Evidence map›Paper›PMID 30980230›Full record

ArticleMedical & biological engineering & computing2019

A novel finite element model-based navigation system-supported workflow for breast tumor excision.

Dominik Esslinger, Philipp Rapp, Luzia Knödler, Heike Preibsch, Cristina Tarín, Oliver Sawodny, Sara Y Brucker, Markus Hahn

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2019. 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
  2. A customized acutance metric for quality control applications in MRI.Medical & biological engineering & computing · 2022
    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

8 authors.

Dominik EsslingerInstitute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany. esslinger@isys.uni-stuttgart.de.ORCID http://orcid.org/0000-0003-0594-9023
Philipp RappInstitute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany.
Luzia KnödlerInstitute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany.
Heike PreibschDepartment of Diagnostic and Interventional Radiology, Eberhard-Karls-Universität Tübingen, Tübingen, Germany.
Cristina TarínInstitute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany.
Oliver SawodnyInstitute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany.
Sara Y BruckerDepartment of Women's Health, Research Centre for Women's Health, 72076, Tübingen, Germany.
Markus HahnDepartment of Women's Health, Research Centre for Women's Health, 72076, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the case of female breast cancer, a breast-conserving excision is often desirable. This surgery is based on preoperatively gathered MRI, mammography, and sonography images. These images are recorded in multiple patient positions, e. g., 2D mammography images in standing position with a compressed breast and 3D MRI images in prone position. In contrast, the surgery happens in supine or beach chair position. Due to these different perspectives and the flexible, thus challenging, breast tissue, the excision puts high demands on the physician. Therefore, this publication presents a novel eight-step excision support workflow that can be used to include information captured preoperatively through medical imaging based on a finite element (FE) model. In addition, an indoor positioning system is integrated in the workflow in order to track surgical devices and the sonography transducer during surgery. The preoperative part of the navigation system-supported workflow is outlined exemplarily based on first experimental results including 3D scans of a patient in different patient positions and her MRI images. Graphical Abstract Finite Element model based navigation system supported workflow for breast tumor excision is based on eight steps and allows inclusion of information from medical images recorded in multiple patient positions.

Indexed as

Breast NeoplasmsFemaleFinite Element AnalysisHumansImaging, Three-DimensionalMagnetic Resonance ImagingMargins of ExcisionMastectomyMiddle AgedPhantoms, ImagingPreoperative CareReproducibility of ResultsSurgery, Computer-AssistedWorkflowBreast tumorsFinite element analysisImage-guided surgeryLumpectomyMedical imaging

Identifiers

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.