Prognostic Value of [(18)F]FDG PET Radiomics to Detect Peritoneal and Distant Metastases in Locally Advanced Gastric Cancer-A Side Study of the Prospective Multicentre PLASTIC Study
| Autor: | Pullen, L.C.E., Noortman, W.A., Triemstra, L., Jongh, C. de, Rademaker, F.J., Spijkerman, Romy, Kalisvaart, G.M., Gertsen, E.C., Geus-Oei, L.F. de, Tolboom, N., Steur, W.O. de, Dantuma, M., Slart, R.H., Hillegersberg, R. van, Siersema, P.D., Ruurda, J.P., Velden, F.H.P. van, Vegt, E |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Cancers, 15 Cancers, 15, 11 |
| ISSN: | 2072-6694 |
| Popis: | Contains fulltext : 293623.pdf (Publisher’s version ) (Open Access) AIM: To improve identification of peritoneal and distant metastases in locally advanced gastric cancer using [(18)F]FDG-PET radiomics. METHODS: [(18)F]FDG-PET scans of 206 patients acquired in 16 different Dutch hospitals in the prospective multicentre PLASTIC-study were analysed. Tumours were delineated and 105 radiomic features were extracted. Three classification models were developed to identify peritoneal and distant metastases (incidence: 21%): a model with clinical variables, a model with radiomic features, and a clinicoradiomic model, combining clinical variables and radiomic features. A least absolute shrinkage and selection operator (LASSO) regression classifier was trained and evaluated in a 100-times repeated random split, stratified for the presence of peritoneal and distant metastases. To exclude features with high mutual correlations, redundancy filtering of the Pearson correlation matrix was performed (r = 0.9). Model performances were expressed by the area under the receiver operating characteristic curve (AUC). In addition, subgroup analyses based on Lauren classification were performed. RESULTS: None of the models could identify metastases with low AUCs of 0.59, 0.51, and 0.56, for the clinical, radiomic, and clinicoradiomic model, respectively. Subgroup analysis of intestinal and mixed-type tumours resulted in low AUCs of 0.67 and 0.60 for the clinical and radiomic models, and a moderate AUC of 0.71 in the clinicoradiomic model. Subgroup analysis of diffuse-type tumours did not improve the classification performance. CONCLUSION: Overall, [(18)F]FDG-PET-based radiomics did not contribute to the preoperative identification of peritoneal and distant metastases in patients with locally advanced gastric carcinoma. In intestinal and mixed-type tumours, the classification performance of the clinical model slightly improved with the addition of radiomic features, but this slight improvement does not outweigh the laborious radiomic analysis. |
| Databáze: | OpenAIRE |
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