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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.
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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.
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The use of CAM assay for characterization and study of cancer cell invasive properties
Vágnerová, Lenka ; Dvořák, Michal (advisor) ; Geryk, Josef (referee)
The chorioallantoic membrane (CAM) of chicken embryos belongs to the in vivo model systems frequently used for the study of angiogenesis and cell invasiveness. Using CAM assay we have tested selected chicken sarcoma cell lines characterized by different angiogenic properties and different ability to form metastasis. In addition to CAM assay, several other methods have been used to characterize the phenotype of these cell lines. We have selected a few proteins which could significantly influence the angiogenic and metastatic properties of investigated cell lines. We have established cell lines stably overexpressing these genes and compared their phenotypes with parental cell lines. We have shown that genes encoding ISL1, ARNT2, PROM1, HOXA11 proteins participate, in our experimental model, in activation of programes controlling angiogenesis and cell invasion.
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Perineural spread of pelvic tumors: mechanism and diagnosis
Čapek, Štěpán ; Sameš, Martin (advisor) ; Haninec, Pavel (referee) ; Hořínek, Daniel (referee)
Perineural spread of pelvic tumors mechanism and diagnosis Abstract Neoplastic lumbosacral plexopathies are infrequent affections of the lumbosacral plexus. Cases with minimal or non-specific finding on imaging can be particularly puzzling to diagnose. We describe a series of patients with perineural spread from the site of the primary tumor along the visceral autonomous nerves to the lumbosacral plexus and further proximally to the spinal nerves and even intradurally and also distally to the sciatic nerve. On series of 17 patients diagnosed with perineural spread of pelvic malignancy we describe characteristic clinical presentation and imaging finding. In many of these cases a tissue biopsy is necessary to finalize the diagnosis. We describe operative technique of targeted fascicular biopsy of the sciatic nerve and our experience with this procedure. On series of 117 patients, we report the outcome and complication: diagnostic yield was 84.8% and complication rate was 2.7 %. If a tissue sample is needed to conclude the diagnosis, targeted fascicular biopsy does increase the yield at an acceptable complication rate. Perineural spread of pelvic cancer is a new clinical-pathological entity with an unknown natural history or ideal treatment strategy. Based on the imaging finding in this group we present a...
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Complex Preoperative Brain Tumor Imaging
Tupý, Radek ; Ferda, Jiří (advisor) ; Vymazal, Josef (referee) ; Tüdös, Zbyněk (referee)
Title Complex preoperative brain tumor imaging Abstract The differentiation of glioblastoma, metastases and brain lymphoma using modern diagnostic imaging methods has a major impact on the strategy of further diagnostic examinations and treatment. In a group of 67 patients with glioblastoma and 31 with cerebral metastasis, the ability to differentiate them according to the evaluation of perfusion parameters changes in peritumoral white matter by T1 dynamic post-contrast magnetic resonance imaging was verified, with the positive predictive value in glioblastoma detection up to 91%. In a group of 36 brain lymphoma patients the importance of imaging submodalities and contribution of a complex magnetic resonance imaging protocol to detect lymphoma up to 80% were evaluated. Key words brain, glioblastoma, lymphoma, magnetic resonance imaging, neoplasm metastasis
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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.
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Molecular mechanisms of fibroblastoid cell phenotype transitions:dedifferentiation of myofibroblasts and influencing of invasiveness and metastasis of sarcoma
Kosla, Jan
Fibroblasts are the principal cellular component of the connective tissue. They are a heterogeneous group of cells which contribute to the structure of connective tissue and wound healing by their ability to produce extracellular matrix (ECM). Fibroblasts and cells derived from them are involved in many pathological processes such as formation of malignant tumors and fibrosis. Tumor progression which finally leads to metastasis is a serious biomedical problem. There is a growing body of the recent evidence showing an important role of the tumor stroma and its interaction with cancer cells in cancer progression. Tumor stroma comprises mainly of myofibroblasts and their products, namely ECM, soluble factors, and enzymes. Myofibroblasts contribute more or less to all steps of cancer progression. Furthermore myofibroblasts play a key role in fibrosis, another serious human disease which is not efficiently treatable and which is associated with cancer progression. These facts made us to search for molecular means capable of eliminating the myofibroblastic phenotype. We succeeded to entirely dedifferentiate primary myofibroblasts by concomitant inhibition of TGFβ signaling and perturbation of MAPK signaling in a chick model that we have introduced. Malignant fibroblasts form sarcomas. ECM is the first...
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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.
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Complex Preoperative Brain Tumor Imaging
Tupý, Radek ; Ferda, Jiří (advisor) ; Vymazal, Josef (referee) ; Tüdös, Zbyněk (referee)
Title Complex preoperative brain tumor imaging Abstract The differentiation of glioblastoma, metastases and brain lymphoma using modern diagnostic imaging methods has a major impact on the strategy of further diagnostic examinations and treatment. In a group of 67 patients with glioblastoma and 31 with cerebral metastasis, the ability to differentiate them according to the evaluation of perfusion parameters changes in peritumoral white matter by T1 dynamic post-contrast magnetic resonance imaging was verified, with the positive predictive value in glioblastoma detection up to 91%. In a group of 36 brain lymphoma patients the importance of imaging submodalities and contribution of a complex magnetic resonance imaging protocol to detect lymphoma up to 80% were evaluated. Key words brain, glioblastoma, lymphoma, magnetic resonance imaging, neoplasm metastasis
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The case report of physiotherapeutic treatment of the patient with cancer multiplicity and brain metastases
Černá, Monika ; Nováková, Tereza (advisor) ; Dušánek, Tomáš (referee)
Title: The case report of physiotherapeutic treatment of the patient with cancer multiplicity and brain metastases. Aims: Aims of this thesis are to acquire theoretic knowledge about cancer multiplicity with brain metastases and to make case study of patient treated with cancer multiplicity with brain metastases, left-sided hemiparesis and cerebellar damage. Summary: The thesis is composed of general part and special part. General part consisted of information about anatomical structures in central nervous system, characteristic of the diagnosis, how the disease developes, a symptomatology, examinations and a treatment of the disease. Special part includes the case study of the patient with cancer multiplicity and brain metastases, consequent stroke and cerebellar damage. The case study is composed of patient history, entrance/final kinesiological examination, short-term and long-term plan, the therapy and the evaluation of therapeutic effect. Keywords: cancer multiplicity, metastases, physiotherapy, case report, stroke, cerebellum
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