Evidence map›Paper›PMID 41995968›Full record

ArticleHernia : the journal of hernias and abdominal wall surgery2026

Diagnostic value of real-time dynamic gastric contrast ultrasound for hiatal hernia.

Qingling Jiang, Limei Chen, Ning Ma, Meiyu Hu, Taicheng Zhou, Guangjian Liu

Abstract readComparative Study
In one paragraph

Article in Hernia : the journal of hernias and abdominal wall surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qingling Jiang *Department of Medical Ultrasonics, Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, NO.26 Yuancunerheng Road, Guangzhou, 510655, People's Republic Of China.
Limei Chen *Department of Medical Ultrasonics, Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, NO.26 Yuancunerheng Road, Guangzhou, 510655, People's Republic Of China.
Ning MaDepartment of Hernia and Abdominal Wall Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Meiyu HuDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Taicheng ZhouDepartment of Hernia and Abdominal Wall Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Guangjian LiuDepartment of Medical Ultrasonics, Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, NO.26 Yuancunerheng Road, Guangzhou, 510655, People's Republic Of China. liugj@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5224-008X

Funding

The Guangdong Provincial Clinical Research Center for Digestive Diseases 2020B1111170004The Sixth Affiliated Hospital of Sun Yat-Sen University Clinical Research -'1010'Program 1010PY[2024]-20
6 · The paper itself

Abstract

purposesGastric contrast ultrasound (GCUS) is a real-time, dynamic, noninvasive and radiation-free imaging technique. The diagnostic performance of GCUS in evaluating hiatal hernia (HH) was assessed relative to that of conventional modalities.

methodsThis retrospective study enrolled 177 patients with suspected HH. GCUS was performed at rest and during the Valsalva manoeuvre. The diagnostic performance of GCUS was compared with that of upper gastrointestinal series (UGIS), oesophagogastroduodenoscopy (EGD), contrast-enhanced computed tomography (CECT), and high-resolution manometry (HRM), using surgical or comprehensive clinical diagnosis as the reference standard.

resultsGCUS demonstrated a significantly greater diagnostic area under the curve (AUC) for HH than did UGIS, EGD, CECT and HRM (0.974 vs. 0.871, 0.803, 0.822, and 0.672, respectively; all P < 0.05). The sensitivity of GCUS was significantly greater than that of EGD, CECT, and HRM (93.9% vs. 68.6%, 67.8%, and 40.0%, respectively; all P < 0.001). Notably, 52.9% (73/138) of the hernias identified by GCUS were detectable only during the Valsalva manoeuvre. Compared with hernias detectable at rest, these Valsalva-only HHs exhibited smaller hernial sacs (44 vs. 30 mm) and hiatal diameters (26 vs. 20 mm) (both P < 0.001), with significantly greater miss rates for all conventional methods (all P < 0.05).

conclusionsReal-time dynamic GCUS is a highly accurate, safe and efficient diagnostic tool for detecting HH and is particularly valuable for detecting Valsalva-only HHs, which can be easily missed by conventional methods.

Indexed as

Hernia, HiatalStomachAdultAgedContrast MediaEndoscopy, Digestive SystemFemaleHumansMaleManometryMiddle AgedRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedUltrasonographyValsalva ManeuverContrast MediaConventional modalitiesDiagnostic valueGastric contrast ultrasoundHiatal hernia

Identifiers

PMID41995968
PMCPMC13090242

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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.