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

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

European journal of radiology - 1 Jun 2021

Choe Jooae, Lee Sang Min, Kim Wooil, Do Kyung-Hyun, Kim Seonok, Choi Sehoon, Seo Joon Beom

Abstract excerpt

PURPOSE: To develop and validate a CT-based radiomic model to simultaneously diagnose anaplastic lymphoma kinase (ALK) rearrangements and epidermal growth factor receptor (EGFR) mutation status of lung adenocarcinoma and to assess whether peritumoural radiomic features add value in the prediction of mutation status. METHODS: 503 patients with pathologically proven lung adenocarcinoma containing information on the...

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 Anaplastic Lymphoma Kinase

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to ErbB Receptors

Share to Lung Neoplasms

Share to Mutation

Share to Tomography, X-Ray Computed

Source

Identifiers

PMID: 33862316
DOI: 10.1016/j.ejrad.2021.109710

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.PMID 33862316Read ↗

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

Role of intratumoral and peritumoral CT radiomics for the prediction of EGFR gene mutation in primary lung cancer.Semantic proximity Read ↗

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

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

Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma.Semantic proximity Read ↗

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

Tumoral and Peritumoral Radiomics for Preoperative Prediction of Visceral Pleural Invasion in Lung AdenocarcinomaSemantic proximity Read ↗

Value of intratumoral combined with peritumoral radiomics model in the prediction of Ki-67 expression in lung adenocarcinoma: a multi-center studySemantic 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 ↗

Accurate prediction of epidermal growth factor receptor mutation status in early-stage lung adenocarcinoma, using radiomics and clinical features.Semantic proximity Read ↗

A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.Semantic proximity Read ↗

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