A carregar...
Publicação
Statistical Analysis of Prostate Functional Magnetic Resonance Imaging Data
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.5 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Prostate cancer is the most commonly diagnosed cancer in males, being one of the main causes of cancer
related death in men. Management decisions for patients with prostate cancer are complicated and present
a dilemma for both patients and their clinicians as prostate cancers demonstrate a wide range of biologic
activity with the majority of cases not leading to a prostate cancer-specific death. Furthermore, the current
treatment options for men with localized prostate cancer are aggressive and have significant side effects,
such as incontinence, rectal injury and impotence. Thus it is clear that the challenges to the medical
research community are to accurately predict a given prostate cancer’s behavior to, select those patients
who require therapy and to treat the cancer with the appropriate level of intensity while preserving the
patient’s quality of life. The treatment for this type of cancer that is considered the most effective is radical
prostatectomy, which consists of surgical removal of the prostate and seminal vesicles.
The enormous technological development in the area of magnetic resonance imaging (MRI) with the
arising of new equipment and methods of image acquisition and processing more and more sophisticated,
has led to an increasing use of this technique in areas such as diagnosis support, tumour staging and
therapeutic decision. The excellent spatial resolution and the diversity of contrasts used in MRI (for
example, anatomical image and diffusion) give this technique a high sensitivity and specificity in the
detection of prostate tumours, being fundamental for the planning of minimally invasive robotic surgical
interventions. The interest in mapping non-invasive histological/functional/anatomical features using
MRI as a possible alternative to the pathological anatomy and predictive biomarker in prostate surgeries
has recently increased. However, such methodologies need clinical validation. In this study, we will be
questioning whether the MRI is an effective method for studying prostate cancer before operating, thus
staging the prostate tumour through biomarkers, and then comparing the tumour stage attribution before
the operation with the actual tumour stage found after operating the patient. The predictive factor for
the presence of extracapsular disease in patients with prostatic neoplasia will also be studied. A logistic
regression will be performed to identify which factors are significantly associated with the probability
of occurrence of extracapsular disease, that is, a logistic regression model will be used to predict the
staging of the tumour, based on the observed characteristics of the patient. Data variables included age,
prostate-specific antigen (PSA), tumor length contact (TLC), tumor volume, Gleason score.
Descrição
Trabalho de projeto de mestrado, Bioestatística, Universidade de Lisboa, Faculdade de Ciências, 2022
Palavras-chave
Cancro da próstata ressonância magnética extensão extracapsular biomarcadores regressão logística Trabalhos de projeto de mestrado - 2022