Evidence map›Paper›PMID 32355663›Full record

ReviewVisceral medicine2020

Towards an Optical Biopsy during Visceral Surgical Interventions.

David Benjamin Ellebrecht, Sarah Latus, Alexander Schlaefer, Tobias Keck, Nils Gessert

Open access · bronzeAbstract readReview
In one paragraph

Review in Visceral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Robotics in Surgery and Endoscopy.Visceral medicine · 2020
    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

5 authors at 3 institutions in 1 country.

David Benjamin EllebrechtLungenClinic Grosshansdorf, Department of Thoracic Surgery, Grosshansdorf, Germany.
Sarah LatusHamburg University of Technology, Institute of Medical Technology, Hamburg, Germany.
Alexander SchlaeferHamburg University of Technology, Institute of Medical Technology, Hamburg, Germany.
Tobias KeckUniversity Medical Center Schleswig-Holstein, Campus Lübeck, Department of Surgery, Lübeck, Germany.
Nils GessertHamburg University of Technology, Institute of Medical Technology, Hamburg, Germany.
Universität Hamburg · DEUniversity of Lübeck · DEHamburg University of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer will replace cardiovascular diseases as the most frequent cause of death. Therefore, the goals of cancer treatment are prevention strategies and early detection by cancer screening and ideal stage therapy. From an oncological point of view, complete tumor resection is a significant prognostic factor. Optical coherence tomography (OCT) and confocal laser microscopy (CLM) are two techniques that have the potential to complement intraoperative frozen section analysis as in vivo and real-time optical biopsies. SUMMARY: In this review we present both procedures and review the progress of evaluation for intraoperative application in visceral surgery. For visceral surgery, there are promising studies evaluating OCT and CLM; however, application during routine visceral surgical interventions is still lacking. KEY MESSAGE: OCT and CLM are not competing but complementary approaches of tissue analysis to intraoperative frozen section analysis. Although intraoperative application of OCT and CLM is at an early stage, they are two promising techniques of intraoperative in vivo and real-time tissue examination. Additionally, deep learning strategies provide a significant supplement for automated tissue detection.

Indexed as

Confocal laser microscopyDeep learningLaparoscopyLaparotomyOptical coherence tomographySurgery

Identifiers

PMID32355663
PMCPMC7184834
OpenAlexW3010154636

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.