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

An Enhanced CT-based Radiomics Model for Predicting the Anaplastic Lymphoma Kinase Mutation Status in Lung Adenocarcinoma.

Current medical imaging - 1 Jan 2025

Zhang Zaixian, Zhang Taijuan, Ding Hui, Liu Shunli, Li Zhiming, Ge Yaqiong, Yang Lei

Abstract excerpt

INTRODUCTION: This study aimed to explore the relationship between radiomics features and anaplastic lymphoma kinase (ALK) gene mutation status in lung adenocarcinoma and to develop a radiomics nomogram for preoperative prediction of ALK mutations. METHODS: A retrospective analysis was conducted on 210 patients with histologically confirmed lung adenocarcinoma (50 ALK mutation-positive, 160 mutation-negative),...

Read the complete abstract on PubMed

Topics

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

Share to Adenocarcinoma of Lung
Share to Aged

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Anaplastic Lymphoma Kinase

Share to Lung Neoplasms

Share to Mutation

Share to Nomograms

Share to Radiomics

Share to Tomography, X-Ray Computed

Source

Open in PubMed Open full text

Identifiers

PMID: 40755095
DOI: 10.2174/0115734056376470250718053430
PMCID: PMC13223479

Genes

ALK
ITK

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An Enhanced CT-based Radiomics Model for Predicting the Anaplastic Lymphoma Kinase Mutation Status in Lung Adenocarcinoma.PMID 40755095Read ↗

CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.Semantic proximity Read ↗

Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid NoduleSemantic proximity Read ↗

Using CT image-based radiomics to predict EGFR mutations in lung adenocarcinomaSemantic proximity Read ↗

A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.Semantic proximity Read ↗

The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung AdenocarcinomaSemantic proximity Read ↗

The Predictive Value of 18F-FDG PET/CT Radiomics in EGFR Gene Mutation of Lung Adenocarcinoma.Semantic proximity Read ↗

Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinomaSemantic proximity Read ↗

Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer.Semantic proximity Read ↗

Radiomic and clinical predictors of epidermal growth factor receptor mutation in stage IA non-small cell lung cancer.Semantic proximity Read ↗

Radiomic Detection of EGFR Mutations in NSCLC.Semantic proximity Read ↗

CT-based non-invasive identification of the most common gene mutation status in patients with non-small cell lung cancer.Semantic proximity Read ↗

Application value of CT radiomic nomogram in predicting T790M mutation of lung adenocarcinoma.Semantic proximity Read ↗

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