Abstract

Background

Lymph node staging of ductal adenocarcinoma of the pancreatic head (PDAC) by cross-sectional imaging is limited. The aim of this study was to determine the diagnostic accuracy of expanded criteria in nodal staging in PDAC patients.

Methods

Sixty-six patients with histologically confirmed PDAC that underwent primary surgery were included in this retrospective IRB-approved study. Cross-sectional imaging studies (CT and/or MRI) were evaluated by a radiologist blinded to histopathology. Number and size of lymph nodes were measured (short-axis diameter) and characterized in terms of expanded morphological criteria of border contour (spiculated, lobulated, and indistinct) and texture (homogeneous or inhomogeneous). Sensitivities and specificities were calculated with histopathology as a reference standard.

Results

Forty-eight of 66 patients (80%) had histologically confirmed lymph node metastases (pN+). Sensitivity, specificity, and Youden’s Index for the criterion “size” were 44.2%, 82.4%, and 0.27; for “inhomogeneous signal intensity” 25.6%, 94.1%, and 0.20; and for “border contour” 62.7%, 52.9%, and 0.16, respectively. There was a significant association between the number of visible lymph nodes on preoperative CT and lymph node involvement (pN+, p = 0.031).

Conclusion

Lymph node staging in PDAC is mainly limited due to low sensitivity for detection of metastatic disease. Using expanded morphological criteria instead of size did not improve regional nodal staging due to sensitivity remaining low. Combining specific criteria yields improved sensitivity with specificity and PPV remaining high.

Details

Title
Accuracy of various criteria for lymph node staging in ductal adenocarcinoma of the pancreatic head by computed tomography and magnetic resonance imaging
Author
Loch, Florian N  VIAFID ORCID Logo  ; Asbach, Patrick; Haas, Matthias; Seeliger, Hendrik; Beyer, Katharina; Schineis, Christian; Degro, Claudius E; Margonis, Georgios A; Kreis, Martin E; Kamphues, Carsten
Pages
1-10
Section
Research
Publication year
2020
Publication date
2020
Publisher
BioMed Central
e-ISSN
14777819
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2435319652
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.