PROGNOSTIC SIGNIFICANCE OF CT-PLANIMETRIC CHARACTERISTICS OF THE PANCREAS IN THE DEVELOPMENT OF PANCREATIC FISTULA AFTER PANCREATODUODENECTOMY

Introduction. The study investigates the prognostic significance of preoperative computed tomography (CT) parameters, particularly pancreatic parenchymal density and duct-to-parenchyma (D/P) ratio, in predicting the risk of postoperative pancreatic fistula (POPF) following pancreatoduodenectomy (PD). POPF remains a major postoperative complication, with incidences between 6–60%, prolonging hospital stays and escalating treatment costs. This research addresses the limitations of subjective intraoperative assessments, proposing objective, preoperative CT-based criteria to forecast POPF risk. Methods. A prospective study was conducted with 234 patients undergoing PD between January 2022 and November 2023. The research employed multiphase contrast-enhanced CT imaging to assess pancreatic density (in Hounsfield Units, HU) and D/P ratio at the expected resection site above the superior mesenteric vein. Density was measured using unenhanced CT, while D/P ratios were calculated based on duct and parenchymal measurements in two planes. The radiologists were blinded to patient outcomes, and logistic regression models were utilized to assess the prognostic value of these metrics. Results. The study identified a significant association between lower pancreatic density and increased POPF risk. Patients with POPF had a median density of 22 HU compared to 39.65 HU in patients without POPF. Similarly, lower ventrodorsal and craniocaudal D/P ratios correlated with higher POPF incidence. Logistic regression models demonstrated that low pancreatic density and D/P ratio are independent predictors of POPF, with an area under the ROC curve (AUC) of 0.91 for pancreatic density and 0.86 for the D/P ratio. A combined model achieved the highest prognostic accuracy (AUC = 0.92), suggesting these parameters are valuable for preoperative POPF risk stratification. Conclusions The study concludes that low pancreatic density and a low D/P ratio, identified through preoperative CT planimetry, are reliable predictors of POPF following PD. These parameters enable a more objective risk assessment, potentially guiding individualized surgical strategies to mitigate POPF risk. Future studies with larger cohorts are warranted to validate these findings and explore histological correlations.

Authors

Institutions

Publication Details

Journal
Eastern Ukrainian Medical Journal
Published
2025-01-01
DOI
https://doi.org/10.21272/eumj.2025;13(2):558-567
Citations
2
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
2.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PROGNOSTIC SIGNIFICANCE OF CT-PLANIMETRIC CHARACTERISTICS OF THE PANCREAS IN THE DEVELOPMENT OF PANCREATIC FISTULA AFTER PANCREATODUODENECTOMY

О. М. СИМОНОВ, O. S. Tkachuk, S. M. Vasyliuk, О. Yu. Usenko et al.
2 citations
Eastern Ukrainian Medical Journal
Pancreatic and Hepatic Oncology Research
2.09
article

PROGNOSTIC SIGNIFICANCE OF CT-PLANIMETRIC CHARACTERISTICS OF THE PANCREAS IN THE DEVELOPMENT OF PANCREATIC FISTULA AFTER PANCREATODUODENECTOMY

О. М. СИМОНОВ, O. S. Tkachuk, S. M. Vasyliuk, О. Yu. Usenko, Romanna Pavliuk
article en
2 citations

Abstract

Introduction. The study investigates the prognostic significance of preoperative computed tomography (CT) parameters, particularly pancreatic parenchymal density and duct-to-parenchyma (D/P) ratio, in predicting the risk of postoperative pancreatic fistula (POPF) following pancreatoduodenectomy (PD). POPF remains a major postoperative complication, with incidences between 6–60%, prolonging hospital stays and escalating treatment costs. This research addresses the limitations of subjective intraoperative assessments, proposing objective, preoperative CT-based criteria to forecast POPF risk. Methods. A prospective study was conducted with 234 patients undergoing PD between January 2022 and November 2023. The research employed multiphase contrast-enhanced CT imaging to assess pancreatic density (in Hounsfield Units, HU) and D/P ratio at the expected resection site above the superior mesenteric vein. Density was measured using unenhanced CT, while D/P ratios were calculated based on duct and parenchymal measurements in two planes. The radiologists were blinded to patient outcomes, and logistic regression models were utilized to assess the prognostic value of these metrics. Results. The study identified a significant association between lower pancreatic density and increased POPF risk. Patients with POPF had a median density of 22 HU compared to 39.65 HU in patients without POPF. Similarly, lower ventrodorsal and craniocaudal D/P ratios correlated with higher POPF incidence. Logistic regression models demonstrated that low pancreatic density and D/P ratio are independent predictors of POPF, with an area under the ROC curve (AUC) of 0.91 for pancreatic density and 0.86 for the D/P ratio. A combined model achieved the highest prognostic accuracy (AUC = 0.92), suggesting these parameters are valuable for preoperative POPF risk stratification. Conclusions The study concludes that low pancreatic density and a low D/P ratio, identified through preoperative CT planimetry, are reliable predictors of POPF following PD. These parameters enable a more objective risk assessment, potentially guiding individualized surgical strategies to mitigate POPF risk. Future studies with larger cohorts are warranted to validate these findings and explore histological correlations.

Eastern Ukrainian Medical JournalVol. 13(2)
Ivano-Frankivsk National Medical University (UA), National Academy of Medical Sciences of Ukraine (UA)
Openalex Percentile: Top 12%
Pancreatic and Hepatic Oncology Research
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.