Mesenchymal stem cells were functionally different following exposure to P. gingivalis LPS at the investigated concentrations. These findings suggest that MSC-mediated periodontal regeneration may be regulated by P. gingivalis LPS.

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BACKGROUND AND PURPOSE: MR imaging is a useful and widely used evaluation for chordomas. Prior studies have classified chordomas into cell-dense type and matrix-rich type according to the ultrastructural features. However, the relationship between the MR imaging signal intensity and ultrastructural classification is unknown. We hypothesized that MR imaging signal intensity may predict both tumor ultrastructural classification and prognosis.MATERIALS AND METHODS: Seventy-nine patients with skull base chordomas who underwent 95 operations were included in this retrospective single-center series. Preoperative tumor-to-pons MR imaging signal intensity ratios were calculated and designated as ratio on T1 FLAIR sequence (R T1 ), ratio on T2 sequence (R T2 ), and ratio on enhanced T1 FLAIR sequence (R EN ), respectively. We assessed the relationships among signal intensity ratios, ultrastructural classification, and survival. RESULTS:Compared with the matrix-rich type group, the cell-dense type chordomas showed lower R T2 (cell-dense type: 1.90 6 0.38; matrix-rich type: 2.61 6 0.60 P , .001). The model of predicting cell-dense type based on R T2 had an area under the curve of 0.83 (95% CI, 0.75-0.92). In patients without radiation therapy, both progression-free survival (P ¼ .003) and overall survival (P ¼ .002) were longer in the matrix-rich type group than in the cell-dense type group. R EN was a risk factor for progression-free survival (hazard ratio ¼ 10.24; 95% CI, 1.73-60.79); R T2 was a protective factor for overall survival (hazard ratio ¼ 0.33; 95% CI, 0.12-0.87); and R EN was a risk factor for overall survival (hazard ratio ¼ 4.76; 95% CI, 1.51-15.01). CONCLUSIONS:The difference in MR imaging signal intensity in chordomas can be explained by electron microscopic features. Both signal intensity ratios and electron microscopic features may be prognostic factors.