Evidence map›Paper›PMID 26718558›Full record

ArticleMedical & biological engineering & computing2016

Hand-tool-tissue interaction forces in neurosurgery for haptic rendering.

Marco Aggravi, Elena De Momi, Francesco DiMeco, Francesco Cardinale, Giuseppe Casaceli, Marco Riva, Giancarlo Ferrigno, Domenico Prattichizzo

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 27% 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, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Tool-tissue forces in surgery: A systematic review.Annals of medicine and surgery (2012) · 2021
    Review
  7. Article
  8. The Challenge of Dental Education After COVID-19 Pandemic - Present and Future Innovation Study Design.Inquiry : a journal of medical care organization, provision and financing
    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

8 authors at 5 institutions in 1 country.

Marco AggraviDepartment of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100, Siena, Italy. aggravi@dii.unisi.it.
Elena De MomiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Francesco DiMecoNational Neurological Institute "C. Besta", Via Celoria 11, 20133, Milan, Italy.
Francesco Cardinale"Claudio Munari" Epilepsy and Parkinson Surgery Centre, Niguarda Ca Granda Hospital, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Giuseppe Casaceli"Claudio Munari" Epilepsy and Parkinson Surgery Centre, Niguarda Ca Granda Hospital, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Marco RivaUnità of Oncological Neurosurgery Humanitas Research Hospital, Università degli Studi di Milano, via Manzoni 56, 20089, Rozzano, Italy.
Giancarlo FerrignoDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Domenico PrattichizzoDepartment of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100, Siena, Italy.
Politecnico di Milano · ITUniversity of Siena · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITOspedale Maggiore · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haptics provides sensory stimuli that represent the interaction with a virtual or tele-manipulated object, and it is considered a valuable navigation and manipulation tool during tele-operated surgical procedures. Haptic feedback can be provided to the user via cutaneous information and kinesthetic feedback. Sensory subtraction removes the kinesthetic component of the haptic feedback, having only the cutaneous component provided to the user. Such a technique guarantees a stable haptic feedback loop, while it keeps the transparency of the tele-operation system high, which means that the system faithfully replicates and render back the user's directives. This work focuses on checking whether the interaction forces during a bench model neurosurgery operation can lie in the solely cutaneous perception of the human finger pads. If this assumption is found true, it would be possible to exploit sensory subtraction techniques for providing surgeons with feedback from neurosurgery. We measured the forces exerted to surgical tools by three neurosurgeons performing typical actions on a brain phantom, using contact force sensors, while the forces exerted by the tools to the phantom tissue were recorded using a load cell placed under the brain phantom box. The measured surgeon-tool contact forces were 0.01-3.49 N for the thumb and 0.01-6.6 N for index and middle finger, whereas the measured tool-tissue interaction forces were from six to 11 times smaller than the contact forces, i.e., 0.01-0.59 N. The measurements for the contact forces fit the range of the cutaneous sensitivity for the human finger pad; thus, we can say that, in a tele-operated robotic neurosurgery scenario, it would possible to render forces at the fingertip level by conveying haptic cues solely through the cutaneous channel of the surgeon's finger pads. This approach would allow high transparency and high stability of the haptic feedback loop in a tele-operation system.

Indexed as

SurgeonsSurgical EquipmentBrainEquipment DesignFeedbackFingersHandHumansNeurosurgical ProceduresRobotic Surgical ProceduresSignal Processing, Computer-AssistedBrain phantom forcesContact forcesHaptic renderingNeurosurgery

Identifiers

PMID26718558
OpenAlexW2217565158

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.