Development Ischemic Stroke Model by Right Unilateral Common Carotid Artery Occlusion (RUCCAO) Method

Mentari, Ika Ayu; Naufalina, Rifda; Rahmadi, Mahardian; Khotib, Junaidi

doi:10.20473/fmi.v54i3.10015

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…In this study there was an increase of tumor necrosis factor (TNF) levels in the synovium fluid. The effects of BMSCs on cartilage improvement are derived from inhibition of catabolic effects and stimulation of anabolic effects through cytokine mediators 14 .…”

Section: Discussionmentioning

confidence: 99%

The Effect of Allogenic Bone Marrow Mesenchymal Stem Cell - Platelet Rich Plasma (Bmscs - Prp) Intra-Articular Injection Effect on the Regeneration of Full-Thickness Joint Cartilage Defect on Rabbit

2020

IJFMT

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Introduction: Full thickness cartilage defects are still a problem until present since the handling has not give any satisfactory results. Current handling is performed through cartilage enginering using mesenchymal stem cells alone and or in combination with growth factor. The purpose of this study was to investigate the effect of injection of intra-articular injection of Allogenic bone marrow mesenchymal stem cell -Platelet rich plasma (BMSCs-PRP) on regeneration of full thickness cartilage defect in rabbits. Method:The design of this study is a post-test only control group design using 36 New Zealand white rabbits divided into three groups treated with PRP, BMSCs and BMSCs-PRP. Results are evaluated after 10 weeks.Results: In the evaluation, macroscopic images showed the best healing in the BMSCs-PRP group. Histopathologic examination showed that in the MSCs-PRP group there was a significant increase in the amount of chondrocytes (p = 0.000), cartilage area (p = 0.000), as well as the number of Agecoprogenitor expec-tion cells (p = 0.000) and type 2 collagen (p = 0.000). Conclusions:Intra-articular injections Allogenic bone marrow mesenchymal stem cell (BMSCs-PRP) is able to regenerate and cure full-thickness joint cartilage defects through differentiation of MSCs into condroblasts.

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Section: Discussionmentioning

confidence: 99%

The Effect of Allogenic Bone Marrow Mesenchymal Stem Cell - Platelet Rich Plasma (Bmscs - Prp) Intra-Articular Injection Effect on the Regeneration of Full-Thickness Joint Cartilage Defect on Rabbit

2020

IJFMT

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“…All of the above therapies do not produce enough hyaline cartilage tissue; thus, it continues on tissue engineering to develop strategies for cartilage repair and regeneration with biomechanical characteristics, biological compositions, and the same organization as the original articular cartilage. Trias engineering network consists of 3 components, namely cell, signal, and scaffold 4 .…”

Section: Introductionmentioning

confidence: 99%

Biocompatibility Test of Decellularized Cartilage Bovine Scaffold in Vitro and In Vivo

2020

IJFMT

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Background: Incidence of cartilage defects was reported at 65.00% of the routine arthroscopy procedures. Dr.Soetomo Teaching Hospital Network Bank developed a cartilage scaffold from bovine that has been deselularized decellularized cartilage bovine scaffold (DCBS). It takes a study of biocompatibility test to prove that DCBS is not cytotoxic to cells and not generate a host response. Objective:To analyze the biocompatibility of decellularized cartilage bovine scaffold (DCBS) in vivo and in vitro. Methods and Materials:The subjects were experimental rats and experimental with in vitro and in vivo trials. The subjects were treated by toxicity test with MTT assay, irritation test using Draize Scale, acute/ pyogenic systemic toxicity test by observing changes in body weight and temperature, and implantation test by observing fibrous capsule formation and Immunoglobulin G. Data was analyzed by using Kolmogorovsmirnov, Independent T-test, Mutivariate Analysis of Variance (MANOVA), and Mann Whitney. Result:The percentage of viable DCBS (81.78%) and CBS (92.45%) was ≥70% of the control; thus, it is non-toxic to the cell. Draize scale in each group was in grade 0. Changes in body weight (p = 0.981) and temperature (p >0.05) had no significant association between groups. There was a significant difference mean of the fibrous capsule (p = 0.000) thickness and no significant difference in the mean number of Immunoglobulin G which was formed at week 1 (p = 0.87) and week 4 (p = 0.63) after implantation between CCBS and DCBS. Conclusion:The biocompatibility test shows that DCBS is compatible as a biomaterial.

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“…In general, strokes are classified into two types, as hemorrhagic stroke or ischemic stroke. Hemorrhagic stroke is caused by an increase in acute blood pressure, or by other diseases that cause weak blood vessels [3]. Meanwhile, ischemic stroke is caused by a blockage of the arteries due to emboli, or by atherosclerosis in the blood vessels of the brain [3].…”

Section: Introductionmentioning

confidence: 99%

“…Blockage of the arteries is called infarction. In ischemic stroke, cerebral infarction is the more common condition, and is the death of brain cells due to prolonged ischemia [3].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Preprocessing Method for Support Vector Machine for Classification of Imbalanced Cerebral Infarction Datasets

Rustam

Utami

Hidayat

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Cerebral infarction is one of the causes of ischemic stroke in the brain, and machine learning can be used in the detection of cerebral infarction in the brain. In diagnosing the presence of cerebral infarction in the brain, machine learning is used because it is not enough just to use a CT scan to diagnose. Support vector machine (SVM) is a machine learning method that is known for its high accuracy value. However, SVM can produce less optimal results if the data used is imbalanced. If imbalanced data is used, the resulting model will be biased. Therefore, this study uses a hybrid preprocessing method for SVM on the classification of an imbalanced cerebral infarction dataset obtained from the Department of Radiology at Dr. Cipto Mangunkusumo Hospital. This method is a combination of several sampling methods that deal with the problem of imbalanced data and utilizes undersampling and oversampling techniques in combination with SVM. Oversampling modifying the infarction dataset through the duplication of data with a small number of classes to be balanced with a large number of data classes. While undersampling reducing data with a large number of classes to be balanced with a smaller number of data classes. Undersampling and Oversampling are combined into a hybrid method. This method is a hybrid method of the undersampling and oversampling that can be used in SVM. The results of hybrid method using SVM will be compared with the undersampling and oversampling using SVM, individually. And SVM method without preprocessing the imbalanced dataset. The accuracy of the proposed method reached 94% in our evaluations for SVM using a hybrid preprocessing method.

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Development Ischemic Stroke Model by Right Unilateral Common Carotid Artery Occlusion (RUCCAO) Method

Cited by 7 publications

References 16 publications

The Effect of Allogenic Bone Marrow Mesenchymal Stem Cell - Platelet Rich Plasma (Bmscs - Prp) Intra-Articular Injection Effect on the Regeneration of Full-Thickness Joint Cartilage Defect on Rabbit

The Effect of Allogenic Bone Marrow Mesenchymal Stem Cell - Platelet Rich Plasma (Bmscs - Prp) Intra-Articular Injection Effect on the Regeneration of Full-Thickness Joint Cartilage Defect on Rabbit

Biocompatibility Test of Decellularized Cartilage Bovine Scaffold in Vitro and In Vivo

Hybrid Preprocessing Method for Support Vector Machine for Classification of Imbalanced Cerebral Infarction Datasets

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