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ArticleInternational urogynecology journal2024

3D Observation of Pelvic Organs with Dynamic MRI Segmentation: A Bridge Toward Patient-Specific Models.

Adel Omouri, Stanislas Rapacchi, Julie Duclos, Raphaël Niddam, Marc-Emmanuel Bellemare, Nicolas Pirró

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Article in International urogynecology journal, 2024. 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. Article
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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

6 authors.

Adel OmouriAix-Marseille Univ-Service de Chirurgie Digestive et Oncologique-Hôpital de la Timone, 264, Rue Saint-Pierre, 13005, Marseille, France. adel.omouri@etu.univ-amu.fr.ORCID 0000-0003-2242-5037
Stanislas RapacchiCNRS, CRMBM, Aix-Marseille Univ, 27 Boulevard Jean Moulin, 13005, Marseille, France.
Julie DuclosAix-Marseille Univ-Service de Chirurgie Digestive et Oncologique-Hôpital de la Timone, 264, Rue Saint-Pierre, 13005, Marseille, France.
Raphaël NiddamAix-Marseille Univ-Service de Chirurgie Digestive et Oncologique-Hôpital de la Timone, 264, Rue Saint-Pierre, 13005, Marseille, France.
Marc-Emmanuel BellemareLaboratoire d'Informatique Et Systèmes, équipe I&M - UMR CNRS 7020, Aix-Marseille Université-CNRS, 52, Avenue Escadrille Normandie Niémen, 13397, Marseille Cedex 20, France.
Nicolas PirróAix-Marseille Univ-Service de Chirurgie Digestive et Oncologique-Hôpital de la Timone, 264, Rue Saint-Pierre, 13005, Marseille, France.

Funding

France Life Imaging ANR-11-INBS-0006Marseille Imaging Institute AMX-19-IET-002
6 · The paper itself

Abstract

introduction and hypothesisFemale pelvic organ prolapses are common, but their treatment is challenging. Notably, diagnosis and understanding of these troubles remain incomplete. Tridimensional observations of displacement and deformation of the pelvic organs during a strain could support a better understanding and help to develop comprehensive tools for preoperative planning.

methodsThe present feasibility study evaluates tridimensional dynamic MRI in 12 healthy volunteers. Tridimensional acquisitions were approximated using five intersecting slices, each recorded twice per second. MRI was performed during rest and strain, with intrarectal and intravaginal contrast gel. Subject-specific dynamic 3D models were built for each volunteer through segmentation.

resultsFor each volunteer, pelvic organs could be segmented in three dimensions with a rate of acquisition of two cycles per second on five slices, allowing for a fluid observation of displacements and deformations during strain. Manual segmentation of a full strain required 2 h and 33 min on average. The upper limit of the rectum and the pelvic floor were the most difficult structures to identify. This technique is limited by its time-consuming manual segmentation, which impedes its implantation for routine clinical use. This method must be tried in patients with pelvic organ prolapse.

conclusionsThis multi-planar acquisition technique applied during a dynamic MRI allows for observation of displacement and deformations of pelvic organs during a strain.

Indexed as

Feasibility StudiesImaging, Three-DimensionalMagnetic Resonance ImagingAdultFemaleHealthy VolunteersHumansPatient-Specific ModelingPelvic FloorPelvic Organ ProlapseRectumMRIPelvic floor disordersSegmentation

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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.