Evidence map›Paper›PMID 35965267›Full record

ArticleEuropean radiology experimental2022

Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?

Marco Curti, Federico Fontana, Filippo Piacentino, Christian Ossola, Andrea Coppola, Giulio Carcano, Massimo Venturini

Abstract read
In one paragraph

Article in European radiology experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
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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

7 authors.

Marco CurtiDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Federico FontanaDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Filippo PiacentinoDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Christian OssolaDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Andrea CoppolaDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Giulio CarcanoDepartment of General, Emergency and Transplants Surgery, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy.
Massimo VenturiniDiagnostic and Interventional Radiology, Circolo Hospital and Macchi Foundation, Insubria University, Varese, Italy. massimo.venturini@uninsubria.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasingly widespread use of computed tomography (CT) has increased the number of detected lung lesions, which are then subjected to needle biopsy to obtain histopathological diagnosis. Obtaining high-quality biopsy specimens is fundamental for diagnosis and biomolecular characterisation that guide therapy decision-making. In order to obtain samples with high diagnostic potential, fusion imaging techniques, such as fusion between positron emission tomography and CT, have been introduced to target the biopsy where there more viable neoplastic cells can be sampled. Nowadays, dual-layer spectral CT represents a novel technology enabling an increased tissue characterisation. In particular, Z-effective images, i.e., colour-coded images based on the effective atomic number of tissue components, provide a higher level of discrimination than usual imaged based on x-ray attenuation in Hounsfield units and offer the potential of a better tissue characterisation. Our hypothesis is based on the future use of data provided by spectral CT, in particular by Z-effective images, as a guide for appropriate biopsy sampling for histopathological and biomolecular characterisation in the era of patient tailored-therapy.

Indexed as

Positron-Emission TomographyTomography, X-Ray ComputedBiomarkersBiopsyHumansLungBiomarkersBiomarkersBiopsy (needle)Decision makingLung neoplasmsTomography (x-ray computed)

Identifiers

PMID35965267
PMCPMC9376184

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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.