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ORIGINAL ARTICLES

Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma

ORCID Icon, , , , , & show all
Pages 1531-1536 | Received 01 May 2017, Accepted 14 Jun 2017, Published online: 18 Aug 2017

Figures & data

Table 1. Detailed patients characteristic.

Table 2. The scanning parameters for training and validation cohorts and two image modalities.

Figure 1. Radiomics-based local tumor control prognostic models: (a) CT-based radiomics, (b) PET-based radiomics, (c) CT- and PET-based radiomics. Tumor control curves split significantly (G-rho test p-value < 0.05) in both training and validation cohorts based on the optimal sensitivity-specificity thresholds at 18 months.

Figure 1. Radiomics-based local tumor control prognostic models: (a) CT-based radiomics, (b) PET-based radiomics, (c) CT- and PET-based radiomics. Tumor control curves split significantly (G-rho test p-value < 0.05) in both training and validation cohorts based on the optimal sensitivity-specificity thresholds at 18 months.

Figure 2. The comparison of risk group stratification in the validation cohort by CT- and PET-based radiomics models (a) the repeatability of patients’ ranking based on CT and PET radiomics models and differences in risk group stratification, (b) the relation between observed and radiomics model-based estimated probabilities of local tumor control at 18 months for risk groups defined using the radiomics models.

Figure 2. The comparison of risk group stratification in the validation cohort by CT- and PET-based radiomics models (a) the repeatability of patients’ ranking based on CT and PET radiomics models and differences in risk group stratification, (b) the relation between observed and radiomics model-based estimated probabilities of local tumor control at 18 months for risk groups defined using the radiomics models.
Supplemental material

IONC_A_1346382_Supplementary_Information.zip

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