Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancer.

Autor:	Xu YH; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Lu P; Department of Imaging, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Gao MC; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Wang R; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Li YY; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Guo RQ; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Zhang WS; School of Clinical Sciences, Graduate School of Nantong University, Yancheng 226019, Jiangsu Province, China.; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China., Song JX; Department of Thoracic Surgery, Yancheng Third People's Hospital, The Affiliated Hospital 6 of Nantong University, Yancheng 224000, Jiangsu Province, China. jxsongycsy@163.com.
Jazyk:	angličtina
Zdroj:	World journal of clinical oncology [World J Clin Oncol] 2024 Mar 24; Vol. 15 (3), pp. 419-433.
DOI:	10.5306/wjco.v15.i3.419
Abstrakt:	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 ( P < 0.05). The AUC value in the receiver operating characteristic (ROC) curve was 0.718 (95%CI: 0.528-0.907), with a sensitivity of 0.733 and specificity of 0.706, indicating good diagnostic performance. The individualized clinical prediction nomogram included radiomics features, LN status from CT reports, and B7-H3 mRNA expression. The ROC curve demonstrated good diagnostic value, with an AUC value of 0.765 (95%CI: 0.598-0.931), sensitivity of 0.800, and specificity of 0.706. DCA indicated the practical value of the radiomics nomogram in clinical practice. 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. Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article. (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)
Databáze:	MEDLINE
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