Evidence map›Paper›PMID 35836610›Full record

ArticleFrontiers in surgery2022

The Role of Magnetic Resonance Imaging in the Planning of Surgical Treatment of Deep Pelvic Endometriosis.

Francesco Manti, Caterina Battaglia, Iennarella Bruno, Michele Ammendola, Giuseppe Navarra, Giuseppe Currò, Domenico Laganà

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Francesco MantiRadiology Unit, Department of Experimental and Clinical Medicine, "Magna Graecia" University, Catanzaro, Italy.
Caterina BattagliaRadiology Unit, Department of Experimental and Clinical Medicine, "Magna Graecia" University, Catanzaro, Italy.
Iennarella BrunoRadiology Unit, Department of Experimental and Clinical Medicine, "Magna Graecia" University, Catanzaro, Italy.
Michele AmmendolaScience of Health Department, Digestive Surgery Unit, University "Magna Graecia" Medical School, Catanzaro, Italy.
Giuseppe NavarraDepartment of Human Pathology of Adult and Evolutive Age, Surgical Oncology Division, "G. Martino" Hospital, University of Messina, Messina, Italy.
Giuseppe CurròScience of Health Department, General Surgery Unit, University "Magna Graecia" Medical School, Catanzaro, Italy.
Domenico LaganàRadiology Unit, Department of Experimental and Clinical Medicine, "Magna Graecia" University, Catanzaro, Italy.
Magna Graecia University · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To prospectively evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) for the planning of surgical treatment of deep pelvic endometriosis. Materials and Methods: From January 2020 to December 2021, we evaluated 72 patients with symptoms characteristic of endometriosis to plan appropriate surgical treatment. Sensitivity (Se), specificity (Sp), positive and negative predictive values (VPP/VPN), and the accuracy of MRI for the detection of deep pelvic endometriosis were calculated. Results: Seventy-two patients (mean age, 35.5 years; range, 20-46 years) suspected of having pelvic endometriosis were recruited. Pelvic endometriosis was confirmed at pathologic examination in 56 (77.7%) of 72 patients. A total of 22 (39.3%) of 56 patients were subjected to video laparoscopy (VLS), and 16 (72.2%) of 22 were treated by surgery. Se, Sp, VPP, and VPN in intestinal endometriosis diagnosis were, respectively, 100%, 93.3%, 100%, and 87.5%, and diagnostic accuracy was 95.4%. MRI Se in ureteral endometriosis diagnosis was 50%, Sp 100%, VPP 100%, VPN 78%, and diagnostic accuracy 82%. MRI Se in endometrioma diagnosis was 92.3%, Sp 100%, VPP 100%, VPN 90%, and diagnostic accuracy 95.4%. MRI Se in rectum-vaginal septum (SRV) endometriosis diagnosis was 80%, Sp 100%, VPP 100% VPN 85.7%, and diagnostic accuracy 91%. The MRI Se in the diagnosis of endometriosis involving ULS was 100%, Sp 92.8%, VPP 89%, VPN 100%, and diagnostic accuracy 95.4%. Complete concordance results in a 100% accuracy for all calculated values in diagnosing bladder endometriosis localizations. Conclusion: MR imaging demonstrates high accuracy in detecting deep pelvic endometriosis in specific locations. It allows the localization of deep pelvic lesions with highly fibrotic components that are hardly recognizable with other imaging methods and not visible with VLS.

Indexed as

deep pelvic endometriosisdiagnosismagnetic resonance imagingsurgical treatmentvideolaparoscopic

Identifiers

PMID35836610
PMCPMC9273906
OpenAlexW4283647132

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.