Evidence map›Paper›PMID 29450853›Full record

ReviewInsights into imaging2018

Endometriosis: clinical features, MR imaging findings and pathologic correlation.

Pietro Valerio Foti, Renato Farina, Stefano Palmucci, Ilenia Anna Agata Vizzini, Norma Libertini, Maria Coronella, Saveria Spadola, Rosario Caltabiano, Marco Iraci, Antonio Basile and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
19.4field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 209 citations in OpenAlex.

  1. Pooled it
  2. Clinical practice guidelines for endometriosis in Japan (The 3rd edition).The journal of obstetrics and gynaecology research · 2022
    Guideline
  3. Trial
  4. Review
  5. Article
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  7. Article
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  9. Review
  10. Role of computed tomography in imaging of endometriosis.Abdominal radiology (New York) · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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  20. Review

22 more citing papers are in PubMed but not listed here.

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

13 authors at 2 institutions in 1 country.

Pietro Valerio FotiRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy. pietrofoti@hotmail.com.
Renato FarinaRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Stefano PalmucciRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Ilenia Anna Agata VizziniRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Norma LibertiniRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Maria CoronellaRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Saveria SpadolaDepartment G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy.
Rosario CaltabianoDepartment G.F. Ingrassia - Institute of Pathology, University of Catania, Catania, Italy.
Marco IraciDepartment of General Surgery and Medical-Surgical Specialties - Institute of Obstetrics and Ginecology, University of Catania, Catania, Italy.
Antonio BasileRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Pietro MiloneRadiodiagnostic and Radiotherapy 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 Ginecology, University of Catania, Catania, Italy.
Giovanni Carlo EttorreRadiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Via Santa Sofia 78, 95123, Catania, Italy.
Azienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe illustrate the magnetic resonance imaging (MRI) features of endometriosis.

backgroundEndometriosis is a chronic gynaecological condition affecting women of reproductive age and may cause pelvic pain and infertility. It is characterized by the growth of functional ectopic endometrial glands and stroma outside the uterus and includes three different manifestations: ovarian endometriomas, peritoneal implants, deep pelvic endometriosis. The primary locations are in the pelvis; extrapelvic endometriosis may rarely occur. Diagnosis requires a combination of clinical history, invasive and non-invasive techniques. The definitive diagnosis is based on laparoscopy with histological confirmation. Diagnostic imaging is necessary for treatment planning. MRI is as a second-line technique after ultrasound. The MRI appearance of endometriotic lesions is variable and depends on the quantity and age of haemorrhage, the amount of endometrial cells, stroma, smooth muscle proliferation and fibrosis. The purpose of surgery is to achieve complete resection of all endometriotic lesions in the same operation.

conclusionOwing to the possibility to perform a complete assessment of all pelvic compartments at one time, MRI represents the best imaging technique for preoperative staging of endometriosis, in order to choose the more appropriate surgical approach and to plan a multidisciplinary team work. TEACHING POINTS: • Endometriosis includes ovarian endometriomas, peritoneal implants and deep pelvic endometriosis. • MRI is a second-line imaging technique after US. • Deep pelvic endometriosis is associated with chronic pelvic pain and infertility. • Endometriosis is characterized by considerable diagnostic delay. • MRI is the best imaging technique for preoperative staging of endometriosis.

Indexed as

Deep infiltrating endometriosisEndometriomaEndometriosisMagnetic resonance imagingPelvic painPelvis

Identifiers

PMID29450853
PMCPMC5893487
OpenAlexW2793858881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.