Evidence map›Paper›PMID 36874260›Full record

ArticleWorld journal of radiology2023

Imaging of paraduodenal pancreatitis: A systematic review.

Matteo Bonatti, Nicolò De Pretis, Giulia A Zamboni, Alessandro Brillo, Stefano Francesco Crinò, Riccardo Valletta, Fabio Lombardo, Giancarlo Mansueto, Luca Frulloni

Open access · diamondAbstract read
In one paragraph

Article in World journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Matteo BonattiDepartment of Radiology, Ospedale Centrale di Bolzano, Bolzano 39100, Italy. matteo.bonatti@sabes.it.
Nicolò De PretisGastroenterology and Digestive Endoscopy Unit, The Pancreas Institute, G.B. Rossi University Hospital of Verona, Verona 37134, Italy.
Giulia A ZamboniDepartment of Diagnostics and Public Health, Radiology Section, Policlinico GB Rossi, University of Verona, Verona 37134, Verona, Italy.
Alessandro BrilloGastroenterology and Digestive Endoscopy Unit, The Pancreas Institute, G.B. Rossi University Hospital of Verona, Verona 37134, Italy.
Stefano Francesco CrinòDepartment of Medicine, University of Verona, Verona 37134, Italy.
Riccardo VallettaDepartment of Radiology, Ospedale Centrale di Bolzano, Bolzano 39100, Italy.
Fabio LombardoDepartment of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar 37024, Italy.
Giancarlo MansuetoDepartment of Diagnostics and Public Health, Radiology Section, Policlinico GB Rossi, University of Verona, Verona 37134, Verona, Italy.
Luca FrulloniGastroenterology and Digestive Endoscopy Unit, The Pancreas Institute, G.B. Rossi University Hospital of Verona, Verona 37134, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParaduodenal pancreatitis (PP) represents a diagnostic challenge, especially in non-referral centers, given its potential imaging overlap with pancreatic cancer. There are two main histological variants of PP, the cystic and the solid, with slightly different imaging appearances. Moreover, imaging findings in PP may change over time because of disease progression and/or as an effect of its risk factors exposition, namely alcohol intake and smoking.

aimTo describe multimodality imaging findings in patients affected by PP to help clinicians in the differential diagnosis with pancreatic cancer.

methodsThe systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-analyses 2009 guidelines. A Literature search was performed on PubMed, Embase and Cochrane Library using (groove pancreatitis [Title/Abstract]) OR (PP [Title/Abstract]) as key words. A total of 593 articles were considered for inclusion. After eliminating duplicates, and title and abstract screening, 53 full-text articles were assessed for eligibility. Eligibility criteria were: Original studies including 8 or more patients, fully written in English, describing imaging findings in PP, with pathological confirmation or clinical-radiological follow-up as the gold standard. Finally, 14 studies were included in our systematic review.

resultsComputed tomography (CT) findings were described in 292 patients, magnetic resonance imaging (MRI) findings in 231 and endoscopic ultrasound (EUS) findings in 115. Duodenal wall thickening was observed in 88.8% of the cases: Detection rate was 96.5% at EUS, 91.0% at MRI and 84.1% at CT. Second duodenal portion increased enhancement was recognizable in 76.3% of the cases: Detection rate was 84.4% at MRI and 72.1% at CT. Cysts within the duodenal wall were detected in 82.6% of the cases: Detection rate was 94.4% at EUS, 81.9% at MRI and 75.7% at CT. A solid mass in the groove region was described in 40.9% of the cases; in 78.3% of the cases, it showed patchy enhancement in the portal venous phase, and in 100% appeared iso/hyperintense during delayed phase imaging. Only 3.6% of the lesions showed restricted diffusion. The prevalence of radiological signs of chronic obstructive pancreatitis, namely main pancreatic duct dilatation, pancreatic calcifications, and pancreatic cysts, was extremely variable in the different articles.

conclusionPP has peculiar imaging findings. MRI is the best radiological imaging modality for diagnosing PP, but EUS is more accurate than MRI in depicting duodenal wall alterations.

Indexed as

Computed tomographyDiagnostic imagingEndoscopic ultrasoundMagnetic resonance imagingPancreatitisParaduodenal pancreatitis

Identifiers

PMID36874260
PMCPMC9979191
OpenAlexW4321599984

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.