Pathologic complete response after neoadjuvant therapy for resectable esophageal squamous cell carcinoma: Endoscopic characteristics and implications.

IF 2.3 Q3 GASTROENTEROLOGY & HEPATOLOGY
Endoscopy International Open Pub Date : 2025-07-23 eCollection Date: 2025-01-01 DOI:10.1055/a-2625-5884
Peng Yuan, Zongchao Liu, Liang Dai, Yan Yan, Yaya Wu, Keneng Chen, Wenqing Li, Qi Wu
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Abstract

Background and study aims: This study aimed to identify endoscopic characteristics and develop predictive models for detecting a pathologic complete response (pCR) after neoadjuvant therapy in patients with esophageal squamous cell carcinoma (ESCC).

Patiens and methods: This study enrolled 220 patients including a retrospective cohort (n = 158) and a prospective cohort (n = 62), from May 2018 to March 2023 with ESCC who received neoadjuvant chemoimmunotherapy (nCIT) or neoadjuvant chemotherapy (nCT) followed by surgery. Predictive capability of the endoscopic characteristics for pCR was developed and validated using machine learning.

Results: All patients underwent endoscopic examinations before surgery but after neoadjuvant therapy. Cohort I was divided into a training set (n = 112) and an internal validation set (n = 46) at a 7:3 ratio. Seven endoscopic features were assessed: scarring; intraepithelial papillary capillary loop (IPCL) type B; depressed mucosa post-tumor disappearance; eroding mucosal changes with an uneven surface; nonsuperficial neoplastic lesions; protruded changes; and presence of cancer cells in biopsy specimens. Using these characteristics as predictors, a multivariate logistic regression model was trained to predict pCR. For further validation, data from prospective Cohorts II and III were incorporated. The model achieved 96.43% accuracy (95% confidence interval [CI] 91.11%-99.02%) in the training set, 93.48% (95% CI 82.10%-98.63%) for internal validation of Cohort I, and 96.77% (95% CI 88.83%-99.61%) in the prospective validation set.

Conclusions: Endoscopic characteristics are significant predictors of pCR in patients with ESCC receiving nCIT or nCT. The predictive model demonstrated high accuracy in both derivation and validation cohorts.

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可切除食管鳞状细胞癌新辅助治疗后病理完全缓解:内镜特征及意义。
背景和研究目的:本研究旨在确定食管鳞状细胞癌(ESCC)患者新辅助治疗后的内镜特征并建立检测病理完全缓解(pCR)的预测模型。患者和方法:本研究从2018年5月至2023年3月招募了220例ESCC患者,包括回顾性队列(n = 158)和前瞻性队列(n = 62),这些患者接受了新辅助化疗免疫治疗(nCIT)或新辅助化疗(nCT),然后进行手术。利用机器学习开发并验证了pCR的内窥镜特征的预测能力。结果:所有患者术前及新辅助治疗后均行内镜检查。队列1按7:3的比例分为训练集(n = 112)和内部验证集(n = 46)。内镜下评估七个特征:瘢痕形成;上皮内乳头状毛细血管袢(IPCL) B型;肿瘤后粘膜抑制消失;糜烂粘膜改变,表面不平整;非浅表性肿瘤病变;突出的变化;以及活检标本中癌细胞的存在。利用这些特征作为预测因子,训练多元逻辑回归模型来预测pCR。为了进一步验证,纳入了前瞻性队列II和III的数据。该模型在训练集的准确率为96.43%(95%置信区间[CI] 91.11% ~ 99.02%),在队列1的内部验证中准确率为93.48% (95% CI 82.10% ~ 98.63%),在前瞻性验证集中准确率为96.77% (95% CI 88.83% ~ 99.61%)。结论:内镜特征是ESCC接受nCIT或nCT患者pCR的重要预测因素。该预测模型在推导和验证队列中均显示出较高的准确性。
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来源期刊
Endoscopy International Open
Endoscopy International Open GASTROENTEROLOGY & HEPATOLOGY-
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3.80%
发文量
270
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