Evidence map›Paper›PMID 41777499›Full record

ArticleNoro psikiyatri arsivi2026

Characteristics of Brain Metastases Identified by PET-CT Imaging in Patients with Lung Cancer.

Çetin Yakışık, Celal Satıcı, Sinem Nedime Sökücü, Ayşegül Erinç, Reşit Akyel, Şenay Aydın

Abstract read
In one paragraph

Article in Noro psikiyatri arsivi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Çetin YakışıkUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Pulmonology, İstanbul, Türkiye.
Celal SatıcıUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Pulmonology, İstanbul, Türkiye.
Sinem Nedime SökücüUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Pulmonology, İstanbul, Türkiye.
Ayşegül ErinçUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Pulmonology, İstanbul, Türkiye.
Reşit AkyelUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Nuclear Medicine, İstanbul, Türkiye.
Şenay AydınUniversity of Health Sciences, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Department of Neurology, İstanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Contrast enhanced magnetic resonance imaging (MRI) could not be performed in all patients due to some contraindications. We aimed to demonstrate the characteristics of brain metastases that could be diagnosed with positron emission tomography - computed tomography (PET-CT) among patients with lung cancer. Methods: Four hundred thirty nine patients diagnosed with lung cancer and brain metastasis between 2019 and 2023 were evaluated. A total of 642 brain metastasis lesions were identified, of which 286 were detectable on PET-CT. Univariate and multivariate logistic regression analyses were used to identify independent predictors of PET-CT positivity. Results: Out of all patients, 86.6% were male and the mean ± SD age was 64.8±9.3. Comorbidities were present in 205 patients (46.7%), with chronic obstructive pulmonary disease (COPD) being the most prevalent (27.1%). The majority of metastases were located in the frontal lobe (37.2%) followed by the parietal lobe (26.6%). Notably, PET-CT negative lesions were more likely to have peritumoral edema than PET-CT positive lesions had (67% vs. 56%, p=0.004). The median tumor diameter for PET-CT positive lesions was larger than PET-CT negative lesions (18 vs 10 mm, p<0.001). The discriminative accuracy of tumor diameter in predicting PET-CT positivity was found to be high, with an area under the curve (AUC) of 0.70 (95% CI: 0.65 to 0.73). For an optimal cut-off value of 14 mm, sensitivity of tumor diameter was 71.68% and specificity was 58.71. Conclusion: Brain metastases larger than 14 mm and those without peritumoral edema tend to have increased detectability with PET-CT in a large group of lung cancer patients. Since the diagnostic role of PET-CT could not be fully analyzed due to the study design, further research including patients without brain metastases is recommended.

Indexed as

Brain metastasislung cancermagnetic resonance imagingpositron emission tomography - computed tomography

Identifiers

PMID41777499
PMCPMC12951511

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