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PURPOSE OF STUDY: Advanced uterovaginal prolapse can significantly affect the quality of life in women and usually requires surgical management. McCall’s culdoplasty (M) or sacrospinous fixation (SSF) are done at the time of vaginal hysterectomy with pelvic floor repair (VHPFR) to reduce recurrence, but recurrence rates of 15% and 33% have been reported with these procedures respectively. We hypothesize that combining VH-PFR with both McCall’s culdoplasty and sacrospinous fixation (VH-PFR-M-SSF) may decrease recurrence rates compared to VH-PFR-M without significantly affecting other perioperative outcomes. METHODS: All patients with advanced uterovaginal prolapse and willing for VH-PFR at our institute from January 2015 to March 2018 were included after informed consent, except for medically unfit women and those preferring alternative management. We conducted a case control study comparing VH-PFR-M and VH-PFR-M-SSF with a follow-up period of 24 months. Qualitative and quantitative data were statistically analysed and Odds ratio and 95% Confidence interval was calculated. Kaplan Meier Curve was drawn and Log Rank test was used to compare recurrence. RESULTS: Out of 174 patients who underwent surgery in the study period, 131 patients (75.28%) underwent VH-PFR-M and 43 patients (24.71%) underwent VH-PFR-M-SSF. Both groups were comparable for age, body mass index, parity, postmenopausal status, comorbidities and aggravating factors. Patients with higher stage of prolapse were more in group 2 (p

The research on this review paper presents the complicated usage of prescribed drugs which perform under the area of data mining for managing high volume of data and usage of complex function for performing more refined analysis using cloud platform. The aim of this review paper is to understand the innovative and extensive frame that characterize drug abuse using social media. The concept of this review paper is an analytical approach to analyze social media by applying powerful techniques such as cloud computing and Map Reduce model. for acquiring the drug abuse emerge trends. This paper describes how to capture important data to evaluate from networks like Twitter, Facebook, and Instagram. Also, big data techniques are used for analysis of data content.

Tumor segmentation from MRI (Magnetic Resonance Imaging) data is an emerging process in medicine but it is time consuming manual task performed by medical experts. Because of the highdiversity in tumor tissue of different patients, automating this process is a challenging riskMedical resonance imaging is a challenging and innovative field in medical science. The brain tumor detection using MRI images has many applications. Brain tumor detection and segmentationfrom MRI images is being one of the emerging fields in the biomedicine. There are different brain tumor detection and segmentation methods. Detection and segmentation methods are used to detect and segment the brain tumor from the MRI images. Here a brief review about the differentbrain tumor detection and segmentation methods has been discussed. The different methods include watershed method, bilateral method, etc.

Cloud storage is nowadays trending in case of storage and the cloud service providers (CSP) provides varieties of offers for organisations and made the resources available online. Data integrity checking and regeneration of failed servers nowadays becomes critical and we need to safeguard the delegated data in cloud storage against corruptions. It will become the major delinquent towards the cloud servers. Surviving paper works offers only private auditing and requires data owners to always available and handle auditing, and repairing which may sometimes be unrealistic. Our work-scheme focuses with regeneration and for that cloud user’s first produce their secret keys and the TPA audits the files, in case of file corruption then forwards to a proxy agent by sharing partial private key and regenerates the corrupted files. Here we uses the seed block algorithm for the purpose of regeneration and also introduces an additional agent for auto regeneration, which reduces the downloading time related issues.

To analyse cases of endometrioid epithelial ovarian carcinoma with respect to clinicopathological features, management and outcome at a tertiary cancer referral hospital in western India. This is a retrospective analysis of 46 cases treated at the Gujarat Cancer & Research Institute from January 2008–September 2012. Baseline characteristics, CA-125, RMI, management, staging, grading, residual disease, adjuvant therapy and survival were studied and analysed, using SPSS 22.0 software. Non-parametric tests for statistical significance and Kaplan–Meier survival analysis were applied. Out of 46 women (median age 50 years), 39 % were diagnosed in early stage, 24 % in advanced stage and 37 % were unstaged. Overall survival at 24 months was 87.8 %. It was associated with infertility (28 %), endometriosis (9 %) and synchronous endometrial carcinoma (20 %). R0 resection was achieved in 74 % of patients. The univariate analysis showed that size of tumour, disease stage and R0 resection status were significant prognostic factors for endometrioid subtype of epithelial ovarian cancer. Endometrioid epithelial ovarian cancer was associated with synchronous endometrial carcinoma, nulliparity and younger age at presentation. NACT with interval cytoreduction (in patients with clinically advanced tumours where R0 resection may be unfeasible) can offer survival benefits equivalent to primary cytoreduction (in advanced stage).