Browsing by Author "Vikram, S"
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Item An audit of cytoreductive surgeries in ovarian cancer from a rural based cancer center.(2016-04) Dessai, SB; Patil, VM; Chakraborty, S; Babu, S; Bhattacharjee, A; Nayanar, S; Vikram, S; Balasubramanian, SBACKGROUND AND OBJECTIVE: Ovarian cancers are frequently seen at an advanced stage in our center. This audit was planned to see the morbidity and efficacy of different types of cytoreductive surgeries (radical vs. ultra‑radical) done in such patients. METHODS: This was a retrospective analysis of all ovarian cancer patients who underwent cytoreductive surgery at our center from January 2009 to August 2013. The case records of these patients were reviewed and the demographic, disease‑related and treatment‑related data were extracted. RESULTS: Fifty‑fivepatients were identified. Ten (18.2%) patients underwent primary cytoreduction while 45 patients had (81.8%) interval cytoreduction. The resections achieved were optimal in 50 patients (90.9%) and suboptimal in five patients (9.1%). The postoperative median blood loss was 400 (350–600) mL. The median time interval for surgery was 4.0 h (3–5 h). The type of resection achieved (optimal vs. suboptimal) was the only factor affecting the progression free survival (PFS) (Hazard ratio = 0.08 95% confidence interval 0.02–0.3). There was no significant difference in postoperative morbidity in patients undergoing the ultra‑radical surgery as compared to those who underwent radical surgery. CONCLUSION: Optimal cytoreduction may improve PFS in advanced ovarian cancer patients and needs to be done even if it mandates an ultra‑radical surgery.Item Correlation of Anthropometric Measurements of Proximal Tibia with Its Length for Stature Estimation in Forensic Analysis(IMD Research Publications, 2022-06) Balakrishnan, Yogi Anupkumar; Vikram, S; Ningaiah, Ajay; Lokanathan, Tejaswi HBackground: Estimation of stature is one of the commonly used methods in forensic analysis to establish identity of individuals. Estimation of stature from fragments of long bones is done by deriving linear regression equations. The objective of the present study was to derive a simple regression equation for estimating length of the tibia using the morphometry of proximal end of tibia. Materials and methods: In this descriptive study carried out in the department of anatomy of a medical college, anthropometric measurements of proximal end of 150 dry human tibiae were collected irrespective of the sex and side. The parameters measured included the mediolateral length of the proximal end, the anteroposterior length of the medial and lateral condyle of tibia, anteroposterior length of the intercondylar area, and the circumference of proximal end of tibia. The measurements were done using Vernier calliper and measuring tape. Length of the tibia was estimated by using simple regression analysis. Results: The following linear regression equations were derived. Length of tibia can be calculated by, 29.2749 + (1.1925 × Mediolateral length) ±1.1926, 27.6418 + (2.333 × Anteroposterior length of lateral condyle) ±1.132, 21.8342+(3.2614 ×Anteroposterior length of medial condyle) ±1.328, 33.542 +(0.8952 × Anteroposterior length of intercondylar region) ±1.474, 23.1902 +(0.76379 × Circumference of proximal end) ± 1.134 Conclusion: The study revealed that there is a positive correlation between the measurements of proximal end of tibia and its length. The equation derived would help in forensic analysis to estimate the stature of an individual.Item Evaluation Of Changes In The Oral Environment With Lingual Orthodontic Appliances.(2015-11) Gupta, Akshay; Vikram, S; Singh, Karanprakash; Gupta, AnurBackground & Objective: Lingual orthodontics is gaining more popularity in orthodontic centers. The purpose of present study is to evaluate changes in the oral cavity with lingual orthodontic appliances. Methodology: The epidemiological study was conducted among 45 patients with lingual orthodontics. Before the start of orthodontic treatment all the patients received proper oral prophylaxis. The incidence of White Spot Lesions (WSLs), plaque accumulation and gingivitis were evaluated at the interval of one, six and twelve months using WSL index developed by Gorelick et al., (1982), Silness & Löe plaque index and Löe & Silness gingival index respectively. The Student’s t test and ANOVA test were used with a significance level of 5%. Results: The frequency of WSLs increased with the procedure of lingual orthodontics from first month (3.2%) to six (6.7%) and twelve months (7.9%). A significant increase in the plaque index (PI) and gingival index (GI) was observed from month one to twelve months. Overall mean of PI and GI was 2.07±0.809 and 1.67±0.929 respectively among the patients. Conclusion: The occurrence of dental plaque and gingival inflammation was mostly noticed in lingual orthodontic cases as it is difficult to remove the plaque deposits around the brackets in the lingual side.