Risk stratification of anastomotic stricture using early postoperative endoscopic and computed tomography findings in patients undergoing esophagectomy with cervical esophagogastric anastomosis for esophageal cancer.
Keita TakahashiKatsunori NishikawaYuichiro TanishimaYoshitaka IshikawaTakehiro KobayashiTakahiro MasudaTakanori KurogochiMasami YudaYujiro TanakaAkira MatsumotoFumiaki YanoKen EtoPublished in: Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus (2022)
Anastomotic stricture (AS) is one of the major complications after esophagectomy for esophageal cancer. We have previously reported that severe mucosal degeneration (MD) of the anastomotic site was associated with the incidence of AS. Meanwhile, there are few reports to correlate anastomotic internal circumference (AIC) with computed tomography (CT) with the incidence of AS. Therefore, this study was conducted to clarify the correlation of early postoperative endoscopic and CT findings with the incidence of AS. We assessed 205 patients who underwent esophagectomy. We then divided them into the non-AS group (n = 164) and the AS group (n = 41) and compared their background data and intraoperative and postoperative outcomes. We also evaluated the risk factors for AS using logistic regression model. Multivariate analysis revealed small AIC (P = 0.003; OR = 4.400; 95% CI = 1.650-11.700) and severe MD (P < 0.001; OR = 7.200; 95% CI = 2.650-19.600) as the independent risk factors for AS development. We also stratified the patients into the following four groups according to the incidence of AS: low-risk (normal AIC and intact or mild MD, 6.2%), intermediate-risk (small AIC and intact or mild MD, 29.4%), high-risk (normal AIC and severe MD, 42.9%), and very high-risk (small AIC and severe MD, 61.1%). Early postoperative endoscopic and CT findings were useful in predicting the development of AS after esophagectomy.
Keyphrases
- emergency department
- patients undergoing
- computed tomography
- molecular dynamics
- end stage renal disease
- dual energy
- image quality
- risk factors
- rectal cancer
- contrast enhanced
- positron emission tomography
- ejection fraction
- newly diagnosed
- ultrasound guided
- chronic kidney disease
- magnetic resonance imaging
- early onset
- body mass index
- peritoneal dialysis
- type diabetes
- robot assisted
- adipose tissue
- metabolic syndrome
- drug induced
- electronic health record
- magnetic resonance
- patient reported outcomes
- deep learning
- big data
- patient reported
- data analysis
- body weight