Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography

Rationale: Clinically relevant postoperative pancreatic fistula (CR-POPF) is among the most formidable complications after pancreatoduodenectomy (PD), heightening morbidity/mortality rates. Fistula Risk Score (FRS) is a well-developed predictor, but it is an intraoperative predictor and quantifies >50% patients as intermediate risk. Therefore, an accurate and easy-to-use preoperative index is desired. Herein, we test the hypothesis that quantitative analysis of contrast-enhanced computed tomography (CE-CT) with deep learning could predict CR-POPFs.

Methods: A group of 513 patients underwent pancreatico-enteric anastomosis after PD at three institutions between 2006 and 2019 was retrospectively collected, and formed a training (70%) and a validation dataset (30%) randomly. A convolutional neural network was trained and generated a deep-learning score (DLS) to identify the patients with higher risk of CR-POPF preoperatively using CE-CT images, which was further externally tested in a prospective cohort collected from August 2018 to June 2019 at the fourth institution. The biological underpinnings of DLS were assessed using histomorphological data by multivariate linear regression analysis.

Results: CR-POPFs developed in 95 patients (16.3%) in total. Compared to FRS, the DLS offered significantly greater predictability in training (AUC:0.85 [95% CI, 0.80-0.90] vs. 0.78 [95% CI, 0.72-0.84]; P = 0.03), validation (0.81 [95% CI, 0.72-0.89] vs. 0.76 [95% CI, 0.66-0.84], P = 0.05) and test (0.89 [95% CI, 0.79-0.96] vs. 0.73 [95% CI, 0.61-0.83], P < 0.001) cohorts. Especially in the challenging patients of intermediate risk (FRS: 3-6), the DLS showed significantly higher accuracy (training: 79.9% vs. 61.5% [P = 0.005]; validation: 70.3% vs. 56.3% [P = 0.04]; test: 92.1% vs. 65.8% [P = 0.013]). Additionally, DLS was independently associated with pancreatic fibrosis (coefficients: -0.167), main pancreatic duct (coefficients: -0.445) and remnant volume (coefficients: 0.138) in multivariate linear regression analysis (r² = 0.512, P < 0.001). The user satisfaction score in the test cohort was 4 out of 5.

Conclusions: Preoperative CT based deep-learning model provides a promising novel method for predicting CR-POPF occurrences after PD, especially at intermediate FRS risk level. This has a potential to be integrated into radiologic reporting system or incorporated into surgical planning software to accommodate the preferences of surgeons to optimize preoperative strategies, intraoperative decision-making, and even postoperative care.

The "Colonial Wig" pancreaticojejunostomy: zero leaks with a novel technique for reconstruction after pancreaticoduodenectomy

BACKGROUND

Postoperative pancreatic fistula (POPF) remains common and morbid after pancreaticoduodenectomy (PD). A major advance in the study of POPF is the fistula risk score (FRS).

METHODS

We analyzed 48 consecutive patients undergoing PD. The "Colonial Wig" pancreaticojejunostomy (CWPJ) technique was used in the last 22 PDs, we compared 22 CWPJ to 26 conventional PDs.

RESULTS

Postoperative morbidity was 49% (27% Clavien grade >2). The median length of hospital stay was 11 days. In the first 26 PDs, the PJ was performed according to standard techniques and the clinically relevant POPF (CR-POPF) rate was 15%, similar to the FRS-predicted rate (14%). In the next 22 PJs, the CWPJ was employed. Although the FRS-predicted rates were similar in these two groups (14% vs 13%), the CR-POPF rate in the CWPJ group was 0 (P=0.052).

CONCLUSION

Early experience with the CWPJ is encouraging, and this anastomosis may be a safe and effective way to lower POPF rates.

Revisiting the Pancreatic Fistula Risk Score: Clinical Nomogram Accurately Assesses Risk

OBJECTIVES

Surgeons have created numerous iterations of the pancreatic fistula risk score (FRS) to predict risk for clinically relevant postoperative pancreatic fistula (CR-POPF). The multitude of often conflicting models makes it difficult for surgeons to apply data in clinical practice.

METHODS

We conducted a retrospective cohort study utilizing National Surgical Quality Improvement Program data from 2015 to 2018. The study included patients undergoing pancreaticoduodenectomy. Missing data were resolved with multiple imputations.

RESULTS

The study included 5975 patients; 1018 (17%) had a CR-POPF. On multivariate analysis, male sex (odds ratio (OR) 1.60 CI: 1.29-1.98 P < .001), obesity (OR 1.65 CI: 1.31-2.08 P < .001), and soft gland texture (OR 3.21 CI: 2.45-4.23 P < .001) were all associated with increased odds of a CR-POPF. Variables not associated with CR-POPF included diabetes, preoperative bilirubin, preoperative albumin, and American Society of Anesthesiologists (ASA) classification. On multivariate analysis, duct diameter >6 mm (OR .52 CI: .34-.77 P = .001), pancreatic adenocarcinoma pathology (OR .67 CI: .53-.84 P < .001), and neoadjuvant treatment (OR .71 CI: .51-.98 P = .042) were all associated with decreased odds of a CR-POPF. We constructed a clinically relevant nomogram from this model known as the Portland FRS. Model characteristics were superior to previously published FRS models. The area under the curve (AUC) for the Portland FRS was .72 (CI: .704-.737). In comparison, AUCs for the Alternative and Seoul FRS were .70 and .64, respectively.

CONCLUSION

Utilizing readily available clinical data, the Portland FRS can accurately predict the risk for pancreatic fistula. The nomogram may assist surgeons in patient counseling and perioperative management.

Single Center, Propensity Score Matching Analysis of Different Reconstruction Techniques following Pancreatoduodenectomy

BACKGROUND

Pancreatoduodenectomy is still hampered by significant morbidity. So far, there is no universally accepted technique aimed at minimizing postoperative complications. Herein, we compare three different reconstruction techniques.

METHODS

This is a retrospective study of a prospectively maintained database including 283 patients operated between January 2010 and December 2020. Three reconstruction techniques were compared: (1) the Neuhaus-style telescope pancreatojejunostomy, (2) the pancreatogastrostomy, and (3) the modified Blumgart-style, duct-to-mucosa pancreatojejunostomy. The primary endpoint consisted in determining the rates of clinically relevant postoperative pancreatic fistulas (CR-POPF); the secondary endpoints included 90 days morbidity and mortality rates. A propensity score matching analysis was used.

RESULTS

Rates of CR-POPF did not differ significantly between the groups (Neuhaus-style pancreatojejunostomy 16%, pancreatogastrostomy 17%, modified Blumgart-style pancreatojejunostomy 15%), neither in the unmatched nor in the matched analysis (p = 0.993 and p = 0.901, respectively). Similarly, no significant differences could be observed with regard to major morbidity (unmatched p = 0.596, matched p = 0.188) and mortality rates (unmatched p = 0.371, matched p = 0.209) within the first 90 days following surgery. Propensity-score matching analyses revealed, however, a higher occurrence of post-pancreatectomy hemorrhage after pancreatogastrostomy (p = 0.015).

CONCLUSION

Similar CR-POPF rates suggest no crucial role of the applied reconstruction technique. Increased incidence of intraluminal post-pancreatectomy hemorrhages following pancreatogastrostomy demands awareness for meticulous hemostasis.