National Repository of Grey Literature 13 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Radiotherapy planning
Požár, Pavel ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
This thesis deals with analysis of characteristics of ionising radiation. The equipments used for irradiation of pathologic findings are described. The thesis contains particular stages of planning algorithm with list of individual actions. Practical part contains a description of application made for irradiation simulation which includes brief explanation of working procedure with program. It also contains a description of individual functions of this application.
Time development analysis of treated lesion in spinal CT data
Nohel, Michal ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This diploma thesis is focused on time-development analysis of treated lesion in CT data. The theoretical part of the thesis deals with the anatomy, physiology, and pathophysiology of the spine and vertebral bodies. It further describes diagnostic and therapeutic options for the detection and treatment of spinal lesions. It contains an overview of the current state of usage of time-development analysis in oncology. The problems of the available databases are discussed and new databases are created for subsequent analysis. Futhermore, the methodology of time-development analysis according to the shape characterization and the size of the vertebral involvement is proposed. The proposed methodological approaches to feature extraction are applied to the created databases. Their choice and suitability is discussed, including their potential for possible usege in clinical practice of monitoring the development and derivation of characteristic dependences of features on the patient's prognosis.
Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data
Chmelík, Jiří ; Flusser,, Jan (referee) ; Kozubek, Michal (referee) ; Jan, Jiří (advisor)
The aim of this work was the development of algorithms for detection segmentation and classification of difficult to define bone metastatic cancerous lesions from spinal CT image data. For this purpose, the patient database was created and annotated by medical experts. Successively, three methods were proposed and developed; the first of them is based on the reworking and combination of methods developed during the preceding project phase, the second method is a fast variant based on the fuzzy k-means cluster analysis, the third method uses modern machine learning algorithms, specifically deep learning of convolutional neural networks. Further, an approach that elaborates the results by a subsequent random forest based meta-analysis of detected lesion candidates was proposed. The achieved results were objectively evaluated and compared with results achieved by algorithms published by other authors. The evaluation was done by two objective methodologies, technical voxel-based and clinical object-based ones. The achieved results were subsequently evaluated and discussed.
Needs of the patient undergoing radioiodine therapy
PAVLOVIČOVÁ, Adéla
The aim of this bachelor thesis was to map the needs of patients who are treated by radioiodine therapy. Two research questions were chosenin connection with the main objective of the thesis. The research questions are: "What are the specifics of the biological needs of patients undergoing radioiodine treatment?" and "What are the specifics of the psycho-social needs of patients undergoing radioiodine treatment?" The empirical part of the bachelor thesis was elaborated by method of qualitative research. The research itself was conducted in the form of semi-structured interview. Each interview consisted of 19 pre-repaired questions, which were supplemented by additional sub-questions, if it was possible. The interviews took place in the private environment of the Department of Nuclear Medicine and Endocrinology. There were also made the audio recording of this interviews, based on the consent of all interviews. The recordings were rewritten and processed by using the open-coding method - ,,pencil-paper'' technique. There were 8 informants aged 19-72 years, in the research group. The results of the research are presented in the form of three categories and two of them are also divided into subcategories. The subcategories are shown schematically, because of the clarity. These thematically selected categories represent answers of the previously mentioned research questions of this bachelor thesis. The results of the research allow a complex view of the period before, after and also application the radioiodine. These results can be used like educational material for nurses who take care of patients with thyroid disease, or as s source of information for patients waiting for this treatment.
Microbiota as a modulator of carcinogenesis
Benešová, Iva ; Kverka, Miloslav (advisor) ; Krulová, Magdaléna (referee)
Many studies show the ability of gut microbes to modulate the anti-tumour immune response by direct triggering the immune cells or by bacterial metabolites. Interestingly bacteria may even migrate to the tumour tissue and orchestrate the immune response on site. These anti-tumour effects can be improved by the administration of immune checkpoint inhibitors (ICI). Notably, some microbial effects occur only in the presence of ICI. On the contrary, microbiota may also promote tumour growth and negatively impact the effects of ICI therapy. We have disrupted the gut microbiota homeostasis by antibiotics (ATB) to study the effects of gut microbiota on the ICI. This disturbance led surprisingly to reduced tumour growth and enhanced pro-inflammatory immune response not only in the gut but also within the tumour tissue, where especially IFN-γ orchestrated the anti-tumour immune response. Importantly the anti-tumour immune response could be transferred through colonisation of germ-free mice by ATB-changed gut microbiota if concomitantly anti- programmed cell death protein 1 (αPD-1) monoclonal antibody was administrated. These mice had elevated levels of segmented filamentous bacteria (SFB), which induced systemic immune response with increased expression of IL-17 and elevated amounts of Th 17 cells,...
