Evidence map›Paper›PMID 25900339›Full record

ArticleInternational journal of computer assisted radiology and surgery2015

Force adaptive robotically assisted endomicroscopy for intraoperative tumour identification.

Petros Giataganas, Michael Hughes, Guang-Zhong Yang

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. A novel contact optimization algorithm for endomicroscopic surface scanning.International journal of computer assisted radiology and surgery · 2024
    Article
  3. Review
  4. Hybrid Robot-assisted Frameworks for Endomicroscopy Scanning in Retinal Surgeries.IEEE transactions on medical robotics and bionics · 2020
    Article
  5. A Novel Semi-Autonomous Control Framework for Retina Confocal Endomicroscopy Scanning.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2019
    Article
  6. A cable-driven parallel manipulator with force sensing capabilities for high-accuracy tissue endomicroscopy.International journal of computer assisted radiology and surgery · 2018
    Article
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Petros GiataganasHamlyn Centre for Robotic Surgery, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK, petros.giataganas11@imperial.ac.uk.
Michael Hughes
Guang-Zhong Yang
Imperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFor effective tumour margin definition for cancer surgery, there is an increasing demand for the development of real-time intraoperative tissue biopsy techniques. Recent advances in miniaturized biophotonics probes have permitted the development of endomicroscopy techniques that are clinically attractive. With these approaches, cellular-level imaging can be achieved through millimetre-scale flexible probes and be performed in real-time, in vivo and in situ. Due to the limited field of view and flexibility of these probes, however, large area tissue coverage for acquiring histology-like images over complex three-dimensional surfaces is challenging. This is particularly the case because current surgical robots, such as the Da Vinci ®, lack haptic feedback, making it difficult to maintain optimum tissue contact when these probes are deployed in vivo.

methodsThis paper proposes a simple force-controlled pick-up probe that can be integrated with the Da Vinci instruments for intraoperative endomicroscopy imaging. The device uses a new low-friction air bearing with adaptive axial force control to maintain constant contact between the tissue and the imaging probe, facilitating microscopy scans over complex surfaces. Detailed ex vivo user experiments have been conducted to demonstrate the effectiveness of the technique.

resultsThe adaptive probe mount could achieve consistent low-magnitude probe-sample contact forces compared with a rigid mount. In the user study, the adaptive probe combined with a high frame rate endomicroscopy system allowed larger mosaics to be generated over curved surfaces.

conclusionsThe device can improve the performance of large area mosaicking over complex 3D surfaces with improved handling and intraoperative control.

Indexed as

Imaging, Three-DimensionalRoboticsBiopsyEndoscopyEquipment DesignHumansMicroscopyNeoplasms

Identifiers

PMID25900339
OpenAlexW2074977015

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.