M Avanzo, J Stancanello, G Pirrone… - Strahlentherapie und …, 2020 - Springer
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on …
M Avanzo, J Stancanello, I El Naqa - Physica Medica, 2017 - Elsevier
The domain of investigation of radiomics consists of large-scale radiological image analysis and association with biological or clinical endpoints. The purpose of the present study is to …
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has received increasing …
Lung cancer is the second most common cancer and the leading cause of cancer-related death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
We sought to quantify contribution of radiomics and SUVmax at PET/CT to predict clinical outcome in lung cancer patients treated with stereotactic body radiotherapy (SBRT). 150 …
Purpose To identify quantitative imaging biomarkers at fluorine 18 (18F) positron emission tomography (PET) for predicting distant metastasis in patients with early-stage non–small …
Imaging with positron emission tomography (PET)/computed tomography (CT) is crucial in the management of cancer because of its value in tumor staging, response assessment …
Purpose: Increasing evidence suggests radiomics features extracted from computed tomography (CT) images may be useful in prognostic models for patients with nonsmall cell …
With increasing use of immunotherapy agents, pretreatment strategies for identifying responders and non-responders is useful for appropriate treatment assignment. We …