Time development analysis of treated lesion in spinal CT data
Nohel, Michal ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This diploma thesis is focused on time-development analysis of treated lesion in CT data. The theoretical part of the thesis deals with the anatomy, physiology, and pathophysiology of the spine and vertebral bodies. It further describes diagnostic and therapeutic options for the detection and treatment of spinal lesions. It contains an overview of the current state of usage of time-development analysis in oncology. The problems of the available databases are discussed and new databases are created for subsequent analysis. Futhermore, the methodology of time-development analysis according to the shape characterization and the size of the vertebral involvement is proposed. The proposed methodological approaches to feature extraction are applied to the created databases. Their choice and suitability is discussed, including their potential for possible usege in clinical practice of monitoring the development and derivation of characteristic dependences of features on the patient's prognosis.
Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data
Chmelík, Jiří ; Flusser,, Jan (referee) ; Kozubek, Michal (referee) ; Jan, Jiří (advisor)
The aim of this work was the development of algorithms for detection segmentation and classification of difficult to define bone metastatic cancerous lesions from spinal CT image data. For this purpose, the patient database was created and annotated by medical experts. Successively, three methods were proposed and developed; the first of them is based on the reworking and combination of methods developed during the preceding project phase, the second method is a fast variant based on the fuzzy k-means cluster analysis, the third method uses modern machine learning algorithms, specifically deep learning of convolutional neural networks. Further, an approach that elaborates the results by a subsequent random forest based meta-analysis of detected lesion candidates was proposed. The achieved results were objectively evaluated and compared with results achieved by algorithms published by other authors. The evaluation was done by two objective methodologies, technical voxel-based and clinical object-based ones. The achieved results were subsequently evaluated and discussed.
A case report of physiotherapeutic care of a patient after surgery for subtrochanteric chondrosarcoma
Chvátal, Lukáš ; Vomáčková, Helena (advisor) ; Kaucká, Eva (referee)
Title of bachelor's thesis: A case report of physiotherapeutic care of a patient after surgery for subtrochanteric chondrosarcoma. Objectives: The objective of this thesis is a collection of theoretical and practical knowledge about chondrosarcoma and their application to a case study of patient, who is two years after the operation of chondrosarcoma on the proximal femur, where they have used a graft from the fibula bone on the right leg. Summary: The bachelor's thesis is split into two sections: general section and a specific section. The general section describes the pathophysiology of overall tumours and then in each part the topic is narrowed down to just chondrosarcomas. It gives information about the epidemiology, etiologic, classification and clinical picture of a patient with chondrosarcoma. Also it describes a way to prevent, cure and a following rehabilitation. The specific section contains a case study of a patient, who suffered this illness and it has been two years after the operation. The sections include the input and output kinesiology analysis, short-term and long-term plan of a therapy, the design of the therapy, the description of course of individual therapeutic units and a final evaluation of the effect of the therapy. Conclusion: The patient has successfully got rid of acute...
Risk factors of HPV infection and head and neck tumours
Sekavová, Alžběta ; Tachezy, Ruth (advisor) ; Bobák, Martin (referee)
Epidemiology of head and neck cancers is currently intensively studied topic. Recent shift in the age of incidence towards younger population is generally attributed to growing proportion of head and neck cancers caused by human papillomavirus - sexually transmitted virus which causes asymptomatic, but sometimes persisting infection that can lead to malignant transformation of the infected tissue. Significance of the topic lies mainly in the prognostic ad- vantage of patients with virally induced head and cancers and preventabil- ity of infections with human papillomavirus. First aim of this thesis is to demonstrate epidemiological trends of head and neck cancers in the Czech Republic, with the focus on change of age-specific incidence and mortality in the last three decades. Second aim of this thesis is to identify risk factors of oral infections with human papillomaviruses and head and neck cancer in a case-control and cross-sectional study of a hospital-based cohort. 1
Impact of NKR-P1 polymorphism on Ly49 receptors expression in hybrid mouse strains (C57BL/6 x Balb/c, F10-12)
Holubová, Martina ; Fišerová, Anna (advisor) ; Vomastek, Tomáš (referee)
Impact of NKR-P1 polymorphism on Ly49 receptors expression in hybrid mouse strains (C57BL/6 x Balb/c, F10-12) Abstract Natural killer (NK) cells constitute the subpopulation of large granular lymphocytes which mediate spontaneous immune response against infected, transformed or allogeneic cells and thus represent an important component of the innate immunity. NK cells express a wide repertoir of surface receptors which can be either activating or inhibitory and which mediate NK cell recognition and regulation of cytolytic activity. NKR-P1 and Ly49 receptor families belong to the most important murine NK receptors. Both NKR-P1 and Ly49 families are members of C-type lectin-like superfamily of receptors encoded by natural killer gene complex (NKC) on chromosome 6 and include both activating and inhibitory members. The aim of this diploma thesis was to elucidate the impact of Nkr-p1c gene divergence on Ly49 receptors expression and to find out whether the Ly49 and Nkr-p1 gene clusters (which are localized on opposite ends of NKC) are inherited independently or whether the NKC domain is inherited as a complex. The second research interest was to illustrate the influence of the above mentioned divergence on cytotoxic activity of NK cells and tumor growth. In this study, inbred mouse strains C57BL/6 and Balb/c...

National Repository of Grey Literature : 13 records found   1 - 10next  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.