Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics

V Liberini, R Laudicella, M Balma, DG Nicolotti… - European radiology …, 2022 - Springer
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Clinical application of AI-based PET images in oncological patients

J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

Matradiomics: A novel and complete radiomics framework, from image visualization to predictive model

G Pasini, F Bini, G Russo, A Comelli, F Marinozzi… - Journal of …, 2022 - mdpi.com
Radiomics aims to support clinical decisions through its workflow, which is divided into:(i)
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …

[HTML][HTML] Application of Artificial intelligence in oncologic molecular PET-imaging: a narrative review on beyond [18F] F-FDG tracers-part I. PSMA, choline, and DOTA …

SA Mirshahvalad, R Eisazadeh… - Seminars in Nuclear …, 2024 - Elsevier
Artificial intelligence (AI) has evolved significantly in the past few decades. This thriving
trend has also been seen in medicine in recent years, particularly in the field of imaging …

Robustness of pet radiomics features: Impact of co-registration with mri

A Stefano, A Leal, S Richiusa, P Trang, A Comelli… - Applied Sciences, 2021 - mdpi.com
Featured Application The study proposes an analysis of the robustness of Positron Emission
Tomography (PET) radiomics features after PET image co-registration with two different …

Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different …

F Yao, S Bian, D Zhu, Y Yuan, K Pan, Z Pan, X Feng… - La radiologia …, 2022 - Springer
Background PET-based radiomics features could predict the biological characteristics of
primary prostate cancer (PCa). However, the optimal thresholds to predict the biological …

Customized efficient neural network for COVID-19 infected region identification in CT images

A Stefano, A Comelli - Journal of Imaging, 2021 - mdpi.com
Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …

Radiomics for identification and prediction in metastatic prostate cancer: a review of studies

J Kendrick, R Francis, GM Hassan… - Frontiers in …, 2021 - frontiersin.org
Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa
spreads throughout the body, often to bones, with spatial and temporal variations that make …

[68Ga]DOTATOC PET/CT Radiomics to Predict the Response in GEP-NETs Undergoing [177Lu]DOTATOC PRRT: The “Theragnomics” Concept

R Laudicella, A Comelli, V Liberini, A Vento, A Stefano… - Cancers, 2022 - mdpi.com
Simple Summary The radiological response assessment of neuroendocrine tumors (NET) to
peptide receptor radionuclide therapy (PRRT) using [177Lu] DOTATOC is still suboptimal …

Phenotyping the histopathological subtypes of non-small-cell lung carcinoma: how beneficial is radiomics?

G Pasini, A Stefano, G Russo, A Comelli, F Marinozzi… - Diagnostics, 2023 - mdpi.com
The aim of this study was to investigate the usefulness of radiomics in the absence of well-
defined standard guidelines. Specifically, we extracted radiomics features from multicenter …