Research on texture images and radiomics in urology: a review of urological MR imaging applications

A Valeri, TA Nguyen - Current opinion in urology, 2023 - journals.lww.com
Future challenges, besides developing prospective and validated studies, include
automated segmentation using artificial intelligence deep learning networks and hybrid …

[HTML][HTML] Radiomic Pipelines for Prostate Cancer in External Beam Radiation Therapy: A Review of Methods and Future Directions

B Mendes, I Domingues, J Santos - Journal of Clinical Medicine, 2024 - mdpi.com
Background: Prostate Cancer (PCa) is asymptomatic at an early stage and often painless,
requiring only active surveillance. External Beam Radiotherapy (EBRT) is currently a …

Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesions

E Altıntaş, A Şahin, S Erol, H Özer, M Gül… - … Oncology: Seminars and …, 2024 - Elsevier
Introduction The objective of this study is to predict the probability of prostate cancer in PI-
RADS 3 lesions using machine learning methods that incorporate clinical and mpMRI …

Development and validation of a novel nomogram to avoid unnecessary biopsy in patients with PI-RADS category≥ 4 lesions and PSA≤ 20 ng/ml

H Zeng, Y Chen, J Zhao, J Dai, Y Xie, M Wang… - World Journal of …, 2024 - Springer
Objectives To develop and validate a prediction model for identifying non-prostate cancer
(non-PCa) in biopsy-naive patients with PI-RADS category≥ 4 lesions and PSA≤ 20 ng/ml …

[PDF][PDF] PET/CT in Prostate Cancer

L Evangelista, S Fanti - Cancers, 2023 - cris.unibo.it
Over the last decade, PET/CT has played a crucial role in managing patients with prostate
cancer (PCa), significantly impacting various aspects of the disease. A search on PubMed …