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Erschienen in: European Radiology 2/2022

10.08.2021 | Oncology

Identification of predictors for brain metastasis in newly diagnosed non-small cell lung cancer: a single-center cohort study

verfasst von: Sohee Park, Sang Min Lee, Yura Ahn, Minjae Kim, Chong Hyun Suh, Kyung-Hyun Do, Joon Beom Seo

Erschienen in: European Radiology | Ausgabe 2/2022

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Abstract

Objectives

To identify clinical and staging chest CT characteristics predictive of brain metastasis in patients with newly diagnosed NSCLC dichotomized according to resectability.

Methods

Patients newly diagnosed with NSCLC of clinical stages II–IV between November 2017 and October 2018 were enrolled and classified into resectable (stage II+IIIA) and unresectable stages (stage IIIB/C+IV) according to chest CT. Associations of clinicopathological characteristics and CT findings with brain metastasis were analyzed using logistic regression. Predictive models were evaluated using receiver operating characteristics curve analysis. A subgroup analysis for unresectable-stage patients with known epidermal growth factor receptor gene (EGFR) mutation status was performed.

Results

This study included 911 NSCLC patients (mean age, 65 ± 11 years; 620 men), 194 of whom were diagnosed with brain metastasis. For resectable stages, independent predictors for brain metastasis were N2-stage (13 of 25 patients), absence of air-bronchogram/bubble lucency (23 of 25 patients), and presence of spiculation (15 of 25 patients), with a model combining the two imaging features showing an AUC of 0.723. In unresectable stages, independent predictors of brain metastasis were younger age, female sex, extrathoracic metastasis, and adenocarcinoma, with models combining these showing AUCs of 0.675–0.766. In the subgroup with known EGFR-mutation status, extrathoracic metastasis and positive EGFR mutation were independent predictors of brain metastasis, with the model showing AUCs of 0.641–0.732.

Conclusion

CT-derived imaging features, clinical stages, lung cancer subtype, and EGFR mutation were associated with brain metastasis in patients with newly diagnosed NSCLC. The predictors were completely different between resectable and unresectable stages.

Key Points

In resectable stages of NSCLC, two imaging features (absence of air-bronchogram/bubble lucency and presence of spiculation) and N2 stage were independent predictors of brain metastasis.
In unresectable stages of NSCLC, younger age, female sex, extrathoracic metastasis, and adenocarcinoma were associated with brain metastasis.
In the subgroup of NSCLC with known EGFR-mutation status, extrathoracic metastasis and positive EGFR mutation were independent predictors of brain metastasis.
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Metadaten
Titel
Identification of predictors for brain metastasis in newly diagnosed non-small cell lung cancer: a single-center cohort study
verfasst von
Sohee Park
Sang Min Lee
Yura Ahn
Minjae Kim
Chong Hyun Suh
Kyung-Hyun Do
Joon Beom Seo
Publikationsdatum
10.08.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 2/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-08215-y

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