Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Estimation of an Image Biomarker for Distant Recurrence Prediction in NSCLC Using Proliferation-Related Genes

1 Feb 2023

Abstract excerpt

This study aimed to identify a distant-recurrence image biomarker in NSCLC by investigating correlations between heterogeneity functional gene expression and fluorine-18-2-fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) image features of NSCLC patients. RNA-sequencing data and 18F-FDG PET images of 53 patients with NSCLC (19 with distant recurrence and 34 without recurrence) from The Cancer...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Colorectal Cancer Treatments and Studies
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36769108
DOI: 10.3390/ijms24032794

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Estimation of an Image Biomarker for Distant Recurrence Prediction in NSCLC Using Proliferation-Related GenesPMID 36769108Read ↗

A metastasis prediction model in non-small cell lung cancer using GLCM_contrast and epithelial mesenchymal transition related genesSemantic proximity Read ↗

Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.Semantic proximity Read ↗

Estimation of 18F-FDG PET Image Texture Features for Metastasis Prediction in Non-Small Cell Lung Cancer Using Epithelial Mesenchymal Transition-Related GenesSemantic proximity Read ↗

Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy.Semantic proximity Read ↗

Establishment and Validation of a Nomogram with Intratumoral Heterogeneity Derived from 18F-FDG PET/CT for Predicting Individual Conditional Risk of 5-Year Recurrence before Initial Treatment of Nasopharyngeal CarcinomaSemantic proximity Read ↗

IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretabilitySemantic proximity Read ↗

Prediction of non-small cell lung cancer N2 metastasis using HIF-1α expression–related multicenter 18 F-FDG PET/CT radiomicsSemantic proximity Read ↗

A molecule based nomogram optimized the prediction of relapse in stage I NSCLCSemantic proximity Read ↗

An integrated multimodal model for early prediction of high-risk recurrence phenotype indicative of poor disease-free survival in stage IA NSCLC: a multicenter study.Semantic proximity Read ↗

Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescenceSemantic proximity Read ↗

Prediction of Recurrence Patterns in Glioblastoma Using DSC-MRI Radiomics-Based Deep LearningSemantic proximity Read ↗

A Multimodal Neural Network Model for Early Recurrence Prediction in Lung AdenocarcinomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.