Evidence map›Paper›PMID 27826218›Full record

ArticleMedical devices (Auckland, N.Z.)2016

Instrumental tactile diagnostics in robot-assisted surgery.

Rozalia F Solodova, Vladimir V Galatenko, Eldar R Nakashidze, Igor L Andreytsev, Alexey V Galatenko, Dmitriy K Senchik, Vladimir M Staroverov, Vladimir E Podolskii, Mikhail E Sokolov, Victor A Sadovnichy

Abstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Mechanical mapping of the prostate in vivo using Dynamic Instrumented Palpation; towards an in vivo strategy for cancer assessment.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2023
    Article
  4. Article
  5. 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

10 authors.

Rozalia F SolodovaFaculty of Mechanics and Mathematics; Institute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.
Vladimir V GalatenkoFaculty of Mechanics and Mathematics; Institute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.
Eldar R Nakashidze1st Surgery Department, Clinical Hospital 31, Moscow, Russia.
Igor L Andreytsev1st Surgery Department, Clinical Hospital 31, Moscow, Russia.
Alexey V GalatenkoFaculty of Mechanics and Mathematics.
Dmitriy K SenchikInstitute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.
Vladimir M StaroverovFaculty of Mechanics and Mathematics.
Vladimir E PodolskiiFaculty of Mechanics and Mathematics; Institute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.
Mikhail E SokolovFaculty of Mechanics and Mathematics; Institute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.
Victor A SadovnichyFaculty of Mechanics and Mathematics; Institute of Mathematical Studies of Complex Systems, Lomonosov Moscow State University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic surgery has gained wide acceptance due to minimizing trauma in patients. However, the lack of tactile feedback is an essential limiting factor for the further expansion. In robotic surgery, feedback related to touch is currently kinesthetic, and it is mainly aimed at the minimization of force applied to tissues and organs. Design and implementation of diagnostic tactile feedback is still an open problem. We hypothesized that a sufficient tactile feedback in robot-assisted surgery can be provided by utilization of Medical Tactile Endosurgical Complex (MTEC), which is a novel specialized tool that is already commercially available in the Russian Federation. MTEC allows registration of tactile images by a mechanoreceptor, real-time visualization of these images, and reproduction of images via a tactile display. MATERIALS AND

methodsNine elective surgeries were performed with da Vinci™ robotic system. An assistant performed tactile examination through an additional port under the guidance of a surgeon during revision of tissues. The operating surgeon sensed registered tactile data using a tactile display, and the assistant inspected the visualization of tactile data. First, surgeries where lesion boundaries were visually detectable were performed. The goal was to promote cooperation between the surgeon and the assistant and to train them in perception of the tactile feedback. Then, instrumental tactile diagnostics was utilized in case of visually undetectable boundaries.

resultsIn robot-assisted surgeries where lesion boundaries were not visually detectable, instrumental tactile diagnostics performed using MTEC provided valid identification and localization of lesions. The results of instrumental tactile diagnostics were concordant with the results of intraoperative ultrasound examination. However, in certain cases, for example, thoracoscopy, ultrasound examination is inapplicable, while MTEC-based tactile diagnostics can be efficiently utilized.

conclusionThe study proved that MTEC can be efficiently used in robot-assisted surgery allowing correct localization of visually undetectable lesions and visually undetectable boundaries of pathological changes of tissues.

Indexed as

instrumental palpationMedical Tactile Endosurgical Complextactile feedbacktactile lesion localization

Identifiers

PMID27826218
PMCPMC5096743

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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.