Sökning: "Tumor Classification"

Visar resultat 1 - 5 av 77 avhandlingar innehållade orden Tumor Classification.

1. 1. Brain tumors in children - National population-based studies on classification, diagnostics and long-term follow-up

   Författare :Elizabeth Schepke; Göteborgs universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pediatric CNS tumors; population-based; DNA methylation; profiling; CNS-PNET; re-evaluation; incidence rate; long-term outcome; classification; Pediatric CNS tumors; Population-based; DNA methylation; Profiling; CNS-PNET; Re-evaluation; Incidence rate; Long-term outcome; Classification;

   Sammanfattning : Although the prognosis for pediatric tumors of the central nervous system (CNS) has improved over time it is urgent to reduce mortality and improve long-term quality of life for survivors. With this aim, the first step is to identify the correct diagnosis in order to choose the right therapy and avoid unnecessary treatment. LÄS MER

3. 2. Molecular Classification of Bladder Cancer

   Författare :Gottfrid Sjödahl; Bröstcancer-genetik; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bladder cancer; Subtype; Classification;

   Sammanfattning : Decisions in the treatment of bladder cancer today are based on clinical and pathological risk variables such as tumor stage and tumor grade. The importance of these conventional risk variables is well documented since more than 10 years, and they are used routinely in the clinics. LÄS MER

4. 3. Modeling glioblastoma heterogeneity to decipher its biology

   Författare :Yuan Xie; Lene Uhrbom; Massimo Squatrito; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Glioblastoma multiforme; biobank; GBM cells; cell of origin; LGR5; OPCs;

   Sammanfattning : Glioblastoma multiforme (GBM) is the most common and lethal form of primary brain tumor that mainly affects adults. GBM displays remarkable intra- and inter-tumoral heterogeneity and contains a subpopulation of cells named glioma stem cells that is believed to be responsible for tumor maintenance, progression and recurrence. LÄS MER

5. 4. Advanced Machine Learning Methods for Oncological Image Analysis

   Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

   Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER

7. 5. Studies on the Roles of PDGFRA and EGFR in the Classification and Identification of Therapeutic Targets for Human Gliomas

   Författare :Dongfeng Chen; Neurokirurgi; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Gliomas; classification; EGFR; PDGFRA; FGF2; surface expression; cell proliferation;

   Sammanfattning : Glioma is the most common type of primary tumor in the adult central nervous system (CNS). However, the current classification of gliomas is highly subjective and even inaccurate in some cases, which leads to clinical confusion and hinders the development of targeted therapies. LÄS MER