Tesi etd-01062025-112730 |
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Tipo di tesi
Tesi di specializzazione (4 anni)
Autore
MENDOLA, VINCENZO
URN
etd-01062025-112730
Titolo
A novel AI-based fusion software for US/MR guided prostate biopsy: initial results
Dipartimento
RICERCA TRASLAZIONALE E DELLE NUOVE TECNOLOGIE IN MEDICINA E CHIRURGIA
Corso di studi
RADIODIAGNOSTICA
Relatori
relatore Prof.ssa Crocetti, Laura
relatore Prof. Neri, Emanuele
relatore Prof. Neri, Emanuele
Parole chiave
- prostate biopsy ai
Data inizio appello
27/01/2025
Consultabilità
Non consultabile
Data di rilascio
27/01/2095
Riassunto
In a study conducted over several years, MRI-US fusion biopsies were performed using the Esaote UroFusion system, which incorporates AI-powered tools to enhance prostate segmentation and cancer detection.
Some mpMRI scans initially conducted at external centers by non-specialist radiologists were re-evaluated by expert radiologists to ensure consistent and accurate lesion characterization. Adjustments were made to standardize evaluations and exclude cases without clear lesions.
Lesion identification and confirmation benefited from the expertise of dedicated radiologists, highlighting the importance of specialized evaluations. The majority of confirmed lesions were clinically significant, and cancer detection rates were higher when using MRI-US fusion biopsies compared to systematic biopsy alone. However, systematic biopsy remained an essential component, as it identified additional clinically significant tumors not detected through targeted methods.
The study underscores the importance of having mpMRI evaluations performed by expert radiologists to ensure better lesion characterization and diagnostic accuracy. AI-powered tools like UroFusion improve efficiency and detection rates, but systematic biopsy continues to play a critical role in comprehensive prostate cancer diagnosis. Collaboration between radiologists, urologists, and other specialists is vital for achieving optimal outcomes in the diagnosis and treatment of prostate cancer.
Some mpMRI scans initially conducted at external centers by non-specialist radiologists were re-evaluated by expert radiologists to ensure consistent and accurate lesion characterization. Adjustments were made to standardize evaluations and exclude cases without clear lesions.
Lesion identification and confirmation benefited from the expertise of dedicated radiologists, highlighting the importance of specialized evaluations. The majority of confirmed lesions were clinically significant, and cancer detection rates were higher when using MRI-US fusion biopsies compared to systematic biopsy alone. However, systematic biopsy remained an essential component, as it identified additional clinically significant tumors not detected through targeted methods.
The study underscores the importance of having mpMRI evaluations performed by expert radiologists to ensure better lesion characterization and diagnostic accuracy. AI-powered tools like UroFusion improve efficiency and detection rates, but systematic biopsy continues to play a critical role in comprehensive prostate cancer diagnosis. Collaboration between radiologists, urologists, and other specialists is vital for achieving optimal outcomes in the diagnosis and treatment of prostate cancer.
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