Evidence map›Paper›PMID 38512617›Full record

ArticleLa Radiologia medica2024

Histology profiling of lung tumors: tru-cut versus full-core system for CT-guided biopsies.

Marcello Andrea Tipaldi, Edoardo Ronconi, Nicolò Ubaldi, Fernando Bozzi, Francesco Siciliano, Aleksejs Zolovkins, Gianluigi Orgera, Miltiadis Krokidis, Giulio Quarta Colosso, Michele Rossi

Open access · hybridAbstract read
In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 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

10 authors at 2 institutions in 2 countries.

Marcello Andrea TipaldiDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy. tipaldi.andrea@gmail.com.ORCID http://orcid.org/0000-0001-8701-2044
Edoardo RonconiDepartment of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy.
Nicolò UbaldiDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
Fernando BozziDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
Francesco SicilianoDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
Aleksejs ZolovkinsDepartment of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy.
Gianluigi OrgeraDepartment of Interventional Radiology, Sant'Andrea University Hospital La Sapienza, Rome, Italy.
Miltiadis KrokidisSchool of Medicine, National and Kapodistrian University of Athens Areteion Hospital 76, Vas. Sophias Ave, 11528, Athens, Greece.
Giulio Quarta ColossoDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
Michele RossiDepartment of Surgical and Medical Sciences and Translational Medicine, "Sapienza" - University of Rome, Rome, Italy.
Azienda Ospedaliera Sant'Andrea · ITNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to compare the diagnostic yield and procedure-related complications of two different types of systems for percutaneous CT-guided lung biopsy. MATERIAL AND

methodsAll patients with a lung lesion who underwent a CT-guided lung biopsy at our institution, between January 2019 and 2021, were retrospectively analyzed. The inclusion criteria were: (a) Procedures performed using either a fully automated tru-cut or a semi-automated full-core biopsy needle, (b) CT images demonstrating the position of the needles within the lesion, (c) histopathological result of the biopsy and (d) clinical follow-up for at least 12 months and\or surgical histopathological results. A total of 400 biopsy fulfilling the inclusion criteria were selected and enrolled in the study.

resultsOverall technical success was 100% and diagnostic accuracy was 84%. Tru-cut needles showed a significantly higher diagnostic accuracy when compared to full-core needles (91% vs. 77%, p = 0.0004) and a lower rate of pneumothorax (31% vs. 41%, p = 0.047). Due to the statistically significant different of nodules size between the two groups, we reiterated the statistical analysis splitting our population around the 20 mm cut-off for nodule size. We still observed a significant difference in diagnostic accuracy between tru-cut and full-core needles favoring the former for both smaller and larger lesions (81% vs. 71%, p = 0.025; and 92% vs. 81%; p = 0.01, respectively).

conclusionOur results demonstrated that the use of automated tru-cut needles is associated with higher histopathological diagnostic accuracy compared to semi-automated full-core needles for CTLB.

Indexed as

Lung NeoplasmsHumansImage-Guided BiopsyLungRetrospective StudiesTomography, X-Ray ComputedCT-guidedFull-core biopsyImage-guided biopsyLung neoplasmsLung nodulesTru-cut biopsy

Identifiers

PMID38512617
PMCPMC11021310
OpenAlexW4393041275

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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.