Evidence map›Paper›PMID 34189629›Full record

ArticleArchives of gynecology and obstetrics2022

Correlation analysis of resected breast tissue and implant volume after mastectomy and its association with breast density.

Wolfram Malter, Bo Jan Bachmann, Barbara Krug, Martin Hellmich, Max Zinser, Peter Mallmann, Christian Eichler, Julian Puppe

Open access · hybridAbstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2022. 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
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 6 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

8 authors at 1 institution in 1 country.

Wolfram Malter *Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany. wolfram.malter@uk-koeln.de.ORCID 0000-0002-5693-3120
Bo Jan Bachmann *Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
Barbara KrugDepartment for Diagnostic and Interventional Radiology¸ Medical Faculty, University of Cologne, Cologne, Germany.
Martin HellmichInstitute of Medical Statistics and Computational Biology, Medical Faculty, University of Cologne, Cologne, Germany.
Max ZinserDepartment for Plastic and Reconstructive Surgery, Medical Faculty, University of Cologne, Cologne, Germany.
Peter MallmannDepartment of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
Christian Eichler *Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
Julian Puppe *Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
University of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current methods for calculating the ideal implant volume for breast reconstruction are based on pre- or intraoperative volume measurements of the existing breast volume and do not take into account the individual breast density of the woman. This study aims is to identify objective parameters that can help to improve the optimal implant selection. MATERIALS AND

methodsThis retrospective analysis includes 198 breast cancer patients who underwent mastectomy. Breast densities (ACR) measured in mammography and MRI were compared with the removed breast tissue weight and volume of the implants used. In addition, the resected weight was compared directly with the implant volume to calculate a mathematical function.

resultsThere was no significant correlation between the ACR values and the resected weights [correlation coefficient: mammography:- 0.117 (p = 0.176), MRI - 0.033 (p = 0.756)]. A negative correlation between the implant volumes and both imaging methods could be demonstrated [correlation coefficient: mammography - 0.268; p = 0.002; MRI was - 0.200 (p = 0.055)]. A highly significant correlation between the resected weights and the implant volumes (correlation coefficient 0.744; p < 0.001) was observed. This correlation corresponds to a power function (y = 34.71 x

conclusionWe were able to show that there is a significant correlation between the resected breast tissue and the implant volume. With our novel potency function, the appropriate implant volume can be calculated for any resected weight making it easier for the surgeon to choose a fitting implant in a simple and more objective manner.

Indexed as

Breast ImplantsBreast NeoplasmsMammaplastyBreast DensityFemaleHumansMastectomyRetrospective StudiesBreast densityImplant-based breast reconstructionImplant volumeResected breast tissue

Identifiers

PMID34189629
PMCPMC8782773
OpenAlexW3176127137

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.