Surgeon vs Pathologist for Prediction of Pancreatic Fistula: Results from the Randomized Multicenter RECOPANC Study.


Journal

Journal of the American College of Surgeons
ISSN: 1879-1190
Titre abrégé: J Am Coll Surg
Pays: United States
ID NLM: 9431305

Informations de publication

Date de publication:
06 2021
Historique:
received: 05 02 2021
revised: 07 03 2021
accepted: 10 03 2021
pubmed: 23 4 2021
medline: 9 10 2021
entrez: 22 4 2021
Statut: ppublish

Résumé

Surgically assessed pancreatic texture has been identified as the strongest predictor of postoperative pancreatic fistula. However, texture is a subjective parameter with no proven reliability or validity. Therefore, a more objective parameter is needed. In this study, we evaluated the fibrosis level at the pancreatic neck resection margin and correlated fibrosis and all clinico-pathologic parameters collected over the course of the Pancreatogastrostomy vs Pancreatojejunostomy for RECOnstruction (RECOPANC) study. The RECOPANC trial was a multicenter randomized prospective trial of patients undergoing pancreatoduodenectomy. There were 261 hematoxylin and eosin-stained slides allocated for histopathologic analyses. Pancreatic fibrosis was scored from 0 to III (no fibrosis up to severe fibrosis) by 2 blinded independent pathologists. All variables possibly associated with POPF were entered into a generalized linear model for multivariable analysis. The fibrosis grade and pancreatic texture were scored in all 261 patients. In POPF B/C (postoperative pancreatic fistula grade B or C) patients, 71% had a soft pancreas, and fibrosis grades were distributed as follows: 48% with score 0, 28% with score I, 20% with score II, and 7% with score III, respectively. Fibrosis grading showed substantial inter-rater reliability (kappa = 0.74) and correlated positively with hard pancreatic texture (p < 0.05). In univariable analysis, area under the curve (AUC) for POPF B/C prediction was higher for fibrosis grade than for pancreatic texture (0.71 vs 0.59). In multivariate analysis, the following predictors were selected: sex, surgeon volume, pancreatic texture, and fibrosis grade. However, the addition of pancreatic texture only led to an incremental improvement (AUC 0.794 vs 0.819). Histologically evaluated pancreatic fibrosis is an easily applicable and highly reproducible POPF predictor and superior to surgically evaluated pancreatic texture. Future studies might use fibrosis grade for risk stratification in pancreatoduodenectomy.

Sections du résumé

BACKGROUND
Surgically assessed pancreatic texture has been identified as the strongest predictor of postoperative pancreatic fistula. However, texture is a subjective parameter with no proven reliability or validity. Therefore, a more objective parameter is needed. In this study, we evaluated the fibrosis level at the pancreatic neck resection margin and correlated fibrosis and all clinico-pathologic parameters collected over the course of the Pancreatogastrostomy vs Pancreatojejunostomy for RECOnstruction (RECOPANC) study.
STUDY DESIGN
The RECOPANC trial was a multicenter randomized prospective trial of patients undergoing pancreatoduodenectomy. There were 261 hematoxylin and eosin-stained slides allocated for histopathologic analyses. Pancreatic fibrosis was scored from 0 to III (no fibrosis up to severe fibrosis) by 2 blinded independent pathologists. All variables possibly associated with POPF were entered into a generalized linear model for multivariable analysis.
RESULTS
The fibrosis grade and pancreatic texture were scored in all 261 patients. In POPF B/C (postoperative pancreatic fistula grade B or C) patients, 71% had a soft pancreas, and fibrosis grades were distributed as follows: 48% with score 0, 28% with score I, 20% with score II, and 7% with score III, respectively. Fibrosis grading showed substantial inter-rater reliability (kappa = 0.74) and correlated positively with hard pancreatic texture (p < 0.05). In univariable analysis, area under the curve (AUC) for POPF B/C prediction was higher for fibrosis grade than for pancreatic texture (0.71 vs 0.59). In multivariate analysis, the following predictors were selected: sex, surgeon volume, pancreatic texture, and fibrosis grade. However, the addition of pancreatic texture only led to an incremental improvement (AUC 0.794 vs 0.819).
CONCLUSIONS
Histologically evaluated pancreatic fibrosis is an easily applicable and highly reproducible POPF predictor and superior to surgically evaluated pancreatic texture. Future studies might use fibrosis grade for risk stratification in pancreatoduodenectomy.

Identifiants

pubmed: 33887486
pii: S1072-7515(21)00240-4
doi: 10.1016/j.jamcollsurg.2021.03.024
pii:
doi:

Types de publication

Comparative Study Journal Article Multicenter Study Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

935-945.e2

Investigateurs

Louisa Bolm (L)
Ruediger Braun (R)
Hryhoriy Lapshyn (H)

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Auteurs

Sylvia Timme (S)

Institute for Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Core Facility for Histopathology and Digital Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.

Gian Kayser (G)

Institute for Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.

Martin Werner (M)

Institute for Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Core Facility for Histopathology and Digital Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.

Stanislav Litkevych (S)

Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.

Ambrus Gabor Màlyi (AG)

Institute for Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany; Institute of Translational Medicine, Semmelweis University, Budapest, Hungary.

Tobias Keck (T)

Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.

Peter Bronsert (P)

Institute for Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Core Facility for Histopathology and Digital Pathology, University of Freiburg Medical Center, Freiburg im Breisgau, Germany; Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.

Ulrich Friedrich Wellner (UF)

Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.

Ekaterina Petrova (E)

Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.

Kim C Honselmann (KC)

Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Luebeck, Germany. Electronic address: kim.honselmann@uksh.de.

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