Radiomics in breast cancer classification and prediction

A Conti, A Duggento, I Indovina, M Guerrisi… - Seminars in cancer …, 2021 - Elsevier
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …

Radiomics and deep learning in lung cancer

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 …

Beyond imaging: the promise of radiomics

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 …

Characterization of PET/CT images using texture analysis: the past, the present… any future?

M Hatt, F Tixier, L Pierce, PE Kinahan… - European journal of …, 2017 - Springer
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 …

[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications

R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
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 …

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy

A Oikonomou, F Khalvati, PN Tyrrell, MA Haider… - Scientific reports, 2018 - nature.com
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 …

Early-Stage Non–Small Cell Lung Cancer: Quantitative Imaging Characteristics of 18F Fluorodeoxyglucose PET/CT Allow Prediction of Distant …

J Wu, T Aguilera, D Shultz, M Gudur, DL Rubin… - Radiology, 2016 - pubs.rsna.org
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 …

PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology

M Sollini, L Cozzi, L Antunovic, A Chiti, M Kirienko - Scientific reports, 2017 - nature.com
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 …

Can radiomics features be reproducibly measured from CBCT images for patients with non‐small cell lung cancer?

X Fave, D Mackin, J Yang, J Zhang, D Fried… - Medical …, 2015 - Wiley Online Library
Purpose: Increasing evidence suggests radiomics features extracted from computed
tomography (CT) images may be useful in prognostic models for patients with nonsmall cell …

Development of an immune-pathology informed radiomics model for non-small cell lung cancer

C Tang, B Hobbs, A Amer, X Li, C Behrens… - Scientific reports, 2018 - nature.com
With increasing use of immunotherapy agents, pretreatment strategies for identifying
responders and non-responders is useful for appropriate treatment assignment. We …