Association between contrast-enhanced computed tomography radiomic features, genomic alterations and prognosis in advanced lung adenocarcinoma patients

L Rinaldi, E Guerini Rocco, G Spitaleri, S Raimondi… - Cancers, 2023 - mdpi.com
Simple Summary The introduction of targeted therapy has completely changed the treatment
options for patients with advanced non-small cell lung cancer (NSCLC). Non-invasive …

[HTML][HTML] FDG PET and CT radiomics in diagnosis and prognosis of non-small-cell lung cancer

P Hannequin, C Decroisette, P Kermanach… - Translational Lung …, 2022 - ncbi.nlm.nih.gov
Background 18 F-FDG PET and CT radiomics has been the object of a wide research for
over 20 years but its contribution to clinical practice remains not yet well established. We …

Three-dimensional printing of patient-specific computed tomography lung phantoms: a reader study

N Shapira, K Donovan, K Mei, M Geagan… - PNAS …, 2023 - academic.oup.com
In modern clinical decision-support algorithms, heterogeneity in image characteristics due to
variations in imaging systems and protocols hinders the development of reproducible …

More than Meets the Eye: Integration of Radiomics with Transcriptomics for Reconstructing the Tumor Microenvironment and Predicting Response to Therapy

S Logotheti, AG Georgakilas - Cancers, 2023 - mdpi.com
For over a decade, large cancer-related datasets (big data) have continuously been
produced and made publicly available to the scientific community. A current challenge is …

Prognostic nomogram combining 18F-FDG PET/CT radiomics and clinical data for stage III NSCLC survival prediction

Y Zhang, Y Cui, H Liu, C Chang, Y Yin, R Wang - Scientific Reports, 2024 - nature.com
The aim of this study was to establish and validate the precision of a novel radiomics
approach that integrates 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission …

Research progress of radiomics and artificial intelligence in lung cancer

X Wang, W Huang, J Zhao, S Xu, S Chen… - Chinese Journal of …, 2023 - Springer
In recent years, the incidence of respiratory diseases has remained high due to
environmental pollution, smoking and the ageing population. The incidence and mortality of …

Radiomics-clinical AI model with probability weighted strategy for prognosis prediction in non-small cell lung cancer

FH Tang, YW Fong, SH Yung, CK Wong, CL Tu… - Biomedicines, 2023 - mdpi.com
In this study, we propose a radiomics clinical probability-weighted model for the prediction of
prognosis for non-small cell lung cancer (NSCLC). The model combines radiomics features …

Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules

C Huchthausen, M Shi, GLA de Sousa, J Colen… - arXiv preprint arXiv …, 2024 - arxiv.org
BACKGROUND: Radiomics provides quantitative features of pulmonary nodules (PNs)
which could aid lung cancer diagnosis, but medical image acquisition variability is an …

PixelPrint: Three-dimensional printing of realistic patient-specific lung phantoms for validation of computed tomography post-processing and inference algorithms

N Shapira, K Donovan, K Mei, M Geagan, L Roshkovan… - medRxiv, 2022 - medrxiv.org
Background Radiomics and other modern clinical decision-support algorithms are emerging
as the next frontier for diagnostic and prognostic medical imaging. However, heterogeneities …

MYH16 upregulation is associated with lung adenocarcinoma aggressiveness and immune infiltration

L Zhang, J Liu, H Wang, Z Xu, Y Wang… - … of Biochemical and …, 2023 - Wiley Online Library
Abstract Myosin heavy chain 16 (MYH16) may significantly affect cell cycle progression.
Nevertheless, there is a lack of evidence about the clinical relevance of MYH16 upregulation …