Evidence map›Paper›PMID 35267620›Full record

ArticleCancers2022

Thermal Ablation of Liver Tumors Guided by Augmented Reality: An Initial Clinical Experience.

Marco Solbiati, Tiziana Ierace, Riccardo Muglia, Vittorio Pedicini, Roberto Iezzi, Katia M Passera, Alessandro C Rotilio, S Nahum Goldberg, Luigi A Solbiati

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

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  18. Bone biopsies guided by augmented reality: a pilot study.European radiology experimental · 2023
    Article
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  20. [CT-guided local ablative interventions].Radiologie (Heidelberg, Germany) · 2023
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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.

Marco SolbiatiR&D Unit, R.A.W. Srl, 20127 Milano, Italy.
Tiziana IeraceDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy.
Riccardo MugliaDepartment of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0003-0092-5065
Vittorio PediciniDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy.
Roberto IezziDepartment of Diagnostic Imaging, Oncologic Rediotherapy and Hematology, IRCCS Policlinico Universitario A. Gemelli, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-2791-481X
Katia M PasseraR&D Unit, R.A.W. Srl, 20127 Milano, Italy.
Alessandro C RotilioR&D Unit, R.A.W. Srl, 20127 Milano, Italy.
S Nahum GoldbergDepartment of Radiology, Hadassah Hebrew University Medical Centre, Jerusalem 90221, Israel.ORCID 0000-0003-2940-9822
Luigi A SolbiatiDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Over the last two decades, augmented reality (AR) has been used as a visualization tool in many medical fields in order to increase precision, limit the radiation dose, and decrease the variability among operators. Here, we report the first in vivo study of a novel AR system for the guidance of percutaneous interventional oncology procedures. Methods: Eight patients with 15 liver tumors (0.7−3.0 cm, mean 1.56 + 0.55) underwent percutaneous thermal ablations using AR guidance (i.e., the Endosight system). Prior to the intervention, the patients were evaluated with US and CT. The targeted nodules were segmented and three-dimensionally (3D) reconstructed from CT images, and the probe trajectory to the target was defined. The procedures were guided solely by AR, with the position of the probe tip was subsequently confirmed by conventional imaging. The primary endpoints were the targeting accuracy, the system setup time, and targeting time (i.e., from the target visualization to the correct needle insertion). The technical success was also evaluated and validated by co-registration software. Upon completion, the operators were assessed for cybersickness or other symptoms related to the use of AR. Results: Rapid system setup and procedural targeting times were noted (mean 14.3 min; 12.0−17.2 min; 4.3 min, 3.2−5.7 min, mean, respectively). The high targeting accuracy (3.4 mm; 2.6−4.2 mm, mean) was accompanied by technical success in all 15 lesions (i.e., the complete ablation of the tumor and 13/15 lesions with a >90% 5-mm periablational margin). No intra/periprocedural complications or operator cybersickness were observed. Conclusions: AR guidance is highly accurate, and allows for the confident performance of percutaneous thermal ablations.

Indexed as

augmented realitycomputed tomographyinterventional oncologyliverthree-dimensional (3D) reconstruction

Identifiers

PMID35267620
PMCPMC8909771

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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.