Evidence map›Paper›PMID 37171621›Full record

ArticleJournal of medical systems2023

Three-Dimensional Volume Rendering of Pelvic Floor Anatomy with Focus on Fibroids in Relation to the Lower Urogenital Tract Based on Cross-Sectional MRI Images.

Ka Siu Fan, Constantin Durnea, Christiana Campani Nygaard, Miriam Khalil, Stergios K Doumouchtsis

Abstract read
In one paragraph

Article in Journal of medical systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Ka Siu FanInstitute for Medical and Biomedical Education, St. George's University of London, London, UK.
Constantin DurneaDepartment of Obstetrics and Gynaecology, Epsom & St Helier University Hospitals NHS Trust, St George's University of London, London, UK.
Christiana Campani NygaardDepartment of Obstetrics and Gynaecology, Epsom & St Helier University Hospitals NHS Trust, St George's University of London, London, UK.
Miriam KhalilDepartment of Radiology, Epsom & St Helier University Hospitals NHS Trust, London, UK.
Stergios K DoumouchtsisInstitute for Medical and Biomedical Education, St. George's University of London, London, UK. sdoumouc@sgul.ac.uk.ORCID http://orcid.org/0000-0002-0404-6335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the feasibility of developing three-dimensional (3D) models of pelvic organs using cross-sectional MRI images of patients with uterine fibroids and urinary symptoms and of obtaining anatomical information unavailable in 2D imaging modalities. We also aimed to compare two image processing applications. We performed a feasibility study analysing MRI scans from three women, aged 30 to 58 years old, with fibroids and urinary symptoms. Cross-sectional images were used to render 3D models of pelvic anatomy, including bladder, uterus and fibroids, using 3D Slicer and OsiriX. Dimensions, volumes and anatomical relationships of the pelvic organs were evaluated. Comparisons between anatomical landmarks and measurements obtained from the two image processing applications were undertaken. Rendered 3D pelvic models yielded detailed anatomical information and data on spatial relationships that were unobtainable from cross-sectional images. Models were rendered in sufficient resolution to aid understanding of spatial relationships between urinary bladder, uterus and fibroid(s). Measurements of fibroid volumes ranged from 5,336 to 418,012 mm

Indexed as

LeiomyomaPelvic FloorAdultFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedUterus3D pelvic model3D Slicer3D volume renderingImage processingLower urinary tract symptoms (LUTS)Magnetic resonance imaging (MRI)OsiriXUterine fibroids

Identifiers

PMID37171621
PMCPMC10181971

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.