Showing posts with label Brain tumor. Show all posts
Showing posts with label Brain tumor. Show all posts

Monday, 8 August 2022

Could FXIII Deficiency Influence Intracerebral Hemorrhage after Neurosurgery? | Chapter 9 | Current Practice in Medical Science Vol. 8

The main objective was to determine how perioperative FXIII levels affected ICH following brain surgery. An 18-month prospective observational study was conducted at a Spanish third-level hospital. It comprised all consecutive adults (18 years or older) who underwent elective brain tumour surgery and underwent postoperative care in the Neurointensive Care Unit (N-ICU). Ages under 18, informed refusals, deaths in operating rooms, inadequate blood samples, and non-tumor tissue were prohibited. FXIII levels in three blood samples were measured (A-presurgical, B-postsurgical and C-24 hours after surgery). The study involved 109 patients. Final ICH confirmation was made in 39 of them (35,78 percent). An association between the length of the ICU stay (p0,01) and the male gender (p0,03) and the ICH was found by inferential studies. Particularly in the B sample, ICH patients' average FXIII was lower (A 71,2 percent, B 51,57 percent, C 52,14 percent). After brain tumour surgery, acquired FXIIID (70%) elevated ICH, indicating that it might be employed as a risk marker for haemorrhage. Additionally, male gender, baseline variation, and a longer ICU stay were all associated with ICH. Tests for normal coagulation did not exclude FXIII disease. Future research may focus on FXIIID detection and replacement therapy as a therapeutic goal.

 

Author (s) Details

Estela Val Jordan

Department of Critical Care, Hospital Universitario Miguel Servet, Paseo Isabel La Católica, 1-3. 50009, Zaragoza, Spain.

 

Please see the link here:- https://stm.bookpi.org/CPMS-V8/article/view/7798


Friday, 25 February 2022

Comparative Analysis of Automatic Brain Tumor Segmentation Techniques Using Watershed, Region Growing and K-Means Clustering | Chapter 17 | Issues and Developments in Medicine and Medical Research Vol. 8

 Image segmentation is an important and demanding component in automatic recognition systems for medical images in the broad field of medical image processing. Medical pictures obtained from a variety of sources, including computed tomography (CT), magnetic resonance imaging (MRI), and others, will be used for diagnosis. The goal of this research is to give a thorough examination of several brain tumour segmentation methods. A comparison of these various segmentation conventions has been carried out. The numerous picture segmentation approaches K-Means Clustering, Watershed, and Region are discussed in this work. Methods for detecting brain tumours from sample MRI images of the brain are being developed.



Author(S) Details


Arati Kothari
Department of Computer Science, Gulbarga University, Kalaburagi, Karnataka, India.

View Book:- https://stm.bookpi.org/IDMMR-V8/article/view/5815