Abstract | OBJECTIVES: METHODS: Ninety-seven ESCC patients who had undergone PET-CT scans were retrospectively analyzed. The ROI of primary tumors, peritumoral areas, and plus tumors were semi-automatically segmented on PET-CT images. A total of 1188 radiomics features were extracted, selected, and eventually integrated into radiomics score (rad-score). The rad-score difference between patients with E-cad expression of high and low was analyzed using Mann-Whitney tests. Characteristic correlation was tested using a Spearman analysis. Four models were established using logistic regression algorithms and evaluated using ROC and calibration curves. A DeLong test was used to perform pairwise comparisons of AUCs. RESULTS: The rad-score of patients with low E-cad expression was higher than that of patients with high E-cad expression in both training and testing cohorts (p < 0.001 and p = 0.027, respectively). A significant correlation was observed between the rad-score and E-cad (p < 0.001). PLNM correlated slightly with rad-score and E-cad values (p = 0.01 and p < 0.001, respectively). The ROC curve and calibration curve of the rad-score model performed best in both training and testing cohorts (AUC = 0.915, 0.844, p < 0.001, respectively). CONCLUSIONS: The radiomics of integrating primary tumor and peritumoral areas based on PET-CT showed correlations with PLNM. It was also able to predict E-cad expression in ESCC patients, allowing for evaluation of those patients' prognosis and more individualized medical treatment. KEY POINTS: • By integrating the primary tumor and peritumoral area based on PET-CT, radiomics was feasible. • The rad-score was associated with E-cad expression and PLNM in patients with ESCC. • Radiomics that integrated the primary tumor and peritumoral areas based on PET-CT could predict E-cad expression in patients with ESCC.
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Authors | Xiao-Ran Li, Jun-Jie Jin, Yang Yu, Xing-Hao Wang, Yan Guo, Hong-Zan Sun |
Journal | European radiology
(Eur Radiol)
Vol. 31
Issue 8
Pg. 5967-5979
(Aug 2021)
ISSN: 1432-1084 [Electronic] Germany |
PMID | 33528626
(Publication Type: Journal Article)
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Copyright | © 2021. European Society of Radiology. |
Chemical References |
- Antigens, CD
- CDH1 protein, human
- Cadherins
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Topics |
- Antigens, CD
- Cadherins
- Female
- Humans
- Lymphatic Metastasis
- Positron Emission Tomography Computed Tomography
- Retrospective Studies
- Uterine Cervical Neoplasms
(diagnostic imaging)
|