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Quantitative edge analysis of pancreatic margins in patients with head pancreatic tumors: correlations between pancreatic margins and the onset of postoperative pancreatic fistula

  • Hepatobiliary-Pancreas
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Abstract

Objective

To assess the correlation between pancreatic quantitative edge analysis as a surrogate of parenchymal stiffness and the incidence of postoperative pancreatic fistula (POPF), in patients undergoing pancreaticoduodenectomy (PD).

Methods

All consecutive patients who underwent PD at our Institution between March 2018 and November 2019 with an available preoperative CT were included. Pancreatic margin score (PMS) was calculated through computer-assisted quantitative edge analysis on the margins of the pancreatic body and tail (the expected pancreatic remnant) on non-contrast scans with in-house software. Intraoperative assessment of pancreatic stiffness by manual palpation was also performed, classifying pancreatic texture into soft and non-soft. PMS values were compared between groups using an unpaired T-test and correlated with the intraoperative evaluation of stiffness and with the grading of postoperative pancreatic fistula according to the International Study Group on Pancreatic Surgery (ISGPS).

Results

Patient population included 200 patients (mean age 64.6 years), 146 without onset of POPF (73%, non-POPF group), and 54 with POPF (27%, POPF group).

A significant difference in PMS values was observed between POPF and non-POPF (respectively 1.88 ± 0.05 vs 0.69 ± 0.01; p < 0.0001). PMS values of pancreatic parenchymas intraoperatively considered “soft” were significantly higher than those evaluated as “non-soft” (1.21 ± 0.04 vs 0.73 ± 0.02; p < 0.0001). A significant correlation between PMS values and POPF grade was observed (r = 0.8316), even in subgroups of patients with soft (r = 0.8016) and non-soft (r = 0.7602) pancreas (all p < 0.0001).

Conclusions

Quantitative edge analysis with dedicated software may stratify patients with different pancreatic stiffness, thus potentially improving preoperative risk assessment and strategies for POPF mitigation.

Clinical relevance statement

This study proposes quantitative pancreas edge analysis as a predictor for postoperative pancreatic fistula. The test has high accuracy and correlation with fistula grade according to the International Study Group on Pancreatic Surgery.

Key Points

Prediction of postoperative pancreatic fistula (POPF) onset risk after pancreaticoduodenectomy is based only on intraoperative evaluation.

Quantitative edge analysis may preoperatively identify patients with higher risk of POPF.

Quantification of pancreatic stiffness through the analysis of pancreatic margins could be done on preoperative CT.

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Abbreviations

AUROC:

Area under the ROC curve

BMI:

Body mass index

CT:

Computed tomography

ERAS:

Enhanced recovery after surgery

FRS:

Fistula Risk Score

ISGPS:

International Study Group on Pancreatic Surgery

MRI:

Magnetic resonance imaging

PD:

Pancreaticoduodenectomy

PMS:

Pancreatic margin score

POPF:

Postoperative pancreatic fistula

SD:

Standard deviation

References

  1. Bassi C, Marchegiani G, Giuliani T et al (2022) Pancreatoduodenectomy at the Verona Pancreas Institute: the evolution of indications, surgical techniques, and outcomes. Ann Surg. https://doi.org/10.1097/sla.0000000000004753

    Article  PubMed  Google Scholar 

  2. Marchegiani G, Perri G, Burelli A et al (2022) High-risk pancreatic anastomosis versus total pancreatectomy after pancreatoduodenectomy. Ann Surg. https://doi.org/10.1097/sla.0000000000004840

    Article  PubMed  Google Scholar 

  3. Callery MP, Pratt WB, Kent TS et al (2013) A prospectively validated clinical risk score accurately predicts pancreatic fistula after pancreatoduodenectomy. J Am Coll Surg. https://doi.org/10.1016/j.jamcollsurg.2012.09.002

    Article  PubMed  Google Scholar 

  4. Perri G, Marchegiani G, Partelli S et al (2021) Preoperative risk stratification of postoperative pancreatic fistula: a risk-tree predictive model for pancreatoduodenectomy. Surgery. https://doi.org/10.1016/j.surg.2021.06.046

    Article  PubMed  Google Scholar 

  5. Nahm CB, Lui I, Naidoo CS et al (2019) Density and enhancement of the pancreatic tail on computer tomography predicts acinar score and pancreatic fistula after pancreatoduodenectomy. HPB (Oxford). https://doi.org/10.1016/j.hpb.2018.09.014

  6. Gnanasekaran S, Durgesh S, Gurram R et al (2022) Do preoperative pancreatic computed tomography attenuation index and enhancement ratio predict pancreatic fistula after pancreaticoduodenectomy? World J Radiol 14:165–176. https://doi.org/10.4329/wjr.v14.i6.165

    Article  PubMed  PubMed Central  Google Scholar 

  7. Hatano M, Watanabe J, Kushihata F et al (2015) Quantification of pancreatic stiffness on intraoperative ultrasound elastography and evaluation of its relationship with postoperative pancreatic fistula. Int Surg. https://doi.org/10.9738/INTSURG-D-14-00040.1

