Evidence map›Paper›PMID 42012492›Full record

ReviewAbdominal radiology (New York)2026

Mucinous vs. non-mucinous pancreatic cysts: diagnostic keys on CT and MRI.

Marco Dioguardi Burgio, Maxime Ronot, Caroline Chassaing, Pauline Copin, Safi Dokmak, Jerome Cros, Vinciane Rebours, Louis de Mestier, Valérie Vilgrain, Riccardo Sartoris and 1 more

Abstract readReview
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In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Marco Dioguardi BurgioINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France. marco.dioguardiburgio@aphp.fr.
Maxime RonotINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Caroline ChassaingDepartment of Radiology, Beaujon Hospital, Clichy, France.
Pauline CopinDepartment of Radiology, Beaujon Hospital, Clichy, France.
Safi DokmakINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Jerome CrosINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Vinciane ReboursINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Louis de MestierINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Valérie VilgrainINSERM, Centre de recherche sur l'inflammation, Université Paris Cité, Paris, France.
Riccardo SartorisDepartment of Radiology, Beaujon Hospital, Clichy, France.
Jules GrégoryDepartment of Radiology, Beaujon Hospital, Clichy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of incidentally detected pancreatic cystic lesions has increased substantially with the widespread use of high-resolution CT and MRI. Differentiating mucinous from non-mucinous cystic lesions is a central diagnostic task, as mucinous lesions are associated with a risk of malignant transformation and distinct management pathways. In clinical practice, this distinction is primarily driven by imaging findings. This review summarizes the key CT and MRI features that allow differentiation between mucinous and non-mucinous pancreatic cystic lesions, with a focus on reproducible criteria applicable in routine practice. Particular emphasis is placed on the assessment of communication with the main pancreatic duct, lesion morphology, wall thickness and enhancement pattern, internal architecture, calcification pattern, cyst multiplicity, and associated ductal or parenchymal abnormalities. Common diagnostic challenges are discussed, including atypical lesion location, atypical presentation and imaging overlap between cystic lesions. These scenarios illustrate the limitations of relying on a single imaging criterion and highlight the need for a comprehensive, pattern-based approach. The review also underscores the importance of integrating imaging findings with patient demographics, lesion distribution, clinical context, and longitudinal imaging behavior. In selected cases, CT and MRI may not allow definitive classification, and diagnostic uncertainty should be explicitly acknowledged to guide appropriate multidisciplinary decision-making. Emerging imaging techniques, including artificial intelligence algorithms, are briefly addressed. While preliminary results are encouraging, current evidence remains insufficient to support routine clinical implementation. At present, systematic analysis of CT and MRI findings, supported by multidisciplinary expert interpretation, remains the cornerstone for differentiating mucinous from non-mucinous pancreatic cystic lesions.

Indexed as

Computed TomographyMagnetic Resonance ImagingNeoplasm, cystic, mucinous, and serousPancreatic cystPancreatic IPMN

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.