ArticleBMJ open2023
Contribution of contrast-enhanced ultrasound in the diagnosis of adnexal torsion (AGATA): protocol for a prospective comparative study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04522219 (Contribution of Contrast Enhanced Ultrasound in the Diagnosis of Adnexal Torsion), which is not on this map. Cited by 3 papers.
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.
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.
Contribution of Contrast Enhanced Ultrasound in the Diagnosis of Adnexal Torsion: a Prospective Comparative Study
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Diagnostic accuracy of ultrasound for pediatric adnexal torsion: a systematic review and meta-analysis.International journal of emergency medicine · 2026Review
- Improving diagnostic accuracy of ovarian torsion using contrast-enhanced ultrasound: A prospective comparative clinical study of performance diagnosis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Decreased attenuation difference between non-contrast and portal-venous phases of CT predicts the ultrasonography-unspecified adnexal torsion.Insights into imaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAdnexal torsion is a surgical emergency and its prognosis depends on the time elapsed prior to treatment. The diagnosis relies on pelvic ultrasound in which sensitivity remains low and may lead to misdiagnosis.The primary objective is to evaluate the diagnostic performance of contrast-enhanced ultrasound for the diagnosis of adnexal torsion in women with suspected adnexal torsion. The secondary objectives are: (1) to describe the perfusion parameters of the ovaries by contrast-enhanced ultrasound, (2) to compare diagnostic performance of contrast ultrasound with bidimensional (2D) Doppler for the detection of adnexal torsion, (3) to describe the perfusion parameters of the ovarian as a function of the degree of adnexal torsion, (4) to compare perfusion parameters before and after ovarian detorsion and (5) to describe perfusion parameters of the ovarian by using MicroVascular Flow technique. METHODS AND ANALYSIS: This is a monocentric, prospective comparative, non-randomised, open and interventional study. We hypothesise to include 30 women: 20 positive cases compared with 10 control cases. Women are informed and recruited in the emergency ward, over a period of 36 months.The primary endpoint is the signal intensity measurement to assess sensitivity, specificity, positive and negative predictive values of contrast-enhanced ultrasound for detection of adnexal torsion in women with suspected adnexal torsion. The presence or absence of adnexal torsion is confirmed during the surgical intervention. ETHICS AND DISSEMINATION: The study was approved by the French Ethics Committee, the CPP (Comité de Protection des Personnes) OUEST I on 3 July 2020 with reference number 2020T1-16. The results of this study will be published in a peer-reviewed journal and will be presented at relevant conferences. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov registry (NCT04522219); EudraCT registry (2020-000993-27).
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Registered trials
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.