ArticleJournal of thoracic disease2024
The relationship between the collagen score at the anastomotic site of esophageal squamous cell carcinoma and anastomotic leakage.
Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Application of a Mechanical Side-to-Side Oesophagogastric Anastomosis in the Reconstruction of the Digestive Tract After an Oesophagectomy in a Beagle Model.Interdisciplinary cardiovascular and thoracic surgery · 2026Article
- Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM.BMC cancer · 2025Article
- Transversalis fascia collagen content and the risk of surgical complications: results of a prospective study.Langenbeck's archives of surgery · 2025Article
- Delta-CT radiomics based model for predicting postoperative anastomotic leakage following radical resection of esophageal squamous cell carcinoma.Frontiers in oncology · 2024Article
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8 authors.
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Abstract
Background: Anastomotic leakage (AL) has always been one of the most serious complications of esophagectomy with gastric conduit reconstruction. There are many strong risk factors for AL in clinical practice. Notably, the tension at the esophagogastric anastomosis and the blood supply to the gastric conduit directly affect the integrity of the anastomosis. However, there has been a lack of quantitative research on the tension and blood supply of the gastric conduit. Changes in extracellular matrix collagen reflect tension and blood supply, which affect the quality of the anastomosis. This study aimed to establish a quantitative collagen score to describe changes in the collagen structure in the extracellular matrix and to identify patients at high risk of postoperative AL. Methods: A retrospective study of 213 patients was conducted. Clinical and pathological data were collected at baseline. Optical imaging of the "donut" specimen at the anastomotic gastric end and collagen feature extraction were performed. Least absolute shrinkage and selection operator (LASSO) regression models were used to select the significant collagen features, compute collagen scores, and validate the predictive efficacy of the collagen scores for ALs. Results: LASSO regression analysis revealed three collagen-related parameters in the gastric donuts: histogram mean, histogram variance, and histogram energy. Based on this analysis, we established a formula to calculate the collagen score. The results of the univariate analysis revealed significant differences in the preoperative low albumin values (P=0.002) and collagen scores between the AL and non-AL groups (P=0.001), while the results of the multivariate analysis revealed significant differences in the collagen scores between the AL and non-AL groups (P=0.002). The areas under the curve (AUCs) of the experimental and validation cohorts were 0.978 [95% confidence interval (CI): 0.931-0.996] and 0.900 (95% CI: 0.824-0.951), respectively. Conclusions: The collagen score established herein was shown to be related to AL and can be used to predict AL in patients who underwent esophagectomy.
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