Article: Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancer.
World journal of clinical oncology
2024 Volume 15, Issue 3, Page(s) 419–433
Abstract: Background: Accurate preoperative prediction of lymph node metastasis (LNM) in esophageal cancer (EC) patients is of crucial clinical significance for treatment planning and prognosis.: Aim: To develop a clinical radiomics nomogram that can predict ... ...
| Abstract | Background: Accurate preoperative prediction of lymph node metastasis (LNM) in esophageal cancer (EC) patients is of crucial clinical significance for treatment planning and prognosis. Aim: To develop a clinical radiomics nomogram that can predict the preoperative lymph node (LN) status in EC patients. Methods: A total of 32 EC patients confirmed by clinical pathology (who underwent surgical treatment) were included. Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy, and its correlation with LNM was analyzed. Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python. Feature extraction, data dimensionality reduction, and feature selection were performed using XGBoost model and leave-one-out cross-validation. Multivariable logistic regression analysis was used to establish the prediction model, which included radiomics features, LN status from computed tomography (CT) reports, and B7-H3 mRNA expression, represented by a radiomics nomogram. Receiver operating characteristic area under the curve (AUC) and decision curve analysis (DCA) were used to evaluate the predictive performance and clinical application value of the model. Results: The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis, and the difference was statistically significant ( Conclusion: This study developed a radiomics nomogram that includes radiomics features, LN status from CT reports, and B7-H3 mRNA expression, enabling convenient preoperative individualized prediction of LNM in EC patients. |
|---|---|
| Language | English |
| Publishing date | 2024-03-27 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2587357-X |
| ISSN | 2218-4333 |
| ISSN | 2218-4333 |
| DOI | 10.5306/wjco.v15.i3.419 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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