Evidence map›Paper›PMID 26316112›Full record

ArticleWorld journal of surgery2016

Augmented Reality Guidance for the Resection of Missing Colorectal Liver Metastases: An Initial Experience.

Dimitrios Ntourakis, Ricardo Memeo, Luc Soler, Jacques Marescaux, Didier Mutter, Patrick Pessaux

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Augmented reality in open surgery.Updates in surgery · 2018
    Pooled it
  4. Article
  5. The impact of 3-dimensional models and surgical navigation for open liver surgery.International journal of computer assisted radiology and surgery · 2025
    Article
  6. Review
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  16. Research on registration and navigation technology of augmented reality for ex-vivo hepatectomy.International journal of computer assisted radiology and surgery · 2022
    Article
  17. Review
  18. Review
  19. Augmented Reality during Open Liver Surgery Using a Markerless Non-rigid Registration System.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
    Article
  20. Role of artificial intelligence in hepatobiliary and pancreatic surgery.World journal of gastrointestinal surgery · 2021
    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

6 authors at 2 institutions in 1 country.

Dimitrios NtourakisIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France. dntourakis@hotmail.com.
Ricardo MemeoIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France.
Luc SolerIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France.
Jacques MarescauxIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France.
Didier MutterIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France.
Patrick PessauxIRCAD-IHU, University of Strasbourg, 1 place de l'Hôpital, 67091, Strasbourg, France. patrick.pessaux@chru-strasbourg.fr.
Institut de Recherche contre les Cancers de l’Appareil Digestif · FRUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern chemotherapy achieves the shrinking of colorectal cancer liver metastases (CRLM) to such extent that they may disappear from radiological imaging. Disappearing CRLM rarely represents a complete pathological remission and have an important risk of recurrence. Augmented reality (AR) consists in the fusion of real-time patient images with a computer-generated 3D virtual patient model created from pre-operative medical imaging. The aim of this prospective pilot study is to investigate the potential of AR navigation as a tool to help locate and surgically resect missing CRLM.

methodsA 3D virtual anatomical model was created from thoracoabdominal CT-scans using customary software (VR RENDER(®), IRCAD). The virtual model was superimposed to the operative field using an Exoscope (VITOM(®), Karl Storz, Tüttlingen, Germany). Virtual and real images were manually registered in real-time using a video mixer, based on external anatomical landmarks with an estimated accuracy of 5 mm. This modality was tested in three patients, with four missing CRLM that had sizes from 12 to 24 mm, undergoing laparotomy after receiving pre-operative oxaliplatin-based chemotherapy.

resultsAR display and fine registration was performed within 6 min. AR helped detect all four missing CRLM, and guided their resection. In all cases the planned security margin of 1 cm was clear and resections were confirmed to be R0 by pathology. There was no postoperative major morbidity or mortality. No local recurrence occurred in the follow-up period of 6-22 months.

conclusionsThis initial experience suggests that AR may be a helpful navigation tool for the resection of missing CRLM.

Indexed as

Imaging, Three-DimensionalSurgery, Computer-AssistedAgedAnatomic LandmarksAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantColorectal NeoplasmsFemaleHepatectomyHumansLiver NeoplasmsMaleMiddle AgedNeoadjuvant TherapyNeoplasm Recurrence, LocalNeoplasm, ResidualOrganoplatinum CompoundsOxaliplatin

Identifiers

PMID26316112
OpenAlexW1914571181

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.