[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges

Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou… - Theranostics, 2019 - ncbi.nlm.nih.gov
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

[HTML][HTML] Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

MR Chetan, FV Gleeson - European radiology, 2021 - Springer
Objectives Radiomics is the extraction of quantitative data from medical imaging, which has
the potential to characterise tumour phenotype. The radiomics approach has the capacity to …

[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

EJ Limkin, R Sun, L Dercle, EI Zacharaki, C Robert… - Annals of …, 2017 - Elsevier
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …

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 …

Novel HER2-targeting antibody-drug conjugates of trastuzumab beyond T-DM1 in breast cancer: trastuzumab deruxtecan (DS-8201a) and (Vic-) trastuzumab …

Z Xu, D Guo, Z Jiang, R Tong, P Jiang, L Bai… - European journal of …, 2019 - Elsevier
Targeted drug delivery has improved cancer treatment significantly in recent years, although
it is difficult to achieve. Different approaches have been developed to apply targeted drug …

[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 …

[HTML][HTML] 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 …

[HTML][HTML] Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to …

L Fournier, L Costaridou, L Bidaut, N Michoux… - European …, 2021 - Springer
Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …

Application of radiomics and artificial intelligence for lung cancer precision medicine

I Tunali, RJ Gillies… - Cold Spring …, 2021 - perspectivesinmedicine.cshlp.org
Medical imaging is the standard-of-care for early detection, diagnosis, treatment planning,
monitoring, and image-guided interventions of lung cancer patients. Most medical images …

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 …