Evidence map›Paper›PMID 39237360›Full record

ArticleAJNR. American journal of neuroradiology2024

High-Resolution Head CTA: A Prospective Patient Study Comparing Image Quality of Photon-Counting Detector CT and Energy-Integrating Detector CT.

Felix E Diehn, Zhongxing Zhou, Jamison E Thorne, Norbert G Campeau, Alex A Nagelschneider, Laurence J Eckel, John C Benson, Ajay A Madhavan, Girish Bathla, Vance T Lehman and 5 more

Abstract readComparative Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. 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.

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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

15 authors.

Felix E DiehnFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-9458-8017
Zhongxing ZhouFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.
Jamison E ThorneFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3993-6423
Norbert G CampeauFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-0688-5781
Alex A NagelschneiderFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-4392-6287
Laurence J EckelFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5020-4234
John C BensonFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-4038-5422
Ajay A MadhavanFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1794-4502
Girish BathlaFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3170-242X
Vance T LehmanFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8713-8293
Nathan R HuberFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-6285-789X
Francis BaffourFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-8005-4823
Joel G FletcherFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8941-5434
Cynthia H McColloughFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5346-332X
Lifeng YuFrom the Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePhoton-counting detector CT (PCD-CT) is now clinically available and offers ultra-high-resolution (UHR) imaging. Our purpose was to prospectively evaluate the relative image quality and impact on diagnostic confidence of head CTA images acquired by using a PCD-CT compared with an energy-integrating detector CT (EID-CT). MATERIALS AND

methodsAdult patients undergoing head CTA on EID-CT also underwent a PCD-CT research examination. For both CT examinations, images were reconstructed at 0.6 mm by using a matched standard resolution (SR) kernel. Additionally, PCD-CT images were reconstructed at the thinnest section thickness of 0.2 mm (UHR) with the sharpest kernel, and denoised with a deep convolutional neural network (CNN) algorithm (PCD-UHR-CNN). Two readers (R1, R2) independently evaluated image quality in randomized, blinded fashion in 2 sessions, PCD-SR versus EID-SR and PCD-UHR-CNN versus EID-SR. The readers rated overall image quality (1 [worst] to 5 [best]) and provided a Likert comparison score (-2 [significantly inferior] to 2 [significantly superior]) for the 2 series when compared side-by-side for several image quality features, including visualization of specific arterial segments. Diagnostic confidence (0-100) was rated for PCD versus EID for specific arterial findings, if present.

resultsTwenty-eight adult patients were enrolled. The volume CT dose index was similar (EID: 37.1 ± 4.7 mGy; PCD: 36.1 ± 4.0 mGy). Overall image quality for PCD-SR and PCD-UHR-CNN was higher than EID-SR (eg, PCD-UHR-CNN versus EID-SR: 4.0 ± 0.0 versus 3.0 ± 0.0 (R1), 4.9 ± 0.3 versus 3.0 ± 0.0 (R2); all

conclusionsPCD-CT provides improved image quality for head CTA images compared with EID-CT, both when PCD and EID reconstructions are matched, and to an even greater extent when PCD-UHR reconstruction is combined with a CNN denoising algorithm.

Indexed as

Computed Tomography AngiographyPhotonsAdultAgedAged, 80 and overCerebral AngiographyFemaleHeadHumansMaleMiddle AgedProspective StudiesTomography, X-Ray Computed

Identifiers

PMID39237360
PMCPMC11448985

What OpenQuestion holds

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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.