Evidence map›Paper›PMID 41356756›Full record

ReviewWorld journal of radiology2025

Neuroimaging with photon-counting computed tomography: A review of clinical applications.

Arosh S Perera Molligoda Arachchige, Gabriel Amorim Moreira Alves, Daniil Fedorov, Gaia Ressa, Luca Cappellini, Riccardo Levi, Giovanni Savini, Federica Catapano, Marco Francone, Letterio S Politi

Abstract readReview
In one paragraph

Review in World journal of radiology, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Arosh S Perera Molligoda ArachchigeDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy. aroshshavinda.pereramolligodaarachchige@st.hunimed.eu.
Gabriel Amorim Moreira AlvesDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.
Daniil FedorovDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.
Gaia RessaDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano 20089, Lombardy, Italy.
Luca CappelliniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.
Riccardo LeviDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano 20089, Lombardy, Italy.
Giovanni SaviniDepartment of Radiology, IRCCS Humanitas Research Hospital, Rozzano 20089, Lombardy, Italy.
Federica CatapanoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.
Marco FranconeDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.
Letterio S PolitiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele 20072, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon-counting computed tomography (PCCT) represents a transformative advancement in neuroimaging, offering superior spatial resolution, spectral imaging capabilities, reduced radiation dose, and enhanced contrast-to-noise ratios. This review explores the technical foundations of PCCT, its advantages over conventional CT, and its growing applications in neuroimaging. PCCT has shown promise in improving neurovascular imaging, detecting small vessels, and reducing artifacts near metallic implants. It also enhances the visualization of spontaneous intracranial hypotension and cerebrospinal fluid leaks and provides superior diagnostic accuracy in acute ischemic stroke imaging. However, current limitations, including protocol complexity, high data volume, and the absence of integrated artificial intelligence noise reduction algorithms, pose challenges to widespread adoption. Future research should address these limitations and refine PCCT's applications to unlock its full clinical potential.

Indexed as

Computed tomographyHeadNeuroimagingNeurovascularPhoton-counting

Identifiers

PMID41356756
PMCPMC12679133

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.