Prognostic Evaluation Based on Dual-Time F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic Cancer Treated by Stereotactic Body Radiation Therapy
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Background: F-FDG PET/CT is widely used in the prognosis evaluation of tumor patients. The radiomics features can provide additional information for clinical prognostic assessment.
Purpose: Purpose is to explore the prognostic value of radiomics features from dual-time F-FDG PET/CT images for locally advanced pancreatic cancer (LAPC) patients treated with stereotactic body radiation therapy (SBRT).
Materials And Methods: This retrospective study included 70 LAPC patients who received early and delayed F-FDG PET/CT scans before SBRT treatment. A total of 1188 quantitative imaging features were extracted from dual-time PET/CT images. To avoid overfitting, the univariate analysis and elastic net were used to obtain a sparse set of image features that were applied to develop a radiomics score (Rad-score). Then, the Harrell consistency index (C-index) was used to evaluate the prognosis model.
Results: The Rad-score from dual-time images contains six features, including intensity histogram, morphological, and texture features. In the validation cohort, the univariate analysis showed that the Rad-score was the independent prognostic factor ( < 0.001, hazard ratio [HR]: 3.2). And in the multivariate analysis, the Rad-score was the only prognostic factor ( < 0.01, HR: 4.1) that was significantly associated with the overall survival (OS) of patients. In addition, according to cross-validation, the C-index of the prognosis model based on the Rad-score from dual-time images is better than the early and delayed images (0.720 vs. 0.683 vs. 0.583).
Conclusion: The Rad-score based on dual-time F-FDG PET/CT images is a promising noninvasive method with better prognostic value.
Pedrazzoli S J Clin Med. 2023; 12(20).
PMID: 37892599 PMC: 10607532. DOI: 10.3390/jcm12206461.
Wang F, Cheng C, Ren S, Wu Z, Wang T, Yang X J Oncol. 2022; 2022:6528865.
PMID: 35874634 PMC: 9303166. DOI: 10.1155/2022/6528865.