Evidence map›Paper›PMID 39468461›Full record

ArticleBMC cancer2024

Contrast-enhanced ultrasound combined with percutaneous ultrasound-guide core needle biopsies in the diagnosis of pancreatic lesions: a propensity score-matched study.

Quan Dai, Yi Tao, Zihao Wang, Likun Cui, Li Han, Tiefeng Shi, Xiaobo Wu

Abstract read
In one paragraph

Article in BMC cancer, 2024. 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

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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. 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

7 authors.

Quan DaiDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostics, Chengdu, China.
Yi TaoDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
Zihao WangDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostics, Chengdu, China.
Likun CuiDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostics, Chengdu, China.
Li HanDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostics, Chengdu, China.
Tiefeng Shi *Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nan Gang Dist., Harbin, Heilongjiang, China. shitiefeng1970@163.com.
Xiaobo Wu *Department of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostics, Chengdu, China. 520527966@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the diagnostic performance of pancreatic lesions using percutaneous ultrasound (US)-guided core needle biopsy (CNB) with and without contrast-enhanced ultrasound (CEUS).

methodThe patients were divided into two groups, US and CEUS group, based on whether CEUS was performed prior to biopsy. Before and after propensity score matching (PSM), the CNB-relevant characteristics of the two groups, including the first puncture success rate, the number of sampling, complication rate, type of complications, and degree of abdominal pain, were compared. The accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of percutaneous US-guided CNB were compared between the groups.

resultsThis study included 277 patients (173 men and 104 women) with pancreatic lesions who underwent percutaneous CNB before PSM; 190 patients in the CEUS group, and 87 in the US group prior to CNB. After controlling for potential biases using PSM, no significant differences were observed in the complication rate, type of complications, or degree of abdominal pain between the CEUS and US groups (P > 0.05). However, significant differences were observed in the first puncture success rate and the number of sampling (P < 0.05). Importantly, before and after PSM, the CEUS group achieved a higher first-puncture success rate while obtaining a lower number of sampling (P < 0.05). Compared to the US group, the CEUS group demonstrated improved accuracy, sensitivity, specificity, PPV, and NPV of 13.1%, 14.9%, 13.4%, 2.5%, and 38.7%, respectively. Furthermore, the significant difference was observed in the AUC for diagnostic performance between the two groups when compared using DeLong's test (P = 0.043).

conclusionsPerforming CEUS before percutaneous CNB for pancreatic lesions can help achieve better biopsy results, reduce the number of punctures samples, increase the success rate of biopsies, and avoid the need for repeat biopsies.

Indexed as

Contrast MediaImage-Guided BiopsyPancreatic NeoplasmsPropensity ScoreAdultAgedAged, 80 and overBiopsy, Large-Core NeedleFemaleHumansMaleMiddle AgedPancreasRetrospective StudiesSensitivity and SpecificityUltrasonographyContrast MediaContrast-enhanced ultrasoundCore needle biopsyPancreatic lesionsUltrasound guide

Identifiers

PMID39468461
PMCPMC11514780

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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.