The Difficulty of Detecting Occult Metastases in Patients with Potentially Resectable Pancreatic Cancer: Development and External Validation of a Preoperative Prediction Model

Author:

Walma Marieke12,Maggino Laura3,Smits F. Jasmijn1,Borggreve Alicia S.1,Daamen Lois A.1,Groot Vincent P.1,Casciani Fabio3ORCID,de Meijer Vincent E.4ORCID,Wessels Frank J.5,van der Schelling George P.6,Nieuwenhuijs Vincent B.7,Bosscha Koop8,van der Harst Erwin van der9,van Dam Ronald van10,Liem Mike S.11,Festen Sebastiaan12,Stommel Martijn W. J.13,Roos Daphne14,Wit Fennie15,de Hingh Ignace H. de16,Bonsing Bert A.17,Busch Olivier R.2,Groot Koerkamp Bas18,Kazemier Geert2,Besselink Marc G.2,Salvia Roberto3ORCID,Malleo Giuseppe3ORCID,Molenaar I. Quintus1,van Santvoort Hjalmar C.1

Affiliation:

1. Department of Surgery, Regional Academic Cancer Center Utrecht, University Medical Center Utrecht and St. Antonius Hospital, University Utrecht, 3508 GA Utrecht, The Netherlands

2. Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands

3. The Pancreas Institute, University of Verona Hospital Trust, 37134 Verona, Italy

4. Department of Surgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands

5. Department of Radiology, Regional Academic Cancer Center Utrecht, University Medical Center Utrecht and St. Antonius Hospital, University Utrecht, 3508 GA Utrecht, The Netherlands

6. Department of Surgery, Amphia Hospital Breda, 4818 CK Breda, The Netherlands

7. Department of Surgery, Isala Hospital, 8025 AB Zwolle, The Netherlands

8. Department of Surgery, Jeroen Bosch Hospital, 5223 GZ ‘s-Hertogenbosch, The Netherlands

9. Department of Surgery, Maasstad Hospital, 3079 DZ Rotterdam, The Netherlands

10. Department of Surgery, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands

11. Department of Surgery, Medical Spectrum Twente, 7511 HN Enschede, The Netherlands

12. Department of Surgery, Onze Lieve Vrouwe Gasthuis, 1091 AC Amsterdam, The Netherlands

13. Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands

14. Department of Surgery, Reiner de Graaf Hospital, 2625 AD Delft, The Netherlands

15. Department of Surgery, Tjongerschans Hospital, 8441 PW Heerenveen, The Netherlands

16. Department of Surgery, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands

17. Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands

18. Department of Surgery, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands

Abstract

Occult metastases are detected in 10–15% of patients during exploratory laparotomy for pancreatic cancer. This study developed and externally validated a model to predict occult metastases in patients with potentially resectable pancreatic cancer. Model development was performed within the Dutch Pancreatic Cancer Audit, including all patients operated for pancreatic cancer (January 2013–December 2017). Multivariable logistic regression analysis based on the Akaike Information Criteria was performed with intraoperative pathologically proven metastases as the outcome. The model was externally validated with a cohort from the University Hospital of Verona (January 2013–December 2017). For model development, 2262 patients were included of whom 235 (10%) had occult metastases, located in the liver (n = 143, 61%), peritoneum (n = 73, 31%), or both (n = 19, 8%). The model included age (OR 1.02, 95% CI 1.00–1.03), BMI (OR 0.96, 95% CI 0.93–0.99), preoperative nutritional support (OR 1.73, 95% CI 1.01–2.74), tumor diameter (OR 1.60, 95% CI 1.04–2.45), tumor composition (solid vs. cystic) (OR 2.33, 95% CI 1.20–4.35), and indeterminate lesions on preoperative imaging (OR 4.01, 95% CI 2.16–7.43). External validation showed poor discrimination with a C-statistic of 0.56. Although some predictor variables were significantly associated with occult metastases, the model performed insufficiently at external validation.

Publisher

MDPI AG

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3