Journal of Yeungnam Medical Science

Original articles

Evaluation of periodontal status in women with polycystic ovary syndrome versus healthy women: a cross-sectional study: Sandhya Pavankumar, Pavan Kumar Yellarthi, Sandeep JN, Ramanarayana Boyapati, Trinath Kishore Damera, Naveen Vital Kumar G; J Yeungnam Med Sci. 2023;40(Suppl):S17-S22. Published online May 8, 2023; DOI: https://doi.org/10.12701/jyms.2023.00143

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Background
Polycystic ovary syndrome (PCOS) affects approximately 4% to 12% of females of reproductive age. Previous studies have shown an association between systemic and periodontal diseases. This study aimed to compare the prevalence of periodontal disease in women with PCOS and healthy women.
Methods
A total of 196 women aged 17 to 45 years were included in this study. Oral hygiene index-simplified (OHI-S), gingival index (GI), community periodontal index (CPI), and loss of attachment (LA) were assessed. Individuals who smoked, were pregnant, had any systemic disease (such as type 1 or type 2 diabetes mellitus, cardiovascular disease, malignancy, osteoporosis, and thyroid dysfunction), had a history of systemic antibiotic use in the past three months, or received any periodontal intervention in the past 6 months of screening were excluded. Student t-test was used to analyze the data. A p-value of <0.05 was considered statistically significant.
Results
Despite similar OHI-S scores (p=0.972) in the two groups, women with PCOS had significantly higher GI, CPI, and LA scores than healthy women (p<0.001).
Conclusion
Periodontal disease was more prevalent in women with PCOS than in healthy women. This finding may be due to the synergistic effects of PCOS and periodontitis on proinflammatory cytokines. PCOS may have an effect on periodontal disease, and vice versa. Hence, education on periodontal health and early detection and intervention for periodontal diseases is of paramount importance in patients with PCOS.

Citations

Citations to this article as recorded by

Insight of the interrelationship and association mechanism between periodontitis and diabetes mellitus
Yongqiang Yang, Xia Sun, Yucheng Yang, Yingchun Qie
Regenerative Therapy.2024; 26: 1159. CrossRef

Magnetic resonance imaging texture analysis for the evaluation of viable ovarian tissue in patients with ovarian endometriosis: a retrospective case-control study: Dayong Lee, Hyun Jung Lee; J Yeungnam Med Sci. 2022;39(1):24-30. Published online July 15, 2021; DOI: https://doi.org/10.12701/yujm.2021.01165

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Abstract PDF: Background
Texture analysis has been used as a method for quantifying image properties based on textural features. The aim of the present study was to evaluate the usefulness of magnetic resonance imaging (MRI) texture analysis for the evaluation of viable ovarian tissue on the perfusion map of ovarian endometriosis.
Methods
To generate a normalized perfusion map, subtracted T1-weighted imaging (T1WI), T1WI and contrast-enhanced T-WI with sequences were performed using the same parameters in 25 patients with surgically confirmed ovarian endometriosis. Integrated density is defined as the sum of the values of the pixels in the image or selection. We investigated the parameters for texture analysis in ovarian endometriosis, including angular second moment (ASM), contrast, correlation, inverse difference moment (IDM), and entropy, which is equivalent to the product of area and mean gray value.
Results
The perfusion ratio and integrated density of normal ovary were 0.52±0.05 and 238.72±136.21, respectively. Compared with the normal ovary, the affected ovary showed significant differences in total size (p<0.001), fractional area ratio (p<0.001), and perfusion ratio (p=0.010) but no significant differences in perfused tissue area (p=0.158) and integrated density (p=0.112). In comparison of parameters for texture analysis between the ovary with endometriosis and the contralateral normal ovary, ASM (p=0.004), contrast (p=0.002), IDM (p<0.001), and entropy (p=0.028) showed significant differences. A linear regression analysis revealed that fractional area had significant correlations with ASM (r2=0.211), IDM (r2=0.332), and entropy (r2=0.289).
Conclusion
Magnetic resonance texture analysis could be useful for the evaluation of viable ovarian tissues in patients with ovarian endometriosis.

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