Evidence map›Paper›PMID 34808070›Full record

ArticleThe British journal of radiology2022

Diagnostic yield of CT-guided lung biopsies: how can we limit negative sampling?

Marcello Andrea Tipaldi, Edoardo Ronconi, Miltiadis E Krokidis, Aleksejs Zolovkins, Gianluigi Orgera, Florindo Laurino, Julia Daffina, Damiano Caruso, Andrea Laghi, Michele Rossi

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 21 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 Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Edoardo RonconiDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Miltiadis E Krokidis1st Department of Radiology, Aretaion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-2191-240X
Aleksejs ZolovkinsDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Gianluigi OrgeraDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Florindo LaurinoDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Julia DaffinaDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Damiano CarusoDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Andrea LaghiDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Michele RossiDepartment of Surgical Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Rome, Italy.
Sapienza University of Rome · ITNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether lesion imaging features may condition the outcome of CT-guided lung biopsy (CTLB) and to develop a scoring system of biopsy outcome prediction.

methodsThis is a single center retrospective study on 319 CTLBs that were performed in 319 patients (167 males/152 females, mean age 68 ± 12.2). Uni- and multivariate analysis were performed aiming to assess the imaging features that are likely to be correlated to a negative biopsy outcome and patients were stratified in groups accordingly.

resultsTechnical success was 100%. 78% of the biopsies (250/319) led to a concrete histology report (218 malignant/32 benign). The remaining lesions led to concrete histology at a second attempt that occurred on a later time. Multivariate analysis revealed increased risk of inconclusive result for nodules with low fludeoxyglucose uptake [odds ration (OR) = 2.64, 95% confidence interval (CI) 1.4-4.97;

conclusionThis study confirms that percutaneous CT-guided biopsy in nodules that are either small in diameter or present low positron emission tomography-fludeoxyglucose uptake or are in one of the lung bases may lead to inconclusive histology. This information should be factored when planning percutaneous biopsies of such nodules in terms of patient informed consent and biopsy strategy. ADVANCES IN KNOWLEDGE: Inconclusive histology after lung biopsy may be subject to factors irrelevant to technical success. Lung biopsy histology outcomes may be predicted and avoided after adequate planning.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overAnalysis of VarianceFemaleFluorodeoxyglucose F18HumansImage-Guided BiopsyLungLung NeoplasmsMaleMiddle AgedPositron-Emission TomographyRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID34808070
PMCPMC8822563
OpenAlexW3216333062

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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.