Evidence map›Paper›PMID 37759090›Full record

ArticleCardiovascular and interventional radiology2023

CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection.

Andreas P Sauter, Roland Proksa, Andreas Knipfer, Stefan Reischl, Rickmer F Braren, Jonathan Nadjiri, Felix Kopp, Peter B Noël, Markus R Makowski, Ernst J Rummeny and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cardiovascular and interventional radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

11 authors at 5 institutions in 3 countries.

Andreas P SauterDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany. andreas.sauter@tum.de.ORCID http://orcid.org/0000-0003-4394-862X
Roland ProksaPhilips Research, Hamburg, Germany.
Andreas KnipferDepartment of Radiology, Helios Klinikum München West, Munich, Germany.
Stefan ReischlDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Rickmer F BrarenDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Jonathan NadjiriDepartment of Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Felix KoppDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Markus R MakowskiDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany.
Alexander A FingerleDepartment of Radiology, Kantonsspital Münsterlingen, Muensterlingen, Switzerland.
TUM Klinikum · DEKantonsspital Münsterlingen · CHMünchen Klinik · DEPhilips (Germany) · DEUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluation of dual-layer spectral computed tomography (CT) for contrast enhancement during image-guided biopsy of liver lesions using virtual monoenergetic images (VMI) and virtual non-contrast (VNC) images.

methodsSpectral CT data of 20 patients receiving CT-guided needle biopsy of focal liver lesions were used to generate VMI at energy levels from 40 to 200 keV and VNC images. Images were analyzed objectively regarding contrast-to-noise ratio between lesion center (CNR

resultsUsing VMI/VNC images, readers reported an increased visibility of the lesion compared to the conventional CT images in 18/20 cases. In 75% of cases, the highest visibility was derived by VMI-40. Showing all reconstructions simultaneously, VMI-40 offered the highest visibility in 75% of cases, followed by VNC in 12.5% of cases. Either CNR

conclusionsWhen implemented in the CT scanner software, automated contrast enhancement of liver lesions during image-guided biopsy may facilitate the procedure.

Indexed as

Liver NeoplasmsTomography, X-Ray ComputedBiopsyHumansRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSignal-To-Noise RatioComputed tomographyDual-layer spectral CTImage-guided biopsyImage post-processing techniqueLiver interventionX-Ray computed tomography

Identifiers

PMID37759090
PMCPMC10615904
OpenAlexW4387093882

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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.