Evidence map›Paper›PMID 34374885›Full record

ReviewInsights into imaging2021

Cystic pancreatic lesions: MR imaging findings and management.

Giovanni Morana, Pierluigi Ciet, Silvia Venturini

Abstract readReview
In one paragraph

Review in Insights into imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Rare pancreatic cystic neoplasms: A pictorial review.European journal of radiology open · 2025
    Article
  10. Article
  11. Imaging of the Liver and Pancreas: The Added Value of MRI.Diagnostics (Basel, Switzerland) · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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

3 authors.

Giovanni MoranaDepartment of Radiology, Regional Hospital Ca' Foncello, Piazza Ospedale 1, 3100, Treviso, Italy. gmorana61@gmail.com.ORCID http://orcid.org/0000-0003-3144-2963
Pierluigi CietDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Silvia VenturiniDepartment of Radiology, Regional Hospital Ca' Foncello, Piazza Ospedale 1, 3100, Treviso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic pancreatic lesions (CPLs) are frequently casual findings in radiological examinations performed for other reasons in patients with unrelated symptoms. As they require different management according to their histological nature, differential diagnosis is essential. Radiologist plays a key role in the diagnosis and management of these lesions as imaging is able to correctly characterize most of them and thus address to a correct management. The first step for a correct characterization is to look for a communication between the CPLs and the main pancreatic duct, and then, it is essential to evaluate the morphology of the lesions. Age, sex and a history of previous pancreatic pathologies are important information to be used in the differential diagnosis. As some CPLs with different pathologic backgrounds can show the same morphological findings, differential diagnosis can be difficult, and thus, the final diagnosis can require other techniques, such as endoscopic ultrasound, endoscopic ultrasound-fine needle aspiration and endoscopic ultrasound-through the needle biopsy, and multidisciplinary management is important for a correct management.

Indexed as

CystadenomaMucinousPancreatic cystPancreatic intraductal neoplasmsPancreatic neoplasmsSerous

Identifiers

PMID34374885
PMCPMC8355307

What OpenQuestion holds

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Registered trials

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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.