Evidence map›Paper›PMID 34209748›Full record

ArticleSensors (Basel, Switzerland)2021

Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens.

Sara Condino, Fabrizio Cutolo, Nadia Cattari, Simone Colangeli, Paolo Domenico Parchi, Roberta Piazza, Alfio Damiano Ruinato, Rodolfo Capanna, Vincenzo Ferrari

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. A usability analysis of augmented reality and haptics for surgical planning.International journal of computer assisted radiology and surgery · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Applications of Mixed Reality Technology in Orthopedics Surgery: A Pilot Study.Frontiers in bioengineering and biotechnology · 2022
    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

9 authors.

Sara CondinoInformation Engineering Department, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-5235-0414
Fabrizio CutoloInformation Engineering Department, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-6773-3741
Nadia CattariEndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-7091-2908
Simone ColangeliOrthopaedic and Traumatology Division, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0003-3861-4932
Paolo Domenico ParchiOrthopaedic and Traumatology Division, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-7560-7104
Roberta PiazzaEndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-4116-8312
Alfio Damiano RuinatoEndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7092-7926
Rodolfo CapannaOrthopaedic and Traumatology Division, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0003-4052-4880
Vincenzo FerrariInformation Engineering Department, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-9294-2828

Funding

Regione Toscana Crio2AR
6 · The paper itself

Abstract

Cryosurgery is a technique of growing popularity involving tissue ablation under controlled freezing. Technological advancement of devices along with surgical technique improvements have turned cryosurgery from an experimental to an established option for treating several diseases. However, cryosurgery is still limited by inaccurate planning based primarily on 2D visualization of the patient's preoperative images. Several works have been aimed at modelling cryoablation through heat transfer simulations; however, most software applications do not meet some key requirements for clinical routine use, such as high computational speed and user-friendliness. This work aims to develop an intuitive platform for anatomical understanding and pre-operative planning by integrating the information content of radiological images and cryoprobe specifications either in a 3D virtual environment (desktop application) or in a hybrid simulator, which exploits the potential of the 3D printing and augmented reality functionalities of Microsoft HoloLens. The proposed platform was preliminarily validated for the retrospective planning/simulation of two surgical cases. Results suggest that the platform is easy and quick to learn and could be used in clinical practice to improve anatomical understanding, to make surgical planning easier than the traditional method, and to strengthen the memorization of surgical planning.

Indexed as

Augmented RealityCryosurgeryComputer SimulationHumansRetrospective StudiesSoftwarecryotherapyhybrid simulationMicrosoft HoloLensmixed realitysurgical planningsurgical simulation

Identifiers

PMID34209748
PMCPMC8272062

What OpenQuestion holds

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LicenceCC BY
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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.