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Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma
Background In patients with resectable esophageal adenocarcinoma (EAC), the decision for neoadjuvant treatment depends on clinical staging with endoscopic ultrasound (EUS) and positron-emission tomography (PET) scan. Patients with locally advanced EAC pathology misclassified as early EAC by clinical...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607361/ https://www.ncbi.nlm.nih.gov/pubmed/34820244 http://dx.doi.org/10.7759/cureus.18991 |
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author | Gomez Cifuentes, Juan David Haider, Mahnur Sanaka, Madhusudhan R Kumar, Prabhat Bena, James McMichael, John Sohal, Davendra P Raja, Siva Murthy, Sudish Thota, Prashanthi N |
author_facet | Gomez Cifuentes, Juan David Haider, Mahnur Sanaka, Madhusudhan R Kumar, Prabhat Bena, James McMichael, John Sohal, Davendra P Raja, Siva Murthy, Sudish Thota, Prashanthi N |
author_sort | Gomez Cifuentes, Juan David |
collection | PubMed |
description | Background In patients with resectable esophageal adenocarcinoma (EAC), the decision for neoadjuvant treatment depends on clinical staging with endoscopic ultrasound (EUS) and positron-emission tomography (PET) scan. Patients with locally advanced EAC pathology misclassified as early EAC by clinical staging are missing the opportunity to receive neoadjuvant therapy. We aim to identify predictors of locally advanced pathology in EAC to determine more accurately those who benefit from neoadjuvant therapy. Methods Retrospective study of patients who underwent upfront endoscopic or surgical resection for EAC without neoadjuvant therapy from January 2011 to December 2017 was performed. Clinical characteristics, EUS, PET scan and histologic findings were analyzed. Multivariable analysis of predictors of locally advanced stage was performed and a risk prediction score was developed. Results A total of 97 patients were included; 68 patients were staged as early EAC (pT1 or pT2 and pN0) and 29 patients were staged as locally advanced EAC (pT1 or pT2 with pN1 and pT3 or pT4 irrespective of N status). In a predictive model of EAC, patients presenting with dysphagia, tumor size >2 cm, exophytic mass appearance on endoscopy and absence of hiatal hernia were more likely to be have locally advanced pathology with a probability of 70% (C-statistic 0.766). Conclusions A risk prediction model based on the presence of dysphagia, tumor size >2 cm, exophytic mass appearance and absence of hiatal hernia can be used to identify locally advanced pathology in EAC patients. |
format | Online Article Text |
id | pubmed-8607361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-86073612021-11-23 Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma Gomez Cifuentes, Juan David Haider, Mahnur Sanaka, Madhusudhan R Kumar, Prabhat Bena, James McMichael, John Sohal, Davendra P Raja, Siva Murthy, Sudish Thota, Prashanthi N Cureus Cardiac/Thoracic/Vascular Surgery Background In patients with resectable esophageal adenocarcinoma (EAC), the decision for neoadjuvant treatment depends on clinical staging with endoscopic ultrasound (EUS) and positron-emission tomography (PET) scan. Patients with locally advanced EAC pathology misclassified as early EAC by clinical staging are missing the opportunity to receive neoadjuvant therapy. We aim to identify predictors of locally advanced pathology in EAC to determine more accurately those who benefit from neoadjuvant therapy. Methods Retrospective study of patients who underwent upfront endoscopic or surgical resection for EAC without neoadjuvant therapy from January 2011 to December 2017 was performed. Clinical characteristics, EUS, PET scan and histologic findings were analyzed. Multivariable analysis of predictors of locally advanced stage was performed and a risk prediction score was developed. Results A total of 97 patients were included; 68 patients were staged as early EAC (pT1 or pT2 and pN0) and 29 patients were staged as locally advanced EAC (pT1 or pT2 with pN1 and pT3 or pT4 irrespective of N status). In a predictive model of EAC, patients presenting with dysphagia, tumor size >2 cm, exophytic mass appearance on endoscopy and absence of hiatal hernia were more likely to be have locally advanced pathology with a probability of 70% (C-statistic 0.766). Conclusions A risk prediction model based on the presence of dysphagia, tumor size >2 cm, exophytic mass appearance and absence of hiatal hernia can be used to identify locally advanced pathology in EAC patients. Cureus 2021-10-23 /pmc/articles/PMC8607361/ /pubmed/34820244 http://dx.doi.org/10.7759/cureus.18991 Text en Copyright © 2021, Gomez Cifuentes et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Cardiac/Thoracic/Vascular Surgery Gomez Cifuentes, Juan David Haider, Mahnur Sanaka, Madhusudhan R Kumar, Prabhat Bena, James McMichael, John Sohal, Davendra P Raja, Siva Murthy, Sudish Thota, Prashanthi N Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title | Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title_full | Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title_fullStr | Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title_full_unstemmed | Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title_short | Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma |
title_sort | clinical predictors of locally advanced pathology in esophageal adenocarcinoma |
topic | Cardiac/Thoracic/Vascular Surgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607361/ https://www.ncbi.nlm.nih.gov/pubmed/34820244 http://dx.doi.org/10.7759/cureus.18991 |
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