AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Brain Science Advances Article
PDF (18.1 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Random forests to predict survival of octogenarians with brain metastases from nonsmall-cell lung cancer

Department of Neurosurgery, Yuquan Hospital, Tsinghua University, Beijing 100040, China
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
Show Author Information

Abstract

Background:

To create and validate nomograms for the personalized prediction of survival in octogenarians with newly diagnosed nonsmall-cell lung cancer (NSCLC) with sole brain metastases (BMs).

Methods:

Random forests (RF) were applied to identify independent prognostic factors for building nomogram models. The predictive accuracy of the model was evaluated based on the receiver operating characteristic (ROC) curve, C-index, and calibration plots.

Results:

The area under the curve (AUC) values for overall survival at 6, 12, and 18 months in the validation cohort were 0.837, 0.867, and 0.849, respectively; the AUC values for cancer-specific survival prediction were 0.819, 0.835, and 0.818, respectively. The calibration curves visualized the accuracy of the model.

Conclusion:

The new nomograms have good predictive power for survival among octogenarians with sole BMs related to NSCLC.

Keywords

octogenarianNSCLCbrain metastasesrandom forestsnomogram

References

【1】
【1】
 
 
Crossref Google Scholar
Brain Science Advances
Volume 10 Issue 1,
March 2024
Pages 38-55
DOI: 10.26599/BSA.2024.9050021

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Song L, Wang Y, Li X, et al. Random forests to predict survival of octogenarians with brain metastases from nonsmall-cell lung cancer. Brain Science Advances, 2024, 10(1): 38-55. https://doi.org/10.26599/BSA.2024.9050021

1370

Views

78

Downloads

1

Crossref
Received: 06 December 2023
Accepted: 08 January 2024
Published: 05 March 2024
© The authors 2023.

This article is published with open access at journals.sagepub.com/home/BSA

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).