Evidence map›Paper›PMID 31858287›Full record

ReviewInsights into imaging2019

Cross-sectional imaging of acute gynaecologic disorders: CT and MRI findings with differential diagnosis-part II: uterine emergencies and pelvic inflammatory disease.

Pietro Valerio Foti, Massimo Tonolini, Valeria Costanzo, Luca Mammino, Stefano Palmucci, Antonio Cianci, Giovanni Carlo Ettorre, Antonio Basile

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06004908 (Role of MRI in Diagnosis of Causes of Postmenopausal Bleeding in Correlation to Histopathological Results), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT06004908 unknown statusnot on this mapstarted 2023, after this paper: background citation

Role of MRI in Diagnosis of Causes of Postmenopausal Bleeding in Correlation to Histopathological Results

TypeobservationalSponsorAssiut UniversityRan2023 to 2024Enrolled36ConditionsPostmenopausal BleedingArmsMRI
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. The Many Faces of the Angry Peritoneum.Diagnostics (Basel, Switzerland) · 2025
    Review
  6. Review
  7. Article
  8. Uterine Inversion.Radiographics : a review publication of the Radiological Society of North America, Inc · 2023
    Article
  9. Testing for Mycoplasma genitalium in pelvic inflammatory disease: A clinical audit.The Australian & New Zealand journal of obstetrics & gynaecology · 2022
    Article
  10. Review
  11. Article
  12. Review
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

8 authors at 3 institutions in 1 country.

Pietro Valerio FotiDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Massimo TonoliniDepartment of Radiology, "Luigi Sacco" University Hospital, Via G.B. Grassi 74, 20157, Milan, Italy. mtonolini@sirm.org.ORCID http://orcid.org/0000-0001-9900-1801
Valeria CostanzoDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Luca MamminoDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Stefano PalmucciDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Antonio CianciDepartment of General Surgery and Medical-Surgical Specialties, Institute of Obstetrics and Gynecology, University of Catania, Catania, Italy.
Giovanni Carlo EttorreDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Antonio BasileDepartment of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Azienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · ITLuigi Sacco Hospital · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the growing use of cross-sectional imaging in emergency departments, acute gynaecologic disorders are increasingly diagnosed on urgent multidetector computed tomography (CT) studies, often requested under alternative presumptive diagnoses in reproductive-age women. If clinical conditions and state-of-the-art scanner availability permit, magnetic resonance imaging (MRI) is superior to CT due to its more in-depth characterisationof abnormal or inconclusive gynaecological findings, owing to excellent soft-tissue contrast, intrinsic multiplanar capabilities and lack of ionising radiation.This pictorial review aims to provide radiologists with a thorough familiarity with gynaecologic emergencies by illustrating their CT and MRI appearances, in order to provide a timely and correct imaging diagnosis. Specifically, this second instalment reviews with examples and emphasis on differential diagnosis the main non-pregnancy-related uterine emergencies (including endometrial polyps, degenerated leiomyomas and uterine inversion) and the spectrum of pelvic inflammatory disease.

Indexed as

Computed tomography (CT)Gynaecologic emergenciesMagnetic resonance imaging (MRI)Pelvic inflammatory diseaseUterus

Identifiers

PMID31858287
PMCPMC6923316
OpenAlexW2995320951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.