Radiological prediction of portal vein infiltration in patients with pancreatic ductal adenocarcinoma

Hryhoriy Lapshyn, Theresa Schulte, Stefan Sondermann, Katharina May, Ekaterina Petrova, Kim C. Honselmann, Rüdiger Braun, Sergii Zemskov, Tobias Keck, Ulrich F. Wellner, Dirk Bausch, Louisa Bolm*

*Corresponding author for this work

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive gastrointestinal malignancy characterized by early loco-regional invasion. Portal vein resection (PVR) during pancreatoduodenectomy (PD) for PDAC is performed if tumor cell invasion to the venous wall (PVI) is suspected. The aim of this study is to evaluate radiological criteria for predicting PVR and PVI. Methods: Patients undergoing PD for PDAC were identified from a prospectively maintained database. On the basis of CT- and MRI-based imaging portal vein tumor contact (PV), stranding of the superior mesenteric artery (SMA) and any alterations of the superior mesenterico-portal vein (SMPV) were evaluated. The accuracy of PVI and PVR prediction based on the radiological parameters was calculated. Results: 143 patients were included in the study. 48 patients underwent PVR (34%), PVI was diagnosed in 23 patients (16%). Median overall survival was 22 months. Prediction of PVR (sensitivity 79%, negative predictive value 88%, p = 0.010) and PVI (sensitivity 95%, negative predictive value 99%, p = 0.002) was most accurate for any SMPV alterations as compared to the other radiological parameters. SMPV alterations qualified as an independent prognostic parameter (26.5 months vs. 33.5months, p = 0.034). Conclusion: Radiological evaluation of any SMPV alterations is a simple preoperative method to accurately predict PVI. Assessing SMPV alterations may help to identify candidates for neoadjuvant therapy.

Original languageEnglish
JournalPancreatology
Volume21
Issue number1
Pages (from-to)155-162
Number of pages8
ISSN1424-3903
DOIs
Publication statusPublished - 01.01.2021

Research Areas and Centers

  • Research Area: Center for Population Medicine and Public Health (ZBV)

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