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Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma

BACKGROUND: This study aims to establish an integrated model based on clinical, laboratory, radiological, and pathological factors to predict the postoperative recurrence of atypical meningioma (AM). MATERIALS AND METHODS: A retrospective study of 183 patients with AM was conducted. Patients were ra...

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Autores principales: Chen, Xiao-Yong, Chen, Jin-Yuan, Huang, Yin-Xing, Xu, Jia-Heng, Sun, Wei-Wei, Chen, Yue-, Ding, Chen-Yu, Wang, Shuo-Bin, Wu, Xi-Yue, Kang, De-Zhi, You, Hong-Hai, Lin, Yuan-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529147/
https://www.ncbi.nlm.nih.gov/pubmed/34692542
http://dx.doi.org/10.3389/fonc.2021.754937
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author Chen, Xiao-Yong
Chen, Jin-Yuan
Huang, Yin-Xing
Xu, Jia-Heng
Sun, Wei-Wei
Chen, Yue-
Ding, Chen-Yu
Wang, Shuo-Bin
Wu, Xi-Yue
Kang, De-Zhi
You, Hong-Hai
Lin, Yuan-Xiang
author_facet Chen, Xiao-Yong
Chen, Jin-Yuan
Huang, Yin-Xing
Xu, Jia-Heng
Sun, Wei-Wei
Chen, Yue-
Ding, Chen-Yu
Wang, Shuo-Bin
Wu, Xi-Yue
Kang, De-Zhi
You, Hong-Hai
Lin, Yuan-Xiang
author_sort Chen, Xiao-Yong
collection PubMed
description BACKGROUND: This study aims to establish an integrated model based on clinical, laboratory, radiological, and pathological factors to predict the postoperative recurrence of atypical meningioma (AM). MATERIALS AND METHODS: A retrospective study of 183 patients with AM was conducted. Patients were randomly divided into a training cohort (n = 128) and an external validation cohort (n = 55). Univariable and multivariable Cox regression analyses, the least absolute shrinkage and selection operator (LASSO) regression analysis, time-dependent receiver operating characteristic (ROC) curve analysis, and evaluation of clinical usage were used to select variables for the final nomogram model. RESULTS: After multivariable Cox analysis, serum fibrinogen >2.95 g/L (hazard ratio (HR), 2.43; 95% confidence interval (CI), 1.05–5.63; p = 0.039), tumor located in skull base (HR, 6.59; 95% CI, 2.46-17.68; p < 0.001), Simpson grades III–IV (HR, 2.73; 95% CI, 1.01–7.34; p = 0.047), tumor diameter >4.91 cm (HR, 7.10; 95% CI, 2.52–19.95; p < 0.001), and mitotic level ≥4/high power field (HR, 2.80; 95% CI, 1.16–6.74; p = 0.021) were independently associated with AM recurrence. Mitotic level was excluded after LASSO analysis, and it did not improve the predictive performance and clinical usage of the model. Therefore, the other four factors were integrated into the nomogram model, which showed good discrimination abilities in training cohort (C-index, 0.822; 95% CI, 0.759–0.885) and validation cohort (C-index, 0.817; 95% CI, 0.716–0.918) and good match between the predicted and observed probability of recurrence-free survival. CONCLUSION: Our study established an integrated model to predict the postoperative recurrence of AM.
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spelling pubmed-85291472021-10-22 Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma Chen, Xiao-Yong Chen, Jin-Yuan Huang, Yin-Xing Xu, Jia-Heng Sun, Wei-Wei Chen, Yue- Ding, Chen-Yu Wang, Shuo-Bin Wu, Xi-Yue Kang, De-Zhi You, Hong-Hai Lin, Yuan-Xiang Front Oncol Oncology BACKGROUND: This study aims to establish an integrated model based on clinical, laboratory, radiological, and pathological factors to predict the postoperative recurrence of atypical meningioma (AM). MATERIALS AND METHODS: A retrospective study of 183 patients with AM was conducted. Patients were randomly divided into a training cohort (n = 128) and an external validation cohort (n = 55). Univariable and multivariable Cox regression analyses, the least absolute shrinkage and selection operator (LASSO) regression analysis, time-dependent receiver operating characteristic (ROC) curve analysis, and evaluation of clinical usage were used to select variables for the final nomogram model. RESULTS: After multivariable Cox analysis, serum fibrinogen >2.95 g/L (hazard ratio (HR), 2.43; 95% confidence interval (CI), 1.05–5.63; p = 0.039), tumor located in skull base (HR, 6.59; 95% CI, 2.46-17.68; p < 0.001), Simpson grades III–IV (HR, 2.73; 95% CI, 1.01–7.34; p = 0.047), tumor diameter >4.91 cm (HR, 7.10; 95% CI, 2.52–19.95; p < 0.001), and mitotic level ≥4/high power field (HR, 2.80; 95% CI, 1.16–6.74; p = 0.021) were independently associated with AM recurrence. Mitotic level was excluded after LASSO analysis, and it did not improve the predictive performance and clinical usage of the model. Therefore, the other four factors were integrated into the nomogram model, which showed good discrimination abilities in training cohort (C-index, 0.822; 95% CI, 0.759–0.885) and validation cohort (C-index, 0.817; 95% CI, 0.716–0.918) and good match between the predicted and observed probability of recurrence-free survival. CONCLUSION: Our study established an integrated model to predict the postoperative recurrence of AM. Frontiers Media S.A. 2021-10-07 /pmc/articles/PMC8529147/ /pubmed/34692542 http://dx.doi.org/10.3389/fonc.2021.754937 Text en Copyright © 2021 Chen, Chen, Huang, Xu, Sun, Chen, Ding, Wang, Wu, Kang, You and Lin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Xiao-Yong
Chen, Jin-Yuan
Huang, Yin-Xing
Xu, Jia-Heng
Sun, Wei-Wei
Chen, Yue-
Ding, Chen-Yu
Wang, Shuo-Bin
Wu, Xi-Yue
Kang, De-Zhi
You, Hong-Hai
Lin, Yuan-Xiang
Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title_full Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title_fullStr Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title_full_unstemmed Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title_short Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma
title_sort establishment and validation of an integrated model to predict postoperative recurrence in patients with atypical meningioma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529147/
https://www.ncbi.nlm.nih.gov/pubmed/34692542
http://dx.doi.org/10.3389/fonc.2021.754937
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