Clinically Available and Reproducible Prediction Models for IDH and CDKN2A/B Gene Status in Adult-type Diffuse Gliomas.

Autor:	Zhu M; Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China (M.Z., F.H., J.G., J.Y., J.Z.)., Han F; Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China (M.Z., F.H., J.G., J.Y., J.Z.)., Gao J; Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China (M.Z., F.H., J.G., J.Y., J.Z.)., Yang J; Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China (M.Z., F.H., J.G., J.Y., J.Z.)., Yin L; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China (L.Y.)., Du Z; Department of Pathology, Huashan Hospital, Fudan University, Shanghai 200040, China (Z.D.)., Zhang J; Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China (M.Z., F.H., J.G., J.Y., J.Z.). Electronic address: zhangjw2000@126.com.
Jazyk:	angličtina
Zdroj:	Academic radiology [Acad Radiol] 2024 Dec; Vol. 31 (12), pp. 5164-5174. Date of Electronic Publication: 2024 Jun 29.
DOI:	10.1016/j.acra.2024.06.020
Abstrakt:	Purpose: Isocitrate dehydrogenase (IDH) and cyclin-dependent kinase inhibitor (CDKN) 2A/B status holds important prognostic value in diffuse gliomas. We aimed to construct prediction models using clinically available and reproducible characteristics for predicting IDH-mutant and CDKN2A/B homozygous deletion in adult-type diffuse glioma patients. Materials and Methods: This retrospective, two-center study analysed 272 patients with adult-type diffuse glioma (230 for primary cohort and 42 for external validation cohort). Two radiologists independently assessed the patients' images according to the Visually AcceSAble Rembrandt Images (VASARI) feature set. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimise variable selection. Multivariable logistic regression analysis was used to develop the prediction models. Calibration plots, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA) were used to validate the models. Nomograms were developed visually based on the prediction models. Results: The interobserver agreement between the two radiologists for VASARI features was excellent (κ range, 0.813-1). For the IDH-mutant prediction model, the area under the curves (AUCs) was 0.88-0.96 in the internal and external validation sets, For the CDKN2A/B homozygous deletion model, the AUCs were 0.80-0.86 in the internal and external validation sets. The decision curves show that both prediction models had good net benefits. Conclusion: The prediction models which basing on VASARI and clinical features provided a reliable and clinically meaningful preoperative prediction for IDH and CDKN2A/B status in diffuse glioma patients. These findings provide a foundation for precise preoperative non-invasive diagnosis and personalised treatment approaches for adult-type diffuse glioma patients. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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