Towards a Simplified and Cost-Effective Diagnostic Algorithm for the Surveillance of Intraductal Papillary Mucinous Neoplasms (IPMNs): Can We Save Contrast for Later?

MRCP contrast medium cystic neoplasm imaging intraductal papillary mucinous neoplasm (IPMN) pancreas surveillance

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
23 Feb 2024
Historique:
received: 08 02 2024
revised: 20 02 2024
accepted: 21 02 2024
medline: 13 3 2024
pubmed: 13 3 2024
entrez: 13 3 2024
Statut: epublish

Résumé

The increased detection of pancreatic cysts in recent years has triggered extensive diagnostic investigations to clarify their potential risk of malignancy, resulting in a large number of patients undergoing numerous imaging follow-up studies for many years. Therefore, there is a growing need for optimization of the current surveillance protocol to reduce both healthcare costs and waiting lists, while still maintaining appropriate sensibility and specificity. Imaging is an essential tool for evaluating patients with intraductal papillary mucinous neoplasms (IPMNs) since it can assess several predictors for malignancy and thus guide further management recommendations. Although contrast-enhanced magnetic resonance imaging (MRI) with magnetic resonance cholangiopancreatography (MRCP) has been widely recommended by most international guidelines, recent results support the use of unenhanced abbreviated-MRI (A-MRI) protocols as a surveillance tool in patients with IPMN. In fact, A-MRI has shown high diagnostic performance in malignant detection, with high sensitivity and specificity as well as excellent interobserver agreement. The aim of this paper is, therefore, to discuss the current available evidence on whether the implementation of an abbreviated-MRI (A-MRI) protocol for cystic pancreatic lesion surveillance could improve healthcare economics and reduce waiting lists in clinical practice without significantly reducing diagnostic accuracy.

Identifiants

pubmed: 38473267
pii: cancers16050905
doi: 10.3390/cancers16050905
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Nicolò Brandi (N)

Department of Radiology, Alma Mater Studiorum University of Bologna, 40138 Bologna, Italy.
Department of Radiology, AUSL Romagna, 48018 Faenza, Italy.

Matteo Renzulli (M)

Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.

Classifications MeSH