Evidence map›Paper›PMID 41921105›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2026

Diagnostic Accuracy of Transvaginal Ultrasound for Detecting Pelvic Adhesions and Predicting Surgical Time in Benign Gynecologic Surgery.

Cristian Morales, Emilia Crovo, Sofia Morales, Valentina Borquez, Claudia Hinojosa, Rodrigo Assar, Juan Luis Alcázar

Abstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Comment on "Diagnostic Accuracy of Transvaginal Ultrasound for Detecting Pelvic Adhesions and Predicting Surgical Time in Benign Gynecologic Surgery".Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Article
  2. Advances in Ultrasound-Based Diagnosis of Pelvic Adhesions: From Traditional Sliding Sign to Machine Learning-Enhanced Detection.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    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.

Cristian MoralesDepartamento de Ginecología y Obstetricia, Facultad de Medicina, Clínica Alemana - Universidad del Desarrollo, Santiago, Chile.ORCID https://orcid.org/0000-0002-3909-8127
Emilia CrovoDepartamento de Ginecología y Obstetricia, Facultad de Medicina, Clínica Alemana - Universidad del Desarrollo, Santiago, Chile.
Sofia MoralesDepartamento de Ginecología y Obstetricia, Hospital San Juan de Dios, Santiago, Chile.
Valentina BorquezDepartamento de Ginecología y Obstetricia, Hospital San Juan de Dios, Santiago, Chile.
Claudia HinojosaDepartamento de Ginecología y Obstetricia, Hospital San Juan de Dios, Santiago, Chile.
Rodrigo AssarInstituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Juan Luis AlcázarDepartamento de Ginecología y Obstetricia, Hospital QuironSalud, Málaga, España.ORCID https://orcid.org/0000-0002-9700-0853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the diagnostic accuracy of transvaginal ultrasound using the sliding sign for detecting pelvic adhesions and its correlation with operative time in laparoscopic surgery for benign gynecologic conditions.

methodsA prospective, blinded diagnostic accuracy study was performed at Hospital San Juan de Dios, Santiago, Chile, from February 2022 to September 2023. Patients scheduled for benign laparoscopic surgery underwent preoperative transvaginal ultrasound within 30 days. Retrocervical and high sliding signs, adnexal mobility, and peritoneal pseudocysts were evaluated. Laparoscopic findings were the reference standard. Diagnostic accuracy and operative times were analyzed.

resultsA total of 202 patients were included (mean age 36 years). Pelvic adhesions were identified intraoperatively in 63 patients (31.2%), mainly loose adhesions (28.7%). The retrocervical sliding sign showed the best performance for Pouch of Douglas (POD) obliteration (sensitivity 65%, specificity 96%, accuracy 93.5%). Adnexal mobility tests had moderate sensitivity (53-64%) but high specificity (>90%). The high sliding sign was poorly sensitive (16%) but high specificity (95%). Negative sliding signs were associated with longer operative time (139 versus 60 minutes; p < .01). Obliteration of the POD was strongly linked to chronic pelvic pain, infertility, and deep infiltrating endometriosis (p < .01). A history of laparotomy was a significant risk factor for adhesions (38.3% versus 13.6%; p < .001).

conclusionTransvaginal ultrasound, particularly the sliding sign, is a reliable tool for excluding pelvic adhesions. Its high specificity and negative predictive value support its routine use in preoperative evaluation and surgical planning for benign gynecologic procedures.

Indexed as

Genital Diseases, FemaleGynecologic Surgical ProceduresOperative TimeAdultFemaleHumansLaparoscopyMiddle AgedPelvisProspective StudiesReproducibility of ResultsSensitivity and SpecificityTissue AdhesionsUltrasonographyVaginaoperative timepelvic adhesionsPouch of Douglas obliterationsliding signtransvaginal ultrasound

Identifiers

PMID41921105
PMCPMC13489664

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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.