A deep look into radiomics

C Scapicchio, M Gabelloni, A Barucci, D Cioni… - La radiologia …, 2021‏ - Springer
Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …

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 …

[HTML][HTML] Advancements in mri-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects

A Chaddad, G Tan, X Liang, L Hassan, S Rathore… - Cancers, 2023‏ - mdpi.com
Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

MRI-guided adaptive radiotherapy for liver tumours: visualising the future

JS Witt, SA Rosenberg, MF Bassetti - The Lancet Oncology, 2020‏ - thelancet.com
MRI-guided radiotherapy is a novel and rapidly evolving technology that might enhance the
risk–benefit ratio. Through direct visualisation of the tumour and the nearby healthy tissues …

The cancer multidisciplinary team meeting: in need of change? History, challenges and future perspectives

DA Winters, T Soukup, N Sevdalis, JSA Green… - BJU …, 2021‏ - Wiley Online Library
Two decades since their inception, multidisciplinary teams (MDTs) are widely regarded as
the 'gold standard'of cancer care delivery. Benefits of MDT working include improved patient …

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 …

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… - …, 2021‏ - pmc.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 …

[HTML][HTML] Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning …

I Bhattacharya, A Seetharaman, C Kunder, W Shao… - Medical image …, 2022‏ - Elsevier
Automated methods for detecting prostate cancer and distinguishing indolent from
aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis …