Evidence map›Paper›PMID 36140506›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Quantitative Software Analysis of Endoscopic Ultrasound Images of Pancreatic Cystic Lesions.

Bánk Keczer, Márton Benke, Tamás Marjai, Miklós Horváth, Pál Miheller, Ákos Szücs, László Harsányi, Attila Szijártó, István Hritz

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Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Endoscopic management of pancreatic cystic neoplasms.World journal of gastrointestinal oncology · 2025
    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

9 authors.

Bánk KeczerDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Márton BenkeDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Tamás MarjaiDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Miklós HorváthDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Pál MihellerDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Ákos SzücsDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
László HarsányiDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
Attila SzijártóDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.
István HritzDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary.ORCID 0000-0002-8763-6006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic ultrasonography (EUS) is the most accurate imaging modality for the evaluation of different types of pancreatic cystic lesions. Our aim was to analyze EUS images of pancreatic cystic lesions using an image processing software. We specified the echogenicity of the lesions by measuring the gray value of pixels inside the selected areas. The images were divided into groups (serous cystic neoplasm /SCN/, intraductal papillary mucinous neoplasms and mucinous cystic neoplasms /Non-SCN/ and Pseudocyst) according to the pathology results of the lesions. Overall, 170 images were processed by the software: 81 in Non-SCN, 30 in SCN and 59 in Pseudocyst group. The mean gray value of the entire lesion in the Non-SCN group was significantly higher than in the SCN group (27.8 vs. 18.8; p < 0.0005). The area ratio in the SCN, Non-SCN and Pseudocyst groups was 57%, 39% and 61%, respectively; significantly lower in the Non-SCN group than in the SCN or Pseudocyst groups (p < 0.0005 and p < 0.0005, respectively). The lesion density was also significantly higher in the Non-SCN group compared to the SCN or Pseudocyst groups (4186.6/mm2 vs. 2833.8/mm2 vs. 2981.6/mm2; p < 0.0005 and p < 0.0005, respectively). The EUS image analysis process may have the potential to be a diagnostic tool for the evaluation and differentiation of pancreatic cystic lesions.

Indexed as

endoscopic ultrasonographyendosonographypancreatic cystic neoplasmspancreatic cystspseudocystssoftware analyzing

Identifiers

PMID36140506
PMCPMC9498186

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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.