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

Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma.

La Radiologia medica - 1 Dec 2023

Shang Youlan, Chen Weidao, Li Ge, Huang Yijie, Wang Yisong, Kui Xiaoyan, Li Ming, Zheng Hairong, Zhao Wei, Liu Jun

Abstract excerpt

OBJECTIVE: To investigate the value of Computed Tomography (CT) radiomics derived from different peritumoral volumes of interest (VOIs) in predicting epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients. MATERIALS AND METHODS: A retrospective cohort of 779 patients who had pathologically confirmed lung adenocarcinoma were enrolled. 640 patients were randomly divided into a...

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 ErbB Receptors

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lung Neoplasms

Share to Mutation

Share to Random Allocation

Share to Tomography, X-Ray Computed

Source

Open in PubMed Open full text

Identifiers

PMID: 37749461
DOI: 10.1007/s11547-023-01722-6
PMCID: PMC10700425

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma.PMID 37749461Read ↗

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

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

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

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

Prediction of EGFR mutation status in non-small cell lung cancer based on multiparametric MRI radiomics.Semantic 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 ↗

Prediction of EGFR Mutation Status in Non-small Cell Lung Cancer Based on Multiparametric MRI RadiomicsSemantic proximity Read ↗

Intratumoral and Peritumoral CT-Based Radiomics Strategy Reveals Distinct Subtypes of Nonsmall-Cell Lung CancerSemantic proximity Read ↗

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

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

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

Peritumoural MRI radiomics signature of brain metastases can predict epidermal growth factor receptor mutation status in lung adenocarcinoma.Semantic proximity Read ↗

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