Evidence map›Paper›PMID 30225532›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2018

[Navigated liver surgery : Current state and importance in the future].

K J Oldhafer, M Peterhans, A Kantas, A Schenk, G Makridis, S Pelzl, K C Wagner, S Weber, G A Stavrou, M Donati

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. [Minimally invasive liver surgery].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2021
    Article
  5. Article
  6. The future of robotic liver surgery.Hepatobiliary surgery and nutrition · 2020
    Article
  7. [Robotics and augmented reality : Current state of development and future perspectives].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2018
    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

10 authors at 5 institutions in 3 countries.

K J OldhaferKlinik für Allgemein- und Viszeralchirurgie, Asklepios Klinik Barmbek, Hamburg, Deutschland. k.oldhafer@asklepios.com.
M PeterhansCAScination AG, Bern, Schweiz.
A KantasKlinik für Allgemein- und Viszeralchirurgie, Asklepios Klinik Barmbek, Hamburg, Deutschland.
A SchenkFraunhofer-Institut für Bildgestützte Medizin MEVIS, Bremen, Deutschland.
G MakridisKlinik für Allgemein- und Viszeralchirurgie, Asklepios Klinik Barmbek, Hamburg, Deutschland.
S PelzlapoQlar, Hamburg, Deutschland.
K C WagnerKlinik für Allgemein- und Viszeralchirurgie, Asklepios Klinik Barmbek, Hamburg, Deutschland.
S WeberUniversity of Bern, ARTORG Center for Biomedical Engineering Research, Bern, Schweiz.
G A StavrouKlinik für Allgemein‑, Viszeralchirurgie, Thorax- und Kinderchirurgie, Klinikum Saarbrücken, Saarbrücken, Deutschland.
M DonatiSemmelweis Universität Budapest, Campus Hamburg, Hamburg, Deutschland.
Asklepios Klinik Barmbek · DEFraunhofer Institute for Digital Medicine · DEKlinikum Saarbrücken · DEUniversity of Bern · CHUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The preoperative computer-assisted resection planning is the basis for every navigation. Thanks to modern algorithms, the prerequisites have been created to carry out a virtual resection planning and a risk analysis. Thus, individual segment resections can be precisely planned in any conceivable combination. The transfer of planning information and resection suggestions to the operating theater is still problematic. The so-called stereotactic liver navigation supports the exact intraoperative implementation of the planned resection strategy and provides the surgeon with real-time three-dimensional information on resection margins and critical structures during the resection. This is made possible by a surgical navigation system that measures the position of surgical instruments and then presents them together with the preoperative surgical planning data. Although surgical navigation systems have been indispensable in neurosurgery and spinal surgery for many years, these procedures have not yet become established as standard in liver surgery. This is mainly due to the technical challenge of navigating a moving organ. As the liver is constantly moving and deforming during surgery due to respiration and surgical manipulation, the surgical navigation system must be able to measure these alterations in order to adapt the preoperative navigation data to the current situation. Despite these advances, further developments are required until navigated liver resection enters clinical routine; however, it is already clear that laparoscopic liver surgery and robotic surgery will benefit most from navigation technology.

Indexed as

Liver NeoplasmsSurgery, Computer-AssistedHepatectomyHumansImaging, Three-Dimensional3D technologyAugmented realityLiver ResectionPlanningRisk analysis

Identifiers

PMID30225532
OpenAlexW2890253549

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.