ASO Author Reflections: Preoperative Prediction of Pathological Complete Response Using Deep Neural Network After Neoadjuvant Chemotherapy in Esophageal Cancer Patients
Author:
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
https://link.springer.com/content/pdf/10.1245/s10434-023-13948-9.pdf
Reference4 articles.
1. Kato K, Ito Y, Daiko H, et al. A randomized controlled phase III trial comparing two chemotherapy regimen and chemoradiotherapy regimen as neoadjuvant treatment for locally advanced esophageal cancer, JCOG1109 NExT study. J Clin Oncol. 2022;40:238. https://doi.org/10.1200/JCO.2022.40.4_suppl.238
2. Matsuda S, Kitagawa Y, Takemura R, et al. Real-world evaluation of the efficacy of neoadjuvant DCF over CF in esophageal squamous cell carcinoma: propensity score matched analysis from 85 authorized institutes for esophageal cancer in Japan. Ann Surg. 2023;278:e35–e42. https://doi.org/10.1097/SLA.0000000000005533
3. Matsuda S, Yamamoto S, Kato K, et al. FRONTiER: A feasibility trial of nivolumab with neoadjuvant CF or DCF, FLOT therapy for locally advanced esophageal carcinoma (JCOG1804E)—short-term results for cohorts C and D. J Clin Oncol. 2022;40:286. https://doi.org/10.1200/JCO.2022.40.4_suppl.286
4. Matsuda S, Irino T, Okamura A, et al. Endoscopic evaluation of pathological complete response using deep neural network in esophageal cancer patients who received neoadjuvant chemotherapy -Multicenter retrospective study from four Japanese esophageal centers. Ann Surg Oncol. 2023. https://doi.org/10.1245/s10434-023-13862-0.
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