Evidence map›Paper›PMID 36157539›Full record

ReviewWorld journal of gastroenterology2022

Enhanced endoscopic ultrasound imaging for pancreatic lesions: The road to artificial intelligence.

Marco Spadaccini, Glenn Koleth, James Emmanuel, Kareem Khalaf, Antonio Facciorusso, Fabio Grizzi, Cesare Hassan, Matteo Colombo, Benedetto Mangiavillano, Alessandro Fugazza and 3 more

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Comparison of standardWorld journal of methodology · 2025
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Role of Artificial Intelligence in Endoscopic Intervention: A Clinical Review.Journal of community hospital internal medicine perspectives · 2024
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
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

13 authors.

Marco SpadacciniDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy. marco.spadaccini@humanitas.it.
Glenn KolethDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
James EmmanuelDepartment of Gastroenterology and Hepatology, Queen Elizabeth, Kota Kinabalu 88200, Sabah, Malaysia.
Kareem KhalafDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Antonio FacciorussoSection of Gastroenterology, Department of Medical Sciences, University of Foggia, Foggia 71122, Italy.
Fabio GrizziDepartment of Immunology and Inflammation, Humanitas Clinical and Research Hospital, Rozzano 20089, Italy.
Cesare HassanDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Matteo ColomboDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Benedetto MangiavillanoDigestive Endoscopy Unit, Division of Gasteroenterology, Humanitas Mater Domini, Castellanza 21053, Italy.
Alessandro FugazzaDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Andrea AnderloniDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Silvia CarraraDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.
Alessandro RepiciDigestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Milan 20800, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of pancreatic cancer has long eluded clinicians because of its insidious nature and onset. Often metastatic or locally invasive when symptomatic, most patients are deemed inoperable. In those who are symptomatic, multi-modal imaging modalities evaluate and confirm pancreatic ductal adenocarcinoma. In asymptomatic patients, detected pancreatic lesions can be either solid or cystic. The clinical implications of identifying small asymptomatic solid pancreatic lesions (SPLs) of < 2 cm are tantamount to a better outcome. The accurate detection of SPLs undoubtedly promotes higher life expectancy when resected early, driving the development of existing imaging tools while promoting more comprehensive screening programs. An imaging tool that has matured in its reiterations and received many image-enhancing adjuncts is endoscopic ultrasound (EUS). It carries significant importance when risk stratifying cystic lesions and has substantial diagnostic value when combined with fine needle aspiration/biopsy (FNA/FNB). Adjuncts to EUS imaging include contrast-enhanced harmonic EUS and EUS-elastography, both having improved the specificity of FNA and FNB. This review intends to compile all existing enhancement modalities and explore ongoing research around the most promising of all adjuncts in the field of EUS imaging, artificial intelligence.

Indexed as

Elasticity Imaging TechniquesPancreatic NeoplasmsArtificial IntelligenceEndoscopic Ultrasound-Guided Fine Needle AspirationHumansPancreasArtificial intelligenceContrast-enhanced endoscopic ultrasoundEndoscopic ultrasoundEndoscopic ultrasound contrast agentsEndoscopic ultrasound elastographyEndoscopyFractal analysisImagingPancreatic cancerPancreatic ductal adenocarcinoma

Identifiers

PMID36157539
PMCPMC9367228

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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.