Demographics
In the study period, a total of 405 patients underwent esophagectomy with gastric tube reconstruction. Of these patients, 283 were excluded because there was no clinically suspected leak (n = 238), no CT scan was performed in case of a suspected anastomotic leak (n = 43) or the CT scan was of insufficient quality (n = 2). Consequently, 122 patients were deemed eligible for inclusion in our study, of whom 54 (44.3%) had a confirmed anastomotic leak (Fig. 1).
Clinical and treatment-related patient characteristics and their univariable association with anastomotic leakage are summarized in Table 1. None of the studied patient and treatment-related factors were significantly associated with the occurrence of anastomotic leakage. The median time interval between esophagectomy and CT acquisition was 6 days (range: 1-32). Anastomotic leakage occurred after a median time of 8 days (range: 1-22) following esophagectomy. Anastomotic leakage was confirmed by, endoscopy (n = 10), surgical re-intervention (n = 31) or demonstration of saliva during opening of the cervical wound (n = 13). Treatment of anastomotic leakage consisted of ceasing oral intake in combination with opening of the cervical wound (n = 20), placing a stent (n = 3) or surgical re-intervention (n = 31).
Predictors of anastomotic leakage
The results of univariable logistic regression analyses for each specific CT finding in relation to anastomotic leakage are presented in Table 2. In univariable analyses studying specific CT findings, the presence of a mediastinal fluid collection (OR 3.1, 95% CI: 1.4–7.1, p = 0.006) and mediastinal air (OR 11.1, 95% CI: 3.6–34.2, p < 0.001) were significantly associated with anastomotic leakage.
Table 2 Univariable logistic regression analysis of specific postoperative CT findings in relation to anastomotic leakage after esophagectomy
In subgroup analyses the associations of mediastinal fluid with anastomotic leakage was independent of its size, anatomic location within the mediastinum, and the number of days they occurred after surgery. In subgroup analyses of patients with presence of mediastinal air on their postoperative CT scan (70%, 86/122), the number of days after surgery that air was observed was significantly associated with anastomotic leakage (OR for each additional postoperative day: 1.162, 95% CI: 1.022–1.327, p = .022). To this regard, the prevalence of a confirmed leak in patients with observed free air before or after the seventh postoperative day was 50% and 73%, respectively. Of the patients with free air in the mediastinum, air was observed above the manubrium in 22 patients (12/22, 55% leakage), between the manubrium and carina in 4 patients (3/4, 75% leakage), between carina and diaphragm in eight patients (4/8, 50% leakage), and in a combination of these anatomic locations in 52 patients (31/52, 60% leakage). The association of mediastinal air with anastomotic leakage was independent of its location (p = 0.838). Also the size of mediastinal air on CT was not associated with anastomotic leakage.
In addition, the presence of wall discontinuity (OR 12.6, 95% CI: 4.39–36.20, p < 0.001), fistula (OR 12.7, 95% CI: 2.8–58.5, p < 0.001) and empyema (OR 17.1, 95% CI: 2.1–137.6, p = 0.007) were significantly associated with anastomotic leakage. No significant difference in incidence of other CT findings among patients with or without anastomotic leakage was found.
In multivariable logistic regression analysis, a mediastinal fluid collection (OR 3.4, 95% CI: 1.3–9.4, p = 0.016), mediastinal air (OR 6.6, 95% CI: 1.9–23.2, p = 0.003), wall discontinuity (OR 4.9, 95% CI: 1.5–15.9, p = 0.008), and presence of a fistula (OR 7.2, 95% CI: 1.2–43.8, p = 0.032) remained independently and significantly associated with anastomotic leakage (Table 3, Fig. 3). The association between empyema and anastomotic leakage was no longer significant after multivariable adjustment (p = 0.093).
Table 3 Multivariable logistic regression analysis of CT findings significantly associated with anastomotic leakage in univariable analysis
Systematic subjective CT assessment
During systematic subjective CT scan assessment by the radiologists, a leak was suggested in 49 patients of which 37 (75.5%) had a confirmed leak, whereas absence of a leak was scored in 53 patients of which ten (18.9%) had a confirmed leak. Of the remaining patients with a probable leak (n = 20), 7 (35%) had a confirmed leak. The radiologists evaluation, referred to as ‘systematic subjective assessment’, yielded an AUC of 0.75 (95% CI: 0.66–0.84) in ROC analysis (Fig. 2, Table 4). Sensitivity and specificity of the systematic subjective assessment by the radiologists (no + probable leakage versus presence of leakage) were 68.5% (37 of 54; 95% CI: 54.3-80.1) and 82.4% (56 of 68; 95% CI: 70.8-90.1), respectively (Table 4).
Table 4 Receiver operating characteristics analysis and net reclassification index (NRI) estimates for anastomotic leakage according to the original interpretation, subjective CT assessment and the anastomotic leakage prediction model
Original clinical CT interpretation
The original clinical CT interpretation yielded an AUC of 0.68 (95% CI: 0.59-0.78) in ROC analysis (Fig. 2, Table 4). Sensitivity and specificity of the original assessment by the radiologists (absence of leakage versus probable + presence of leakage) were 51.9% (28 of 54; 95% CI: 38.0-65.5) and 83.8% (57 of 68; 95% CI: 72.5-91.3), respectively (Table 4).
Risk scoring system
An anastomotic leakage prediction score (ALP score) was constructed based on the four CT findings that remained significantly associated with anastomotic leakage in multivariable analysis. Based on the absolute beta-regression coefficient, presence of each variable was converted into a corresponding amount of points rounded to its nearest integer. Next scaling was performed with respect to the discriminatory power of the scores as determined by ROC analysis. To this regard it proved feasible to assign one point for the presence of each predictive factor – in order to keep the score simple – without compromising its discriminative ability (Table 3). Therefore, the cumulative amount of points of the ALP score ranges from 0 to 4. The diagnostic performance of the possible scores for identifying an anastomotic leak are presented in Table 5.
Table 5 Risk scores and their coordinates on the ROC curve
Using ROC analysis a total of two points was statistically determined as optimal cut-off, in which patients with scores ≥2 points were considered at high risk of anastomotic leakage. The cut-off value of ≥2 points yielded a sensitivity of 80% (43 of 54; 95% CI: 66.1–88.9) and specificity of 84% (57 of 68; 95% CI: 72.5–91.3). The final ALP score model had an AUC of 0.86 (95% CI: 0.79-0.93) (Fig. 2, Table 4).
The ALP scoring system improved the AUC (0.86 versus 0.75 and 0.68) with an NRI of 12.5% (p = 0.008) and 27.7% (p < 0.001) for the detection of anastomotic leakage compared to the systematic subjective CT assessment and original CT interpretation, respectively (Table 4). These findings indicate that with the ALP score 11.1% and 27.7% of the patients with definite anastomotic leakage, and 1.4% and 0% of patients without leakage were better classified compared to the systematic subjective CT assessment and original CT interpretation, respectively (Fig. 3).