Evidence map›Paper›PMID 38191513›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting.

Lianhua Zhu, Nan Li, Yaqiong Zhu, Peng Han, Bo Jiang, Miao Li, Yukun Luo, Dirk-André Clevert, Xiang Fei

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
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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 2 institutions in 2 countries.

Lianhua Zhu *Department of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Nan Li *Department of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yaqiong ZhuDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Peng HanDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Bo JiangDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Miao LiDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yukun LuoDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Dirk-André ClevertDepartment of Clinical Radiology, Interdisciplinary Ultrasound-Center, University of Munich, Grosshadern Campus, Munich, Germany. Dirk.Clevert@med.uni-muenchen.de.
Xiang FeiDepartment of Ultrasound, the First Medical Center, Chinese PLA General Hospital, Beijing, China. george301feixiang@163.com.
Chinese PLA General Hospital · CNLudwig-Maximilians-Universität München · DE

Funding

Science and Technology "Three Talents One Team" Project of Joint Logistic Support Force of PLA 4143529
6 · The paper itself

Abstract

backgroundUltrasound (US) has been widely used in screening and differential diagnosis of gallbladder wall thickening (GWT). However, the sensitivity and specificity for diagnosing wall-thickening type gallbladder cancer are limited, leading to delayed treatment or overtreatment. We aim to explore the value of high frame rate contrast enhanced ultrasound (H-CEUS) in distinguishing wall-thickening type gallbladder cancer (malignant) from GWT mimicking malignancy (benign).

methodsThis retrospective study enrolled consecutive patients with non-acute GWT who underwent US and H-CEUS examination before cholecystectomy. Clinical information, US image and H-CEUS image characteristics between malignant and benign GWT were compared. The independent risk factors for malignant GWT on H-CEUS images were selected by multivariate logistic regression analysis. The diagnostic performance of H-CEUS in determining malignant GWT was compared with that of the gallbladder reporting and data system (GB-RADS) score.

resultsForty-six patients included 30 benign GWTs and 16 malignant GWTs. Only mural layering and interface with liver on US images were significantly different between malignant and benign GWT (P < 0.05). Differences in enhancement direction, vascular morphology, serous layer continuity, wash-out time and mural layering in the venous phase of GWT on H-CEUS images were significant between malignant and benign GWT (P < 0.05). The sensitivity, specificity and accuracy of H-CEUS based on enhancement direction, vascular morphology and wash-out time in the diagnosis of malignant GWT were 93.75%, 90.00%, and 91.30%, respectively. However, the sensitivity, specificity and accuracy of the GB-RADS score were only 68.75%, 73.33% and 71.74%, respectively. The area under ROC curve (AUC) of H-CEUS was significantly higher than that of the GB-RADS score (AUC = 0.965 vs. 0.756).

conclusionsH-CEUS can accurately detect enhancement direction, vascular morphology and wash-out time of GWT, with a higher diagnostic performance than the GB-RADS score in determining wall-thickening type gallbladder cancer. This study provides a novel imaging means with high accuracy for the diagnosis of wall-thickening type gallbladder cancer, thus may be better avoiding delayed treatment or overtreatment.

Indexed as

Gallbladder NeoplasmsHumansRetrospective StudiesUltrasonographyVeinsDiagnosisGallbladder carcinomaGallbladder reporting and data systemGallbladder wall thickeningHigh frame rate contrast enhanced ultrasound

Identifiers

PMID38191513
PMCPMC10775603
OpenAlexW4390662168

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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.