PET-derived radiomics and artificial intelligence in breast cancer: a systematic review

L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …

PET/CT and SPECT/CT imaging of HER2-positive breast cancer

J McGale, S Khurana, A Huang, T Roa, R Yeh… - Journal of clinical …, 2023 - mdpi.com
HER2 (Human Epidermal Growth Factor Receptor 2)-positive breast cancer is characterized
by amplification of the HER2 gene and is associated with more aggressive tumor growth …

Tumor microenvironment, radiology, and artificial intelligence: should we consider tumor periphery?

A Mohammadi… - … of Ultrasound in …, 2022 - Wiley Online Library
Objectives The tumor microenvironment (TME) consists of cellular and noncellular
components which enable the tumor to interact with its surroundings and plays an important …

[HTML][HTML] Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune …

F Tohidinezhad, D Bontempi, Z Zhang… - European Journal of …, 2023 - Elsevier
Introduction Immunotherapy-induced pneumonitis (IIP) is a serious side-effect which
requires accurate diagnosis and management with high-dose corticosteroids. The …

PET radiomics and response to immunotherapy in lung cancer: A systematic review of the literature

L Evangelista, F Fiz, R Laudicella, F Bianconi… - Cancers, 2023 - mdpi.com
Simple Summary The present review was performed in order to provide a comprehensive
overview of the existing literature concerning the applications of positron emission …

Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors' response in non-small cell lung cancer: a …

M Tonneau, K Phan, VSK Manem, C Low-Kam… - Frontiers in …, 2023 - frontiersin.org
Background Recent developments in artificial intelligence suggest that radiomics may
represent a promising non-invasive biomarker to predict response to immune checkpoint …

[18F] FDG PET-TC radiomics and machine learning in the evaluation of prostate incidental uptake

A Nieri, L Manco, M Bauckneht, L Urso… - Expert Review of …, 2023 - Taylor & Francis
Aim To evaluate the relevance of incidental prostate [18F] FDG uptake (IPU) and to explore
the potential of radiomics and machine learning (ML) to predict prostate cancer (PCa) …

The Value of Semiquantitative Parameters Derived from 18F-FDG PET/CT for Predicting Response to Neoadjuvant Chemotherapy in a Cohort of Patients with …

L Urso, L Evangelista, P Alongi, N Quartuccio… - Cancers, 2022 - mdpi.com
Simple Summary The aim of this study was to investigate whether baseline [18F]
Fluorodeoxyglucose ([18F] FDG) positron emission computed tomography/computed …

Defining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours

AM Holder, A Dedeilia, K Sierra-Davidson… - Nature Reviews …, 2024 - nature.com
Although more than a decade has passed since the approval of immune checkpoint
inhibitors (ICIs) for the treatment of melanoma and non-small-cell lung, breast and …

18F-Choline PET/CT or PET/MR and the evaluation of response to systemic therapy in prostate cancer: are we ready?

L Urso, F Lancia, N Ortolan, M Frapoli, M Rauso… - Clinical and …, 2022 - Springer
Purpose During the last decade,[18F] F-choline positron emission tomography (PET) had a
rising role in prostate cancer (PCa) imaging. However, despite auspicious premises,[18F] F …