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

Authors :
Walma M
Maggino L
Smits FJ
Borggreve AS
Daamen LA
Groot VP
Casciani F
de Meijer VE
Wessels FJ
van der Schelling GP
Nieuwenhuijs VB
Bosscha K
van der Harst E
van Dam R
Liem MS
Festen S
Stommel MWJ
Roos D
Wit F
de Hingh IH
Bonsing BA
Busch OR
Groot Koerkamp B
Kazemier G
Besselink MG
Salvia R
Malleo G
Molenaar IQ
van Santvoort HC
Source :
Journal of clinical medicine [J Clin Med] 2024 Mar 14; Vol. 13 (6). Date of Electronic Publication: 2024 Mar 14.
Publication Year :
2024

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.

Details

Language :
English
ISSN :
2077-0383
Volume :
13
Issue :
6
Database :
MEDLINE
Journal :
Journal of clinical medicine
Publication Type :
Academic Journal
Accession number :
38541904
Full Text :
https://doi.org/10.3390/jcm13061679