Decreased CT-number in the pancreatic parenchyma is a reliable imaging biomarker of the presence of malignancies in patients with high-risk intraductal papillary mucinous neoplasm.
Aged
Biomarkers
Carcinoma, Intraductal, Noninfiltrating
/ diagnostic imaging
Cohort Studies
Female
Humans
Male
Middle Aged
Pancreas
/ diagnostic imaging
Pancreatectomy
Pancreatic Function Tests
Pancreatic Juice
/ cytology
Pancreatic Neoplasms
/ diagnostic imaging
Predictive Value of Tests
Prognosis
Spleen
/ diagnostic imaging
Tomography, X-Ray Computed
CT number of pancreas
IPMN
Pancreatic cancer
Pancreatic steatosis
Journal
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
ISSN: 1424-3911
Titre abrégé: Pancreatology
Pays: Switzerland
ID NLM: 100966936
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
received:
27
09
2019
revised:
29
01
2020
accepted:
18
02
2020
pubmed:
9
3
2020
medline:
27
2
2021
entrez:
9
3
2020
Statut:
ppublish
Résumé
Intraductal papillary mucinous neoplasm (IPMN) is a premalignant cystic neoplasm of the pancreas and is frequently detected in imaging investigations. A proportion of the patients with IPMN develop malignancies including high-grade dysplasia and invasive carcinoma. To predict the presence of malignancies in IPMN, constant imaging follow-up is usually required. Pancreatic steatosis (PS) has been recently identified as a facilitating factor for pancreatic cancer, and can be predicted through computed tomography (CT). We hypothesized that the CT-number of the pancreatic parenchyma could be a new reliable imaging biomarker for IPMN patients. Eighty-six patients undergoing pancreatectomy for IPMN were investigated. Using preoperative CT, the pancreatic index (PI) was calculated by dividing the CT-number of the pancreas by that of the spleen. Malignancies were pathologically detected in 63 cases (73.3%). Patients were divided into two cohorts according to the presence of malignancies and were compared for various factors including the PI scores. The comparison of the two cohorts detected significant differences in two parameters (CA19-9 and PI score), and the PI score was the most sensitive biomarker to predict the presence of malignancies in patients showing high-risk stigmata of IPMN. Pancreatic CT-number is an additional reliable imaging biomarker in distinguishing patients with IPMN having malignancies when investigating the patients showing high-risk stigmata.
Sections du résumé
BACKGROUND
BACKGROUND
Intraductal papillary mucinous neoplasm (IPMN) is a premalignant cystic neoplasm of the pancreas and is frequently detected in imaging investigations. A proportion of the patients with IPMN develop malignancies including high-grade dysplasia and invasive carcinoma. To predict the presence of malignancies in IPMN, constant imaging follow-up is usually required. Pancreatic steatosis (PS) has been recently identified as a facilitating factor for pancreatic cancer, and can be predicted through computed tomography (CT). We hypothesized that the CT-number of the pancreatic parenchyma could be a new reliable imaging biomarker for IPMN patients.
METHODS
METHODS
Eighty-six patients undergoing pancreatectomy for IPMN were investigated. Using preoperative CT, the pancreatic index (PI) was calculated by dividing the CT-number of the pancreas by that of the spleen.
RESULTS
RESULTS
Malignancies were pathologically detected in 63 cases (73.3%). Patients were divided into two cohorts according to the presence of malignancies and were compared for various factors including the PI scores. The comparison of the two cohorts detected significant differences in two parameters (CA19-9 and PI score), and the PI score was the most sensitive biomarker to predict the presence of malignancies in patients showing high-risk stigmata of IPMN.
CONCLUSIONS
CONCLUSIONS
Pancreatic CT-number is an additional reliable imaging biomarker in distinguishing patients with IPMN having malignancies when investigating the patients showing high-risk stigmata.
Identifiants
pubmed: 32146046
pii: S1424-3903(20)30050-8
doi: 10.1016/j.pan.2020.02.014
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
442-447Informations de copyright
Copyright © 2020 IAP and EPC. Published by Elsevier B.V. All rights reserved.