[HTML][HTML] Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research

A Stefano - Computers in Biology and Medicine, 2024 - Elsevier
Radiomics, the high-throughput extraction of quantitative imaging features from medical
images, holds immense potential for advancing precision medicine in oncology and beyond …

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) …

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 …

[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 …

Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer

M Ying, J Pan, G Lu, S Zhou, J Fu, Q Wang, L Wang… - BMC cancer, 2022 - Springer
Background Preoperative prediction of microsatellite instability (MSI) status in colorectal
cancer (CRC) patients is of great significance for clinicians to perform further treatment …

A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse …

V Benfante, A Stefano, A Comelli, P Giaccone… - Journal of …, 2022 - mdpi.com
The 64Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET)
imaging to evaluate its biodistribution in a murine model at different acquisition times. For …

Radiomics Analysis of Brain [18F]FDG PET/CT to Predict Alzheimer's Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM …

P Alongi, R Laudicella, F Panasiti, A Stefano, A Comelli… - Diagnostics, 2022 - mdpi.com
Background: Early in-vivo diagnosis of Alzheimer's disease (AD) is crucial for accurate
management of patients, in particular, to select subjects with mild cognitive impairment (MCI) …

Artificial intelligence for classifying the relationship between impacted third molar and mandibular canal on panoramic radiographs

A Lo Casto, G Spartivento, V Benfante, R Di Raimondo… - Life, 2023 - mdpi.com
The purpose of this investigation was to evaluate the diagnostic performance of two
convolutional neural networks (CNNs), namely ResNet-152 and VGG-19, in analyzing, on …

A new framework for precise identification of prostatic adenocarcinoma

SM Ayyad, MA Badawy, M Shehata, A Alksas… - Sensors, 2022 - mdpi.com
Prostate cancer, which is also known as prostatic adenocarcinoma, is an unconstrained
growth of epithelial cells in the prostate and has become one of the leading causes of …

Artificial Intelligence Applications on Restaging [18F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomics …

P Alongi, A Stefano, A Comelli, A Spataro, G Formica… - Applied Sciences, 2022 - mdpi.com
Featured Application Based on results defined in this study, new investigations might
propose morpho-functional-based radiomics algorithms for risk stratification with possible …