[HTML][HTML] Radiogenomics: bridging imaging and genomics

Z Bodalal, S Trebeschi, TDL Nguyen-Kim, W Schats… - Abdominal …, 2019 - Springer
From diagnostics to prognosis to response prediction, new applications for radiomics are
rapidly being developed. One of the fastest evolving branches involves linking imaging …

Harnessing non-destructive 3D pathology

JTC Liu, AK Glaser, K Bera, LD True… - Nature biomedical …, 2021 - nature.com
High-throughput methods for slide-free three-dimensional (3D) pathological analyses of
whole biopsies and surgical specimens offer the promise of modernizing traditional …

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

S Wang, J Shi, Z Ye, D Dong, D Yu… - European …, 2019 - Eur Respiratory Soc
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such
as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification …

Deep learning–based image conversion of CT reconstruction kernels improves radiomics reproducibility for pulmonary nodules or masses

J Choe, SM Lee, KH Do, G Lee, JG Lee, SM Lee… - Radiology, 2019 - pubs.rsna.org
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics
seeks to assess tumor features to provide detailed imaging features. However, CT radiomic …

[HTML][HTML] A radiogenomic dataset of non-small cell lung cancer

S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou… - Scientific data, 2018 - nature.com
Medical image biomarkers of cancer promise improvements in patient care through
advances in precision medicine. Compared to genomic biomarkers, image biomarkers …

[HTML][HTML] A review of original articles published in the emerging field of radiomics

J Song, Y Yin, H Wang, Z Chang, Z Liu, L Cui - European journal of …, 2020 - Elsevier
Purpose To determine the characteristics of and trends in research in the emerging field of
radiomics through bibliometric and hotspot analyses of relevant original articles published …

Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT

X Ma, J Wei, D Gu, Y Zhu, B Feng, M Liang, S Wang… - European …, 2019 - Springer
Objectives To develop and validate a radiomics nomogram for preoperative prediction of
microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC). Methods The …

Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals

A Shabbir, M Shabbir, AR Javed… - … of Experimental & …, 2023 - Taylor & Francis
The proportion of COVID-19 patients is significantly expanding around the world. Treatment
with serious consideration has become a significant problem. Identifying clinical indicators of …

MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma

L Zhao, J Gong, Y Xi, M Xu, C Li, X Kang, Y Yin… - European …, 2020 - Springer
Objectives To establish and validate a radiomics nomogram for prediction of induction
chemotherapy (IC) response and survival in nasopharyngeal carcinoma (NPC) patients …

[HTML][HTML] 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 …