Evidence map›Paper›PMID 35394140›Full record

ArticleInternational urogynecology journal2022

3D quantitative analysis of normal clitoral anatomy in nulliparous women by MRI.

Shaniel T Bowen, Arijit Dutta, Krystyna Rytel, Steven D Abramowitch, Rebecca G Rogers, Pamela A Moalli

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Article in International urogynecology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Shaniel T BowenDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Arijit DuttaDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Krystyna RytelDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Steven D AbramowitchDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Rebecca G RogersDepartment of Obstetrics and Gynecology, Albany Medical Center, Albany, NY, USA.
Pamela A MoalliDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA. moalpa@upmc.edu.ORCID 0000-0001-9689-3824
University of Pittsburgh · USAlbany Medical Center Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisWe present a 3D computational approach for automated clitoral measurements. We hypothesized that computationally derived measurements would be comparable and less variable than reported manual measures.

methodsIn this retrospective study, MRIs of 22 nulliparous women age 20-49 years with normal vaginal and clitoral anatomy were collected. Manual segmentations were performed to reconstruct 3D models of the whole clitoris (glans, body, crura, and bulbs) and vagina. The length, width, and volume of the clitoral structures and the distance between the vagina and clitoral structures were calculated. Computed clitoral morphometrics (length, width) were compared to median [range] values from a previously published cadaver study (N = 22) using the median test and Moses extreme reaction test. Calculated distances were compared to mean (± SD) reported by a 2D MRI study (N = 20) using independent t-test and Levene's test.

resultsOverall, computed clitoral morphometrics were similar to manual cadaver measurements, where the majority of length and width measures had ~1-2 mm difference and had less variability (smaller range). All calculated distances were significantly smaller and had smaller SDs than manual 2D MRI values, with two-fold differences in the means and SDs. Large variation was observed in clitoral volumetric measures in our cohort.

conclusionsThe proposed 3D computational method improves the standardization and consistency of clitoral measurements compared to traditional manual approaches. The use of this approach in radiographic studies will give better insight into how clitoral anatomy relates to sexual function and how both are impacted by gynecologic surgery, where outcomes can assist treatment planning.

Indexed as

ClitorisMagnetic Resonance ImagingAdultCadaverFemaleHumansMiddle AgedRetrospective StudiesVaginaYoung AdultClitoral anatomyClitorisDimensionMorphometricsPelvic MRI

Identifiers

PMID35394140
OpenAlexW4226225845

What OpenQuestion holds

Textmetadata
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.