Evidence map›Paper›PMID 41872421›Full record

ArticleJournal of neuro-oncology2026

Perioperative risk stratification after resection of brain metastases: internal development and validation of the dominant lesion surgery score in a 20-year single-center cohort.

Hasan Ali Aydın, Emrah Keskin, Murat Kalaycı

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Article in Journal of neuro-oncology, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hasan Ali AydınDepartment of Neurosurgery, School of Medicine, Zonguldak Bülent Ecevit University, Zonguldak, 67600, Türkiye. drhasanaliaydin@gmail.com.
Emrah KeskinDepartment of Neurosurgery, School of Medicine, Zonguldak Bülent Ecevit University, Zonguldak, 67600, Türkiye.
Murat KalaycıDepartment of Neurosurgery, School of Medicine, Zonguldak Bülent Ecevit University, Zonguldak, 67600, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether intracranial lesion count remains associated with survival after resection of brain metastases and to develop an internally validated perioperative risk-stratification model for early mortality in a surgically treated cohort.

methodsWe conducted a retrospective single-center cohort study of adults who underwent surgical resection for histologically confirmed brain metastases between 2002 and 2024. Overall survival was analyzed using Kaplan–Meier methods and multivariable Cox regression. The Dominant Lesion Surgery Score (DLSS) was derived from variables available during the perioperative period that were associated with early mortality and was evaluated for 6- and 12-month mortality using receiver operating characteristic analysis. Internal validation was performed with bootstrap resampling, and model performance was further assessed using calibration and decision-curve analysis.

resultsAmong 189 surgically treated patients, lesion count was not the strongest variable associated with survival after multivariable adjustment, whereas extent of resection and histology-defined tumor subtype showed stronger associations within this selected cohort. DLSS demonstrated moderate discrimination for 6- and 12-month mortality, with stable optimism-corrected performance after bootstrap validation. Calibration analysis showed acceptable agreement between predicted and observed mortality. Decision-curve analysis suggested potential net benefit across clinically relevant threshold probabilities. A DLSS cutoff of ≥ 2 identified a subgroup with higher 12-month mortality.

conclusionAmong surgically treated patients with brain metastases, lesion count alone may be insufficient to characterize postoperative risk. DLSS should be regarded as an exploratory internally derived model for perioperative risk stratification rather than a standalone tool for treatment selection, and external validation is required before broader clinical use.

Indexed as

Brain NeoplasmsNeurosurgical ProceduresAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentBrain metastasesDecision-curve analysisPrognostic modelingRisk stratificationSurgical resection

Identifiers

PMID41872421
PMCPMC13009028

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