Evidence map›Paper›PMID 35280488›Full record

ArticleJournal of thoracic disease2022

Augmented reality 3D navigation system for percutaneous CT-guided pulmonary ground-glass opacity biopsies: a comparison with the standard CT-guided technique.

Eliodoro Faiella, Laura Messina, Gennaro Castiello, Caterina Bernetti, Giuseppina Pacella, Carlo Altomare, Flavio Andresciani, Marina Sarli, Filippo Longo, Pierfilippo Crucitti and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Eliodoro FaiellaDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Laura MessinaDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Gennaro CastielloDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Caterina BernettiDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Giuseppina PacellaDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Carlo AltomareDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Flavio AndrescianiDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Marina SarliDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Filippo LongoDepartment of Thoracic Surgery, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Pierfilippo CrucittiDepartment of Thoracic Surgery, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Bruno Beomonte ZobelDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Rosario Francesco GrassoDiagnostic and Interventional Radiology, Departmental Falculty of Medicine and Surgery, Università Campus Bio-medico di Roma, Rome, Italy.
Università Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Augmented reality navigation system for percutaneous computed tomography (CT)-guided pulmonary biopsies has recently been introduced. There are no studies in literature about its use for ground glass lesions biopsies. The aim of this study is to evaluate the effectiveness of an augmented reality infrared navigation system performance on CT-guided percutaneous lung ground glass opacity (GGO) biopsy compared to a standard CT-guided technique. Methods: A total of 80 patients with lung GGO who underwent to a percutaneous CT-guided lung biopsy with an augmented reality infrared navigation system were retrospectively enrolled in the study. Comparison was performed with a group of 80 patients who underwent to lung biopsy with the standard CT-guided technique. Evaluation of maximum lesion diameter (MLD), distance between lesion and pleural surface (DPS), distance travelled by the needle (DTP), procedural time, validity of histological sample, procedural complications and the radiation dose to the patient's chest were recorded for each patient of both groups. In addition, each group was divided into two subgroups based on lesion size, according to a cut-off of 1.5 cm (<1.5 cm; ≥1.5 cm). Results: Augmented reality navigation system showed a significant reduction in procedural time, radiation dose administrated to patients and complications rate compared to a standard CT-guided technique. Technical success was achieved in the 100% of cases in both groups, but the diagnostical success was higher in the group where patients underwent to lung biopsies with the use of navigation system. We also found that using an augmented reality navigation system increases the diagnostical success rate for lesion <1.5 cm. MLD, DPS and DTP did not differ significantly between the two groups of patients. Conclusions: The use of an augmented reality navigation system for percutaneous CT-guided pulmonary GGO biopsies has demonstrated a lower incidence of post-procedural complications, a significantly reduction of the radiation dose administered to patients and a higher diagnostical success rate.

Indexed as

augmented reality navigation systemGround glass opacity (GGO)percutaneous lung biopsy (PLB)

Identifiers

PMID35280488
PMCPMC8902131
OpenAlexW4211010878

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.