ABSTRACT
Polycystic ovary syndrome (PCOS), a frequently occurring health issue, has a significant effect on the cosmetic, metabolic, psychosocial and fertility aspects of women. A multidisciplinary team approach based on the core pillars of screening, assessment and counselling to detect, prevent and treat physiological and psychological issues in PCOS is very essential. Women are treated medically, but the psychosocial part is often forsaken. Hence, counselling forms an integral part of PCOS management that enables enhanced clinical outcomes and patient satisfaction. Digital tools and PCOS support groups have built an opportunity for physicians to create awareness, help timely diagnosis and overcome PCOS symptoms. The absence of clear guidelines to tackle the often less discussed aspects of PCOS warrants the need for consensus on PCOS counselling. This review summarizes the biopsychosocial health, clinical assessment and treatment strategies of PCOS and associated co-morbidities. The review article will discuss the clinician's role in patient education with the special focus on counselling of females with PCOS regardless of age group.
ABSTRACT
INTRODUCTION: Age estimation is important for administrative and ethical reasons and also because of legal consequences. Dental pulp undergoes regression in size with increasing age due to secondary dentin deposition and can be used as a parameter of age estimation even beyond 25 years of age. Kvaal et al. developed a method for chronological age estimation based on the pulp size using periapical dental radiographs. There is a need for testing this method of age estimation in the Indian population using simple tools like digital imaging on living individuals not requiring extraction of teeth. AIMS AND OBJECTIVES: Estimation of the chronological age of subjects by Kvaal's method using digital panoramic radiographs and also testing the validity of regression equations as given by Kvaal et al. MATERIALS AND METHODS: The study sample included a total of 152 subjects in the age group of 14-60 years. Measurements were performed on the standardized digital panoramic radiographs based on Kvaal's method. Different regression formulae were derived and the age was assessed. The assessed age was then correlated to the actual age of the patient using Student's t-test. RESULTS: No significant difference between the mean of the chronological age and the estimated age was observed. However, the values of the mean age estimated by using regression equations as given previously in the study of Kvaal et al. significantly underestimated the chronological age in the present study sample. CONCLUSION: The results of the study give an inference for the feasibility of this technique by calculation of regression equations on digital panoramic radiographs. However, it negates the applicability of same regression equations as given by Kvaal et al. on the study population.
