Abstract
Objectives
To identify a CT-based radiomics nomogram for survival prediction in patients with resected pancreatic ductal adenocarcinoma (PDAC).
Methods
A total of 220 patients (training cohort n = 147; validation cohort n = 73) with PDAC were enrolled. A total of 300 radiomics features were extracted from CT images. And the least absolute shrinkage and selection operator algorithm were applied to select features and develop a radiomics score (Rad-score). The radiomics nomogram was constructed by multivariate regression analysis. Nomogram discrimination, calibration, and clinical usefulness were evaluated. The association of the Rad-score and recurrence pattern in PDAC was evaluated.
Results
The Rad-score was significantly associated with PDAC patient’s disease-free survival (DFS) and overall survival (OS) (both p < 0.001 in two cohorts). Incorporating the Rad-score into the radiomics nomogram resulted in better performance of the survival prediction than that of the clinical model and TNM staging system. In addition, the radiomics nomogram exhibited good discrimination, calibration, and clinical usefulness in both the training and validation cohorts. There was no association between the Rad-score and recurrence pattern.
Conclusions
The radiomics nomogram integrating the Rad-score and clinical data provided better prognostic prediction in resected PDAC patients, which may hold great potential for guiding personalized care for these patients. The Rad-score was not a predictor of the recurrence pattern in resected PDAC patients.
Key Points
• The Rad-score developed by CT radiomics features was significantly associated with PDAC patients’ prognosis.
• The radiomics nomogram integrating the Rad-score and clinical data has value to permit non-invasive, low-cost, and personalized evaluation of prognosis in PDAC patients.
• The radiomics nomogram outperformed clinical model and the TNM staging system in terms of survival estimation.
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Change history
18 December 2020
The Supplementary Information was missing in the online version.
Abbreviations
- CA19.9:
-
Carbohydrate antigen 19-9
- CI:
-
Confidence interval
- C-index:
-
Harrell’s concordance-index
- DCA:
-
Decision-curve analysis
- DFS:
-
Disease-free survival
- HER-2:
-
Human epidermal growth factor receptor-2
- High/Low-RS:
-
High or low radiomics score
- ICC:
-
Intraclass correlation coefficient
- KM:
-
Kaplan-Meier
- LASSO:
-
The least absolute shrinkage and selection operator
- OS:
-
Overall survival
- PDAC:
-
Pancreatic ductal adenocarcinoma
- PNI:
-
Perineural invasion
- Rad-score:
-
Radiomics score
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The scientific guarantor of this publication is Zhengrong Zhou.
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One of the authors has significant statistical expertise (Xuanyi Wang).
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•Retrospective.
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•Performed at one institution.
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Xie, T., Wang, X., Li, M. et al. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection. Eur Radiol 30, 2513–2524 (2020). https://doi.org/10.1007/s00330-019-06600-2
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DOI: https://doi.org/10.1007/s00330-019-06600-2