Tesi etd-12072019-110626 |
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Tipo di tesi
Tesi di dottorato di ricerca
Autore
BERTELLI, ELENA
URN
etd-12072019-110626
Titolo
The era of translational medicine: from circulating tumor cells to radiomics and deep learning.
Settore scientifico disciplinare
MED/36
Corso di studi
SCIENZE CLINICHE E TRASLAZIONALI
Relatori
tutor Prof. Caramella, Davide
correlatore Prof. Serni, Sergio
correlatore Prof. Serni, Sergio
Parole chiave
- Circulating tumor cells
- Lung cancer
- Prostate cancer
- Radiomics
- Texture analysis
Data inizio appello
16/12/2019
Consultabilità
Completa
Riassunto
My PhD project araises from the major change that medicine and healthcare are experiencing in the last decades, moving from reactive to proactive approaches by providing Predictive, Preventive and Personalised medical solutions for the individual patients.
The aim of this PhD project was to explore the role of radiomics and radiogenomics in lung and prostate cancers. At first I focused on the possible contribution of detecting circulating tumor cells and microemboli to diagnostic work up of patients with suspected malignant pulmonary lesions. At the same time we investigate the potential role of quantitative shape analysis in allowing CT differentiation between benign and malignant pulmonary nodules. In this perspective of translational medicine I started to collaborate with some engineers for the evaluation of the potential applications of Radiomics in the oncological field. Prostate cancer is extremely fit for this purpose, so we evaluate the role of radiomics features in predicting prostate cancer aggressiveness.
The aim of this PhD project was to explore the role of radiomics and radiogenomics in lung and prostate cancers. At first I focused on the possible contribution of detecting circulating tumor cells and microemboli to diagnostic work up of patients with suspected malignant pulmonary lesions. At the same time we investigate the potential role of quantitative shape analysis in allowing CT differentiation between benign and malignant pulmonary nodules. In this perspective of translational medicine I started to collaborate with some engineers for the evaluation of the potential applications of Radiomics in the oncological field. Prostate cancer is extremely fit for this purpose, so we evaluate the role of radiomics features in predicting prostate cancer aggressiveness.
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