ArticleJournal of thoracic disease2025
Morphomic predictors for post-esophagectomy pulmonary complications and overall survival.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The effects of neoadjuvant chemoradiotherapy-related frailty by analytic morphomics in esophageal cancer.Journal of cardiothoracic surgery · 2026Article
- Morphomics in esophageal cancer: Validation and association with muscular and cardiorespiratory fitness.World journal of gastrointestinal surgery · 2025Article
- Prediction model for postoperative pulmonary complications after thoracoscopic surgery with machine learning algorithms and SHapley Additive exPlanations.Journal of thoracic disease · 2025Article
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Authors and funding
10 authors.
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Abstract
Background: Esophagectomy following neoadjuvant chemoradiotherapy (nCRT) is a curative treatment for locally advanced esophageal cancer. However, pulmonary complications are the most common postoperative issues and can adversely affect survival. While numerous studies have investigated predictors for these complications and survival, morphomic predictors, derived from body composition measurements on computed tomography scans, have been rarely reported. Our study aims to delineate morphomic predictors for post-esophagectomy pulmonary complications and overall survival. Methods: We retrospectively analyzed esophageal cancer patients who received nCRT followed by esophagectomy between 2004 and 2016. Preoperative clinical and morphomic variables were collected to evaluate post-esophagectomy pulmonary complications and overall survival. Multivariable logistic regression and Cox's proportional hazard model were used for analysis. Results: The study involved 221 esophageal cancer patients who received nCRT followed by surgery. Factors such as increased blood loss (P=0.01), more harvested nodes (P<0.001), advanced pT stage (P=0.01), elevated visceral adipose tissue (VAT) density (P=0.04), and reduced skeletal muscle (SM) area (P=0.01) were linked to pulmonary complications. Additionally, being male (P=0.01), increased blood loss (P<0.001), non-R0 resection margin (P=0.001), advanced pStage (P<0.001), advanced pT stage (P=0.02), and decreased SM density (P=0.045) were associated with poorer overall survival. Conclusions: Increased VAT density and decreased SM area were associated with pulmonary complications, while decreased SM density was linked to poorer overall survival. Preoperative analytic morphomics aids in predicting both postoperative pulmonary complications and survival.
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