Evidence map›Paper›PMID 35448239›Full record

ReviewJournal of imaging2022

Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications.

Mario Tortora, Laura Gemini, Imma D'Iglio, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo

Abstract readReview
In one paragraph

Review in Journal of imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Mario TortoraDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-4745-3061
Laura GeminiDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-0045-4673
Imma D'IglioDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Lorenzo UggaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-7811-4612
Gaia SpadarellaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Renato CuocoloDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-1452-1574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon-counting computed tomography (CT) is a technology that has attracted increasing interest in recent years since, thanks to new-generation detectors, it holds the promise to radically change the clinical use of CT imaging. Photon-counting detectors overcome the major limitations of conventional CT detectors by providing very high spatial resolution without electronic noise, providing a higher contrast-to-noise ratio, and optimizing spectral images. Additionally, photon-counting CT can lead to reduced radiation exposure, reconstruction of higher spatial resolution images, reduction of image artifacts, optimization of the use of contrast agents, and create new opportunities for quantitative imaging. The aim of this review is to briefly explain the technical principles of photon-counting CT and, more extensively, the potential clinical applications of this technology.

Indexed as

CT imagingdiagnostic imagingphoton-counting computed tomography

Identifiers

PMID35448239
PMCPMC9029331

What OpenQuestion holds

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Registered trials

None linked

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.