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Objectives <p>Accurately predicting recurrent laryngeal nerve lymph nodes (RLNs) status after neoadjuvant therapy is challenging but essential for efficient dissection of RLNs and for lowering local recurrence rates in patients with esophageal cancer.</p> Materials and methods <p>In this retrospective study, 403 patients diagnosed with esophageal squamous cell cancer between 2010 and 2021 were included and randomly divided into training and test cohorts at a ratio of 2:1. Logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were conducted to identify significant factors associated with residual RLNs. Multivariable logistic regression analysis was used to develop the final nomogram by integrating clinical factors and pre- and post-treatment CT imaging features. The discriminatory ability of the nomogram was assessed using the area under the receiver operating characteristic (ROC) curve.</p> Results <p>The RLN metastatic rate after neoadjuvant therapy was 13.2%. Significant predictors of RLN (+) status post-neoadjuvant therapy identified by LASSO regression analysis included neoadjuvant therapy plan, serum albumin level, long diameter of the primary lesion, baseline necrosis of RLNs, baseline long diameter of RLNs, and short diameter of RLNs post-neoadjuvant treatment. The nomogram demonstrated good discriminative ability, with an area under the ROC curve of 0.856 in the test set. Neoadjuvant chemoradiotherapy was associated with a 70% reduction in the rate of RLN residues compared to neoadjuvant chemotherapy alone.</p> Conclusion <p>The nomogram, based on clinical factors and pre- and post-treatment CT imaging features, provides a superior discriminatory ability for predicting the pathological status of RLNs after neoadjuvant chemoradiotherapy.</p> Critical relevance statement <p>The nomogram presents a convenient and noninvasive method for evaluating the residual risk of RLNs after treatment for clinicians. It has the potential to provide guidance for a more precise lymph node dissection in patients with low residual risk.</p> Key Points <p><UnorderedList Mark="Bullet"> <ItemContent> <p>Accurate RLNs status prediction can lower local recurrence rates in esophageal cancer.</p> </ItemContent> <ItemContent> <p>The nomogram can be used for RLN pathological status prediction.</p> </ItemContent> <ItemContent> <p>The nomogram is convenient and noninvasive for the assessment of residual risk of RLNs.</p> </ItemContent> </UnorderedList></p> Graphical Abstract <p></p>

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Recurrent laryngeal nerve lymph nodes status prediction after neoadjuvant therapy for thoracic esophageal squamous cell carcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月7日

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  • Fengze Wu,
  • Chao Luo,
  • Shumin Zhou,
  • Zexue Peng,
  • Guangying Ruan,
  • Xin Yang,
  • Shuqi Li,
  • Wenjie Huang,
  • Lizhi Liu,
  • Jian Zhou,
  • Baodan Liang,
  • Haojiang Li

摘要

Objectives

Accurately predicting recurrent laryngeal nerve lymph nodes (RLNs) status after neoadjuvant therapy is challenging but essential for efficient dissection of RLNs and for lowering local recurrence rates in patients with esophageal cancer.

Materials and methods

In this retrospective study, 403 patients diagnosed with esophageal squamous cell cancer between 2010 and 2021 were included and randomly divided into training and test cohorts at a ratio of 2:1. Logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were conducted to identify significant factors associated with residual RLNs. Multivariable logistic regression analysis was used to develop the final nomogram by integrating clinical factors and pre- and post-treatment CT imaging features. The discriminatory ability of the nomogram was assessed using the area under the receiver operating characteristic (ROC) curve.

Results

The RLN metastatic rate after neoadjuvant therapy was 13.2%. Significant predictors of RLN (+) status post-neoadjuvant therapy identified by LASSO regression analysis included neoadjuvant therapy plan, serum albumin level, long diameter of the primary lesion, baseline necrosis of RLNs, baseline long diameter of RLNs, and short diameter of RLNs post-neoadjuvant treatment. The nomogram demonstrated good discriminative ability, with an area under the ROC curve of 0.856 in the test set. Neoadjuvant chemoradiotherapy was associated with a 70% reduction in the rate of RLN residues compared to neoadjuvant chemotherapy alone.

Conclusion

The nomogram, based on clinical factors and pre- and post-treatment CT imaging features, provides a superior discriminatory ability for predicting the pathological status of RLNs after neoadjuvant chemoradiotherapy.

Critical relevance statement

The nomogram presents a convenient and noninvasive method for evaluating the residual risk of RLNs after treatment for clinicians. It has the potential to provide guidance for a more precise lymph node dissection in patients with low residual risk.

Key Points

Accurate RLNs status prediction can lower local recurrence rates in esophageal cancer.

The nomogram can be used for RLN pathological status prediction.

The nomogram is convenient and noninvasive for the assessment of residual risk of RLNs.

Graphical Abstract