[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges

Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou… - Theranostics, 2019 - ncbi.nlm.nih.gov
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Radiomics in prostate cancer: An up-to-date review

M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Prostate cancer radiogenomics—from imaging to molecular characterization

M Ferro, O de Cobelli, MD Vartolomei… - International Journal of …, 2021 - mdpi.com
Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Artificial intelligence based algorithms for prostate cancer classification and detection on magnetic resonance imaging: a narrative review

JJ Twilt, KG van Leeuwen, HJ Huisman, JJ Fütterer… - Diagnostics, 2021 - mdpi.com
Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa)
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …

Prostate MRI radiomics: a systematic review and radiomic quality score assessment

A Stanzione, M Gambardella, R Cuocolo… - European journal of …, 2020 - Elsevier
Background Radiomics have the potential to further increase the value of MRI in prostate
cancer management. However, implementation in clinical practice is still far and concerns …

Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a …

N Sushentsev, N Moreira Da Silva, M Yeung… - Insights into …, 2022 - Springer
Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

[HTML][HTML] Radiomics in prostate cancer imaging for a personalized treatment approach-current aspects of methodology and a systematic review on validated studies

SKB Spohn, AS Bettermann, F Bamberg… - Theranostics, 2021 - ncbi.nlm.nih.gov
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …

Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis

R Cuocolo, MB Cipullo, A Stanzione, V Romeo… - European …, 2020 - Springer
Objectives The aim of this study was to systematically review the literature and perform a
meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically …

Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI

E Bertelli, L Mercatelli, C Marzi, E Pachetti… - Frontiers in …, 2022 - frontiersin.org
Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …

A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …