Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a poor prog-nosis. Accurate preoperative assessment using computed tomography (CT) to determine resectability is crucial in ensuring patients are offered the most appropriate therapeutic strategy. Despite the use of classification guidelines, any interobserver variability between reviewing surgeons and radiologists may confound decisions influencing patient treatment pathways. Methods: In this multicentre observational study, an international group of 96 clinicians (42 hepato-pancreatobiliary surgeons and 54 radiologists) were surveyed and asked to report 30 pancreatic CT scans of pancreatic cancer deemed borderline at respective multidisciplinary meetings (MDM). The degree of interobserver agreement in resectability among radiologists and surgeons was assessed and subgroup regression analysis was performed. Results: Interobserver variability between reviewers was high with no unanimous agreement. Overall interobserver agreement was fair with a kappa value of 0.32 with a higher rate of agreement among radiologists over surgeons. Conclusion: Interobserver variability among radiologists and surgeons globally is high, calling into question the consistency of clinical decision making for patients with PDAC and suggesting that central review may be required for studies of neoadjuvant or adjuvant approaches in future as well as ongoing quality control initiatives, even amongst experts in the field.
| Original language | English |
|---|---|
| Pages (from-to) | 1393-1401 |
| Number of pages | 9 |
| Journal | HPB |
| Volume | 25 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Nov 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Author(s)
Open Access - Access Right Statement
© 2023 The Author(s). Published by Elsevier Ltd on behalf of International Hepato-Pancreato-Biliary Association Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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