Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025)

Diagnostics Authors T. Telecan, C. Caraiani, B. Boca, Roxana Sipos-Lascu, L. Dioşan, Z. Bálint, Raluca Maria Hendea, I. Andraș, Nicolae Crișan, M. Lupșor-Platon Abstract Background: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups,…

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023)

Diagnostics Authors B. Boca, C. Caraiani, T. Telecan, R. Pintican, A. Lebovici, I. Andraș, N. Crisan, Alexandru Pavel, L. Dioşan, Z. Bálint, M. Lupșor-Platon, M. Buruian Abstract Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative…

More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis—A Systematic Review (2022)

Journal of Personalized Medicine Authors T. Telecan, I. Andraș, N. Crisan, Lorin Giurgiu, E. Căta, C. Caraiani, A. Lebovici, B. Boca, Z. Bálint, L. Dioşan, M. Lupșor-Platon Abstract Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted…