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… - …, 2019‏ - pmc.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 …

Radiomics: from qualitative to quantitative imaging

W Rogers, S Thulasi Seetha… - The British journal of …, 2020‏ - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …

[HTML][HTML] Introduction to radiomics for a clinical audience

C McCague, S Ramlee, M Reinius, I Selby, D Hulse… - Clinical Radiology, 2023‏ - Elsevier
Radiomics is a rapidly develo** field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …

Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights

SJ Sujit, M Aminu, TV Karpinets, P Chen… - Nature …, 2024‏ - nature.com
While we recognize the prognostic importance of clinicopathological measures and
circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers …

Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

A Zwanenburg - European journal of nuclear medicine and molecular …, 2019‏ - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

Radiomics and artificial intelligence in lung cancer screening

F Binczyk, W Prazuch, P Bozek… - … lung cancer research, 2021‏ - pmc.ncbi.nlm.nih.gov
Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …

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 …

Radiomics-based prognosis analysis for non-small cell lung cancer

Y Zhang, A Oikonomou, A Wong, MA Haider… - Scientific reports, 2017‏ - nature.com
Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …

Radiomics on gadoxetic acid–enhanced magnetic resonance imaging for prediction of postoperative early and late recurrence of single hepatocellular carcinoma

S Kim, J Shin, DY Kim, GH Choi, MJ Kim… - Clinical Cancer …, 2019‏ - aacrjournals.org
Purpose: To evaluate the usefulness of the radiomic model in predicting early (≤ 2 years)
and late (> 2 years) recurrence after curative resection in cases involving a single …

Pretreatment 18F-FDG PET/CT radiomics predict local recurrence in patients treated with stereotactic body radiotherapy for early-stage non–small cell lung cancer: a …

G Dissaux, D Visvikis, R Da-Ano… - Journal of Nuclear …, 2020‏ - jnm.snmjournals.org
The aim of this retrospective multicentric study was to develop and evaluate a prognostic
18F-FDG PET/CT radiomic signature in early-stage non–small cell lung cancer patients …