Survival guided adaptive clustering enhances mortality risk stratification and radiotherapy guidance in early stage uterine sarcoma

Survival guided adaptive clustering enhances mortality risk stratification and radiotherapy guidance in early stage uterine sarcoma

Abstract Uterine sarcomas are rare and aggressive tumors with heterogeneous outcomes, making accurate risk stratification crucial for personalized treatment. This study introduced a novel semi-supervised clustering approach, survival-guided adaptive Kmeans (SGAKmeans), for enhanced mortality risk st...

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Bibliographic Details
Main Authors: Xue Zhou, Suzhen Yuan, Tianhui Li, Tuao Zhang, Wenwen Wang, Xin Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Uterine sarcoma
Risk stratification
Semi-supervised clustering
Adjuvant radiotherapy
Survival analysis
Prognosis
Online Access:https://doi.org/10.1038/s41598-025-13139-4
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https://doi.org/10.1038/s41598-025-13139-4

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