Published online Aug 21, 2020. doi: 10.3748/wjg.v26.i31.4680
Peer-review started: May 5, 2020
First decision: May 15, 2020
Revised: May 22, 2020
Accepted: July 30, 2020
Article in press: July 30, 2020
Published online: August 21, 2020
Processing time: 107 Days and 21.1 Hours
The occurrence of esophageal neuroendocrine carcinoma (NEC) is rare, with an incidence of only 0.03-5% of reported gastrointestinal neuroendocrine tumors. Esophageal NEC usually has characteristics of a high-grade malignancy with poor differentiation, inadequate tumor vascularization, and common metastases.
The clinical data included in the foregoing prognostic models are limited, and imaging data are lacking. Studies involving prognosis of esophageal NEC including contrast-enhanced computed tomography (CT) have not yet been conducted.
This study aimed to investigate the role of pretreatment contrast-enhanced CT imaging and patient clinical characteristics in predicting the progression-free survival and overall survival of patients with esophageal NEC.
Seventy-seven esophageal NEC patients who received contrast-enhanced CT at two hospitals were enrolled in this study. The clinical features and image characteristics were recorded accordingly. The univariate survival analysis was performed by the Kaplan-Meier method and log-rank test, and the multivariate analysis was carried out with a Cox proportional hazards model.
The multivariate analysis showed that N stage, adjuvant chemotherapy, and degree of enhancement were independent prognostic factors for overall survival. Meanwhile adjuvant chemotherapy was an independent prognostic factor for progression-free survival. Adjuvant chemotherapy was significantly associated with degree of enhancement.
Adjuvant chemotherapy is an independent prognostic factor for overall survival and progression-free survival. Additionally, N stage and degree of enhancement are prognostic factors for overall survival in patients with esophageal NEC.
CT has limitations for accurate TN staging due to poor soft-tissue contrast to exactly reveal the invasion of the specific layer and lymph node characteristic. The enhanced level of the tumor is influenced by subjective factors based on the observer. Additional imaging modalities, such as radiomics features, can provide information on different aspects of tumor characteristics in predicting tumor prognosis.