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Development and validation of a ^18^F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study by Liu, Huiling (author);Cui, Yongbin (author);Chang, Cheng (author);Zhou, Zichun (author);Zhang, Yalin (author);Ma, Changsheng (author);Yin, Yong (author);Wang, Ruozheng (author) is a Medicine article available to read on EtoBox.

What is Development and validation of a ^18^F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study about?

## Background The existing staging system cannot meet the needs of accurate survival prediction. Accurate survival prediction for locally advanced cervical cancer (LACC) patients who have undergone concurrent radiochemotherapy (CCRT) can improve their treatment management. Thus, this present study aimed to develop and validate radiomics models based on pretreatment ^18^Fluorine-fluorodeoxyglucose (^18^F-FDG) positron emission tomography (PET)-computed tomography (CT) images to accurately predict the prognosis in patients. ## Methods The data from 190 consecutive patients with LACC who underwent pretreatment ^18^F-FDG PET-CT and CCRT at two cancer hospitals were retrospectively analyzed; 176 patients from the same hospital were randomly divided into training (__n__ = 117) and internal validation (__n__ = 50) cohorts. Clinical features were selected from the training cohort using univariate and multivariate Cox proportional hazards models; radiomic features were extracted from PET and CT images and filtered using least absolute shrinkage and selection operator and Cox proportional hazard regression. Three prediction models and a nomogram were then constructed using the previously sel

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Author
Liu, Huiling (author);Cui, Yongbin (author);Chang, Cheng (author);Zhou, Zichun (author);Zhang, Yalin (author);Ma, Changsheng (author);Yin, Yong (author);Wang, Ruozheng (author)
Publisher
Springer Science and Business Media LLC
Published
2024
Language
EN
Field
Medicine (Health Sciences)

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