The biological meaning of radiomic features
Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …
from radiologic imaging. Radiomics can be used to predict patient outcome through …
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective …
Background Because responses of patients with cancer to immunotherapy can vary in
success, innovative predictors of response to treatment are urgently needed to improve …
success, innovative predictors of response to treatment are urgently needed to improve …
[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 …
features from medical images, thus converting these digital images into minable, high …
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer
No predictive biomarkers can robustly identify patients with non–small cell lung cancer
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …
[HTML][HTML] Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer
Background The tumor immune microenvironment can provide prognostic and predictive
information. A previously validated ImmunoScore of Gastric Cancer (IS GC) evaluates both …
information. A previously validated ImmunoScore of Gastric Cancer (IS GC) evaluates both …
[HTML][HTML] Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …
association between tumor size and outcome that currently forms the basis for imaging …
Artificial intelligence in lung cancer imaging: unfolding the future
M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …
an essential role in each phase of lung cancer management, from detection to assessment …
Facts and hopes on the use of artificial intelligence for predictive immunotherapy biomarkers in cancer
Immunotherapy by immune checkpoint inhibitors has become a standard treatment strategy
for many types of solid tumors. However, the majority of patients with cancer will not …
for many types of solid tumors. However, the majority of patients with cancer will not …
Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
W Kang, X Qiu, Y Luo, J Luo, Y Liu, J **, X Li… - Journal of Translational …, 2023 - Springer
The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …
given rise to the prominence of the tumor microenvironment (TME) as a critical area of …