    Article  PubMed  PubMed Central  Google Scholar 

  8. Pickhardt PJ, Malecki K, Kloke J, Lubner MG (2016) Accuracy of liver surface nodularity quantifcation on MDCT as a noninvasive biomarker for staging hepatic fibrosis. AJR Am J Roentgenol. https://doi.org/10.2214/AJR.16.16514

    Article  PubMed  PubMed Central  Google Scholar 

  9. Smith AD, Zand KA, Florez E et al (2017) Liver surface nodularity score allows prediction of cirrhosis decompensation and death. Radiology. https://doi.org/10.1148/radiol.2016160799

    Article  PubMed  Google Scholar 

  10. Smith AD, Branch CR, Zand K et al (2016) Liver surface nodularity quantification from routine ct images as a biomarker for detection and evaluation of cirrhosis. Radiology. https://doi.org/10.1148/radiol.2016151542

    Article  PubMed  Google Scholar 

  11. Bassi C, Marchegiani G, Dervenis C et al (2017) The 2016 update of the International Study Group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 years after. Surgery. https://doi.org/10.1016/j.surg.2016.11.014

    Article  PubMed  Google Scholar 

  12. Miller BC, Christein JD, Behrman SW et al (2013) Assessing the impact of a fistula after a pancreaticoduodenectomy using the Post-operative Morbidity Index. HPB (Oxford). https://doi.org/10.1111/hpb.12131

    Article  PubMed  Google Scholar 

  13. Finks JF, Osborne NH, Birkmeyer JD (2011) Trends in hospital volume and operative mortality for high-risk surgery. N Engl J Med. https://doi.org/10.1056/nejmsa1010705

    Article  PubMed  PubMed Central  Google Scholar 

  14. Mungroop TH, Van Rijssen LB, Van Klaveren D et al (2019) Alternative fistula risk score for pancreatoduodenectomy (a-FRS): design and international external validation. Ann Surg. https://doi.org/10.1097/SLA.0000000000002620

    Article  PubMed  Google Scholar 

  15. Partelli S, Andreasi V, Schiavo Lena M et al (2021) The role of acinar content at pancreatic resection margin in the development of postoperative pancreatic fistula and acute pancreatitis after pancreaticoduodenectomy. Surgery. https://doi.org/10.1016/j.surg.2021.03.047

    Article  PubMed  Google Scholar 

  16. Maeda K, Kuriyama N, Yuge T et al (2022) Risk factor analysis of postoperative pancreatic fistula after distal pancreatectomy, with a focus on pancreas-visceral fat CT value ratio and serrated pancreatic contour. BMC Surg 22:240. https://doi.org/10.1186/s12893-022-01650-8

    Article  PubMed  PubMed Central  Google Scholar 

  17. Goshima S, Bae KT (2017) Liver surface nodularity as a biomarker for detection and evaluation of cirrhosis. Radiology. https://doi.org/10.1148/radiol.2017170112

    Article  PubMed  Google Scholar 

  18. Previtali C, Sartoris R, DioguardiBurgio M et al (2022) Quantitative imaging analysis predicts pancreatic fatty infltration on routine CT. Insights Imaging 13(suppl 2):24

    Google Scholar 

  19. Ambrosetti MC, Grecchi A, Ambrosetti A, Amodio A, Mansueto G, Montemezzi S, Zamboni GA (2023) Quantitative edge analysis of pancreatic margins in patients with chronic pancreatitis: a correlation with exocrine function. Diagnostics 13: https://doi.org/10.3390/diagnostics13132272

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Acknowledgements

Department of Physics and Astronomy “Galileo Galilei”, Padova, Italy

Funding

The authors state that this work has not received any funding.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria-Chiara Ambrosetti.

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Guarantor

The scientific guarantor of this publication is Professor Giulia A. Zamboni.

Conflict of interest

Giulia A. Zamboni is a member of the European Radiology Editorial Board. She has not taken part in the review or selection process of this article.

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

No complex statistical methods were necessary for this paper.

Informed consent

Informed consent for the utilization of clinical and radiologic data was provided by all patients (PAD-R registry, n1101CESC).

Ethical approval

Institutional Review Board approval was obtained (Comitato etico per la sperimentazione clinica [CESC]).

Study subjects or cohorts overlap

Some study subjects or cohorts have been previously reported as scientific poster at ESGAR 2022 with the title “Quantitative edge analysis of pancreatic margins in Patients with pancreatic head adenocarcinoma: correlations between pancreatic margins and onset of postoperative pancreatic fistula”. Gasparini C, Ambrosetti MC, Zamboni GA, Ambrosetti A, Marchegiani G, Perri G, Salvia R, Montemezzi S, Mansueto G.

Methodology

• Retrospective

• Observational

• Performed at one institution

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Ambrosetti, MC., Ambrosetti, A., Perri, G. et al. Quantitative edge analysis of pancreatic margins in patients with head pancreatic tumors: correlations between pancreatic margins and the onset of postoperative pancreatic fistula. Eur Radiol 34, 1515–1523 (2024). https://doi.org/10.1007/s00330-023-10200-6

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  • DOI: https://doi.org/10.1007/s00330-023-10200-6

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