{"title":"An MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer.","authors":"Ling Liu, Xiaodong Ji, Caihong Liang, Jinxia Zhu, Lixiang Huang, Yujiao Zhao, Xiangfeng Xu, Zhiyi Song, Wen Shen","doi":"10.1080/14796694.2024.2398984","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> This study aimed to explore the importance of an MRI-based radiomics nomogram in predicting the progression-free survival (PFS) of endometrial cancer.<b>Methods:</b> Based on clinicopathological and radiomic characteristics, we established three models (clinical, radiomics and combined model) and developed a nomogram for the combined model. The Kaplan-Meier method was utilized to evaluate the association between nomogram-based risk scores and PFS.<b>Results:</b> The nomogram had a strong predictive ability in calculating PFS with areas under the curve (ROC) of 0.905 and 0.901 at 1 and 3 years, respectively. The high-risk groups identified by the nomogram-based scores had shorter PFS compared with the low-risk groups.<b>Conclusion:</b> The radiomics nomogram has the potential to serve as a noninvasive imaging biomarker for predicting individual PFS of endometrial cancer.</p>","PeriodicalId":12672,"journal":{"name":"Future oncology","volume":" ","pages":"2895-2909"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14796694.2024.2398984","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: This study aimed to explore the importance of an MRI-based radiomics nomogram in predicting the progression-free survival (PFS) of endometrial cancer.Methods: Based on clinicopathological and radiomic characteristics, we established three models (clinical, radiomics and combined model) and developed a nomogram for the combined model. The Kaplan-Meier method was utilized to evaluate the association between nomogram-based risk scores and PFS.Results: The nomogram had a strong predictive ability in calculating PFS with areas under the curve (ROC) of 0.905 and 0.901 at 1 and 3 years, respectively. The high-risk groups identified by the nomogram-based scores had shorter PFS compared with the low-risk groups.Conclusion: The radiomics nomogram has the potential to serve as a noninvasive imaging biomarker for predicting individual PFS of endometrial cancer.
期刊介绍：
Future Oncology (ISSN 1479-6694) provides a forum for a new era of cancer care. The journal focuses on the most important advances and highlights their relevance in the clinical setting. Furthermore, Future Oncology delivers essential information in concise, at-a-glance article formats - vital in delivering information to an increasingly time-constrained community.
The journal takes a forward-looking stance toward the scientific and clinical issues, together with the economic and policy issues that confront us in this new era of cancer care. The journal includes literature awareness such as the latest developments in radiotherapy and immunotherapy, concise commentary and analysis, and full review articles all of which provide key findings, translational to the clinical setting.
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