Evidence map›Paper›PMID 31857330›Full record

ArticleAJNR. American journal of neuroradiology2020

Visualization of Lenticulostriate Arteries on CT Angiography Using Ultra-High-Resolution CT Compared with Conventional-Detector CT.

K Murayama, S Suzuki, H Nagata, J Oda, I Nakahara, K Katada, K Fujii, H Toyama

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  13. Assessments of microvascular function in organ systems.American journal of physiology. Heart and circulatory physiology · 2022
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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

8 authors at 4 institutions in 3 countries.

K MurayamaFrom the Joint Research Laboratory of Advanced Medical Imaging (K.M.) kmura@fujita-hu.ac.jp.ORCID 0000-0002-4167-1930
S SuzukiDepartments of Radiology (S.S., H.N., K.K., H.T.).ORCID 0000-0002-9076-4738
H NagataDepartments of Radiology (S.S., H.N., K.K., H.T.).ORCID 0000-0001-7998-955X
J OdaComprehensive Strokology (J.O., I.N.), Fujita Health University, Aichi, Japan.ORCID 0000-0001-6359-1387
I NakaharaComprehensive Strokology (J.O., I.N.), Fujita Health University, Aichi, Japan.ORCID 0000-0001-8909-2949
K KatadaDepartments of Radiology (S.S., H.N., K.K., H.T.).ORCID 0000-0002-5292-3056
K FujiiCanon Medical Systems (K.F.), Otawara, Japan.ORCID 0000-0001-6603-6362
H ToyamaDepartments of Radiology (S.S., H.N., K.K., H.T.).ORCID 0000-0002-5341-1693
Norwegian Womens Public Health Association · NOFujita Health University · JPAdvanced Imaging Research (United States) · USCanon (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe newly developed ultra-high-resolution CT is equipped with a 0.25-mm detector, which has one-half the conventional section thickness, one-half the in-plane detector element width, and one-half the reconstructed pixel width compared with conventional-detector CT. Thus, the ultra-high-resolution CT scanner should provide better image quality for microvasculature than the conventional-detector CT scanners. This study aimed to determine whether ultra-high-resolution CT produces superior-quality images of the lenticulostriate arteries compared with conventional-detector CT. MATERIALS AND

methodsFrom February 2017 to June 2017, thirteen patients with aneurysms (4 men, 9 women; mean age, 61.2 years) who underwent head CTA with both ultra-high-resolution CT and conventional-detector CT were enrolled. Two board-certified radiologists determined the number of all lenticulostriate arteries on the CTA coronal images of the MCA M1 segment reconstructed from 512 matrixes on conventional-detector CT and 1024 matrixes on ultra-high-resolution CT.

resultsThere were statistically more lenticulostriate arteries identified on ultra-high-resolution CT (average, 2.85 ± 0.83; 95% CI, 2.509-3.183) than on conventional-detector CT (average, 2.17 ± 0.76; 95% CI, 1.866-2.480) (

conclusionsImprovements in lenticulostriate artery visualization were the result of the combined package of the ultra-high-resolution CT scanner plus the ultra-high-resolution scanning protocol, which includes higher radiation doses with lower than the national diagnostic reference levels and stronger adaptive iterative dose-reduction processing. This package for ultra-high-resolution CT is a simple, noninvasive, and easily accessible method to evaluate microvasculature such as the lenticulostriate arteries.

Indexed as

AdultAgedArteriesBrainComputed Tomography AngiographyFemaleHumansMaleMiddle AgedNeuroimagingRadionuclide ImagingRetrospective Studies

Identifiers

PMID31857330
PMCPMC7015206
OpenAlexW2995926672

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.