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20-09-2023 | Esophageal Cancer | ASO Author Reflections

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Authors: Kunwei Li, MM, Shuaitong Zhang, PhD, Hong Shan, PhD

Published in: Annals of Surgical Oncology | Issue 13/2023

Excerpt

Neoadjuvant chemoradiotherapy (NCRT) followed by surgery is the standard treatment for patients with locally advanced esophageal squamous cell carcinoma (ESCC). Patients who achieve pathological complete response (pCR) after NCRT may benefit from organ-preserving and function-preserving strategies.¹ Therefore, accurate pCR prediction before surgery is critical for guiding treatment decision. Several studies have demonstrated the potential of primary tumor-based radiomic approach on predicting pCR in ESCC.^2,3 However, the predictive value of radiomic features from lymph node (LN) regions has not been validated. …

Naik KB, Liu Y, Goodman M, et al. Concurrent chemoradiotherapy with or without surgery for patients with resectable esophageal cancer: an analysis of the National Cancer Data Base. Cancer. 2017;123(18):3476–85. https://doi.org/10.1002/cncr.30763.CrossRefPubMed

Hu Y, Xie C, Yang H, et al. Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients with esophageal squamous cell carcinoma. JAMA Netw Open. 2020;3(9):e2015927. https://doi.org/10.1001/jamanetworkopen.2020.15927.CrossRefPubMedPubMedCentral

Zhang S, Mu W, Dong D, et al. The applications of artificial intelligence in digestive system neoplasms: a review. Health Data Sci. 2023;27(3):0005. https://doi.org/10.34133/hds.0005.CrossRef

Li K, Zhang S, Hu Y, et al. Radiomics nomogram with added nodal features improves treatment response prediction in locally advanced esophageal squamous cell carcinoma: a multicentre study. Ann Surg Oncol. 2023. https://doi.org/10.1245/s10434-023-14253-1.CrossRefPubMedPubMedCentral

Liu Z, Duan T, Zhang Y, et al. Radiogenomics: a key component of precision cancer medicine. Br J Cancer. 2023;129(5):741–53. https://doi.org/10.1038/s41416-023-02317-8.CrossRefPubMed

Title: ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?
Authors: Kunwei Li, MM
Shuaitong Zhang, PhD
Hong Shan, PhD
Publication date: 20-09-2023
Publisher: Springer International Publishing
Keywords: Esophageal Cancer
Esophageal Cancer
Published in: Annals of Surgical Oncology / Issue 13/2023
Print ISSN: 1068-9265
Electronic ISSN: 1534-4681
DOI: https://doi.org/10.1245/s10434-023-14299-1

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ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

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