The potential role of preoperative cystoscopy for determining the depth of invasion in the placenta accreta spectrum.

Objectives: This study aims to determine the role of preoperative cystoscopy in specifying the degree of placental invasion to the bladder in the placenta accreta spectrum (PAS), especially in percreta.

Material And Methods: This prospective observational cohort study included 78 PAS patients. All included patients underwent the preoperative cystoscopy before the cesarean hysterectomy operation.

Comparison of MED 12 gene mutation and microRNA-124 expression in leiomyoma and myometrium of Turkish patients.

Objectives: It is believed that there are still unclear areas in the formation mechanism of leiomyomas. In our study, it was aimed to investigate the formation mechanisms of leiomyomas due to local MED 12 gene exon 2 mutation and local microRNA-124 expression in a Turkish population.

Material And Methods: Thirty patients who underwent hysterectomy for leiomyoma uteri at Gaziantep University between January 2013 and January 2016 were included in our study.

Is there a role of prophylactic bilateral internal iliac artery ligation on reducing the bleeding during cesarean hysterectomy in patients with placenta percreta? A retrospective cohort study.

Objectives: Our study aims to evaluate the effect of bilateral prophylactic internal iliac artery ligation (IIAL) on bleeding in patients with placenta percreta who undergo cesarean hysterectomy (CH) with the use of blunt dissection technique.

Material And Methods: This retrospective cohort study included 96 patients with placenta percreta who underwent planned CH with using the blunt dissection technique to allow better vesico-uterine dissection at the gynecology and obstetrics unit of a university hospital between the years 2017-2019. We carried out bilateral IIAL before CH in the study group (group 1) while we performed only CH in the control group (group 2).

Depression Screening from Voice Samples of Patients Affected by Parkinson's Disease.

Depression is a common mental health problem leading to significant disability world wide. Depression is not only common but also commonly co-occurs with other mental and neurological illnesses. Parkinson's Disease gives rise to symptoms directly impairing a person's ability to function.

Analysis of speech-based measures for detecting and monitoring Alzheimer's disease.

Automatic diagnosis of the Alzheimer's disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech based features. As opposed to standard tests, spontaneous conversations are carried and recorded with the subjects.