Evidence map›Paper›PMID 40248936›Full record

ArticleCurrent medical imaging2025

From Cup to Scan: The Impact of Black Tea on Magnetic Resonance Cholangiopancreatography Signal Suppression

Sihua Liang, Yiman Wang, Huiyi Liang, Xuefen Yu, Nengwei Wang, Lin Qiu

Abstract read
In one paragraph

Article in Current medical imaging, 2025. 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

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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. Observational
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

6 authors.

Sihua LiangMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.
Yiman WangDepartment of Ultrasound, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.
Huiyi LiangMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.
Xuefen YuDepartment of General Medicine, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.
Nengwei WangMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.
Lin QiuMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study is to evaluate the potential of black tea as a negative oral contrast agent in Magnetic Resonance Cholangiopancreatography (MRCP) to improve image quality by reducing gastrointestinal fluid signals.

backgroundRetained gastrointestinal fluids can interfere with ductal imaging during MRCP, and suitable oral negative contrast agents are not widely available.

methodTwo types of black tea (Lapsang Souchong and Yinghong NO9) were tested in vitro at different concentrations (3g, 6g, and 9g) to assess their T2 signal suppression. The tea with the best signal suppression was selected for a prospective clinical study involving 51 patients undergoing MRCP. Signal intensity, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured before and after black tea administration.

resultIn vitro experiments showed that the 9g concentration of Lapsang Souchong tea provided the most effective T2 signal suppression, with manganese and iron ion concentrations of 4.705 mg/L and 0.040 mg/L, respectively. In the clinical study, paired T-tests revealed a significant decrease in gastrointestinal fluid signals after black tea administration, with a mean signal intensity reduction in the stomach and duodenum. The SNR in the duodenal bulb increased significantly, while no significant differences were observed in SNR and CNR in other gastrointestinal segments.

conclusionBlack tea, rich in iron and manganese, effectively reduces gastrointestinal fluid signals, potentially enhancing MRCP image quality. Further research is warranted to explore its clinical application.

Indexed as

Cholangiopancreatography, Magnetic ResonanceContrast MediaTeaAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSignal-To-Noise RatioContrast MediaTeaBlack Tea.Contrast AgentsGastrointestinal TractMagnetic Resonance Cholangiopancreatography

Identifiers

PMID40248936
PMCPMC13126298

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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.