Evidence map›Paper›PMID 38724831›Full record

ArticleEuropean radiology experimental2024

Assessment of pulmonary vascular anatomy: comparing augmented reality by holograms versus standard CT images/reconstructions using surgical findings as reference standard.

Francesco Petrella, Stefania Maria Rita Rizzo, Cristiano Rampinelli, Monica Casiraghi, Vincenzo Bagnardi, Samuele Frassoni, Silvia Pozzi, Omar Pappalardo, Gabriella Pravettoni, Lorenzo Spaggiari

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04227444 (Preoperative Evaluation of Pulmonary Vascular Anatomy by Augmented Reality), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04227444 unknown statusnot on this map

Preoperative Evaluation of Pulmonary Vascular Anatomy by Augmented Reality (Holograms) in Patients Undergoing Lung Resection

TypeobservationalSponsorEuropean Institute of OncologyRan2020 to 2024Enrolled50ConditionsPulmonary Disease, Lung CancerArmsHologram
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Francesco PetrellaDepartment of Thoracic Surgery, IRCCS European Institute of Oncology, Via Ripamonti 435, 20141, Milan, Italy.ORCID http://orcid.org/0000-0001-5945-1576
Stefania Maria Rita RizzoClinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC) Via Tesserete 46, 6900, Lugano, Switzerland. stefania.rizzo@eoc.ch.ORCID http://orcid.org/0000-0002-5151-0866
Cristiano RampinelliDivision of Radiology, IRCCS European Institute of Oncology, Via Ripamonti 435, 20141, Milan, Italy.
Monica CasiraghiDepartment of Thoracic Surgery, IRCCS European Institute of Oncology, Via Ripamonti 435, 20141, Milan, Italy.
Vincenzo BagnardiDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126, Milan, Italy.
Samuele FrassoniDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126, Milan, Italy.
Silvia PozziArtiness srl, Viale Cassala 57, 20143, Milan, Italy.
Omar PappalardoArtiness srl, Viale Cassala 57, 20143, Milan, Italy.
Gabriella PravettoniDepartment of Oncology and Hemato-oncology, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Lorenzo SpaggiariDepartment of Thoracic Surgery, IRCCS European Institute of Oncology, Via Ripamonti 435, 20141, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe compared computed tomography (CT) images and holograms (HG) to assess the number of arteries of the lung lobes undergoing lobectomy and assessed easiness in interpretation by radiologists and thoracic surgeons with both techniques.

methodsPatients scheduled for lobectomy for lung cancer were prospectively included and underwent CT for staging. A patient-specific three-dimensional model was generated and visualized in an augmented reality setting. One radiologist and one thoracic surgeon evaluated CT images and holograms to count lobar arteries, having as reference standard the number of arteries recorded at surgery. The easiness of vessel identification was graded according to a Likert scale. Wilcoxon signed-rank test and κ statistics were used.

resultsFifty-two patients were prospectively included. The two doctors detected the same number of arteries in 44/52 images (85%) and in 51/52 holograms (98%). The mean difference between the number of artery branches detected by surgery and CT images was 0.31 ± 0.98, whereas it was 0.09 ± 0.37 between surgery and HGs (p = 0.433). In particular, the mean difference in the number of arteries detected in the upper lobes was 0.67 ± 1.08 between surgery and CT images and 0.17 ± 0.46 between surgery and holograms (p = 0.029). Both radiologist and surgeon showed a higher agreement for holograms (κ = 0.99) than for CT (κ = 0.81) and found holograms easier to evaluate than CTs (p < 0.001).

conclusionsAugmented reality by holograms is an effective tool for preoperative vascular anatomy assessment of lungs, especially when evaluating the upper lobes, more prone to anatomical variations.

trial registrationClinicalTrials.gov, NCT04227444 RELEVANCE STATEMENT: Preoperative evaluation of the lung lobe arteries through augmented reality may help the thoracic surgeons to carefully plan a lobectomy, thus contributing to optimize patients' outcomes. KEY POINTS: • Preoperative assessment of the lung arteries may help surgical planning. • Lung artery detection by augmented reality was more accurate than that by CT images, particularly for the upper lobes. • The assessment of the lung arterial vessels was easier by using holograms than CT images.

Indexed as

Augmented RealityHolographyLung NeoplasmsPulmonary ArteryTomography, X-Ray ComputedAgedFemaleHumansImaging, Three-DimensionalLungMaleMiddle AgedProspective StudiesReference StandardsAugmented realityHologramsLung neoplasmsThoracic surgeryTomography (x-ray computed)

Identifiers

PMID38724831
PMCPMC11082107

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Registered trials

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.