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- Title
Development and validation of an [<sup>18</sup>F]FDG-PET/CT radiomic model for predicting progression-free survival for patients with stage II – III thoracic esophageal squamous cell carcinoma who are treated with definitive chemoradiotherapy.
- Authors
Takahashi, Noriyoshi; Tanaka, Shohei; Umezawa, Rei; Takanami, Kentaro; Takeda, Kazuya; Yamamoto, Takaya; Suzuki, Yu; Katsuta, Yoshiyuki; Kadoya, Noriyuki; Jingu, Keiichi
- Abstract
Radiomics is a method for extracting a large amount of information from images and used to predict treatment outcomes, side effects and diagnosis. In this study, we developed and validated a radiomic model of [18F]FDG-PET/CT for predicting progression-free survival (PFS) of definitive chemoradiotherapy (dCRT) for patients with esophageal cancer. Patients with stage II – III esophageal cancer who underwent [18F]FDG-PET/CT within 45 days before dCRT between 2005 and 2017 were included. Patients were randomly assigned to a training set (85 patients) and a validation set (45 patients). Radiomic parameters inside the area of standard uptake value ≥ 3 were calculated. The open-source software 3D slicer and Pyradiomics were used for segmentation and calculating radiomic parameters, respectively. Eight hundred sixty radiomic parameters and general information were investigated. In the training set, a radiomic model for PFS was made from the LASSO Cox regression model and Rad-score was calculated. In the validation set, the model was applied to Kaplan-Meier curves. The median value of Rad-score in the training set was used as a cutoff value in the validation set. JMP was used for statistical analysis. RStudio was used for the LASSO Cox regression model. p < 0.05 was defined as significant. The median follow-up periods were 21.9 months for all patients and 63.4 months for survivors. The 5-year PFS rate was 24.0%. In the training set, the LASSO Cox regression model selects 6 parameters and made a model. The low Rad-score group had significantly better PFS than that the high Rad-score group (p = 0.019). In the validation set, the low Rad-score group had significantly better PFS than that the high Rad-score group (p = 0.040). The [18F]FDG-PET/CT radiomic model could predict PFS for patients with esophageal cancer who received dCRT.
- Subjects
EXPERIMENTAL design; DISEASE progression; CHEST tumors; PREDICTIVE tests; THREE-dimensional imaging; RESEARCH methodology; RESEARCH methodology evaluation; TIME; POSITRON emission tomography computed tomography; TUMOR classification; CHEMORADIOTHERAPY; TREATMENT effectiveness; CANCER patients; RANDOMIZED controlled trials; RADIOPHARMACEUTICALS; SURVIVAL analysis (Biometry); DESCRIPTIVE statistics; KAPLAN-Meier estimator; DEOXY sugars; PROGRESSION-free survival; STATISTICAL sampling; DATA analysis software; ESOPHAGEAL tumors; SQUAMOUS cell carcinoma; ESOPHAGEAL cancer; LONGITUDINAL method; PROPORTIONAL hazards models
- Publication
Acta Oncologica, 2023, Vol 62, Issue 2, p159
- ISSN
0284-186X
- Publication type
Article
- DOI
10.1080/0284186X.2023.2178859