Evidence map›Paper›PMID 31673747›Full record

ArticleNeuroradiology2020

Ultra-low-dose multiphase CT angiography derived from CT perfusion data in patients with middle cerebral artery stenosis.

Xiaoling Wu, Yuelong Yang, Menghuang Wen, Lijuan Wang, Yunjun Yang, Yuhu Zhang, Zihua Mo, Kun Nie, Biao Huang

Abstract read
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In one paragraph

Article in Neuroradiology, 2020. 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
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Xiaoling WuDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Yuelong YangDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Menghuang WenDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Lijuan WangDepartment of Neurology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Yunjun YangDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Yuhu ZhangDepartment of Neurology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Zihua MoDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Kun NieDepartment of Neurology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Biao HuangDepartment of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, People's Republic of China. huangbiao@gdph.org.cn.ORCID http://orcid.org/0000-0001-7915-5993
Guangdong Academy of Medical Sciences · CN

Funding

Fundamental Research Funds for the Central Universities 2018MS27Key R&D Program of Guangdong Province 2018B030339001National Natural Science Foundation of China 81671275
6 · The paper itself

Abstract

purposeComputed tomography (CT) perfusion (CTP) source images contain both brain perfusion and cerebrovascular information, and may allow a dynamic assessment of collaterals. The purpose of the study was to compare the image quality and the collaterals identified on multiphase CT angiography (CTA) derived from CTP datasets (hereafter called CTPA) reconstructed with iterative model reconstruction (IMR) algorithm in patients with middle cerebral artery (MCA) steno-occlusion with those of routine CTA.

methodsConsecutive patients with a unilateral MCA steno-occlusion underwent non-contrast CT (NCCT), CTP, and CTA. CTPA images were reconstructed from CTP datasets. The vascular attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of routine CTA and CTPA were measured and analyzed by Student's t test. Subjective image quality and collaterals were scored and compared using the Wilcoxon signed-rank test.

resultsFifty-eight patients (mean age 61.7 years, 78% males, median National Institutes of Health Stroke Scale score = 12) were included. The effective radiation dose of CTP was 1.28 mSv. The vascular attenuation, SNR, CNR, and the image quality of CTPA were considerably higher than that of CTA (all, p < 0.001). Collaterals were rated higher on CTPA compared with CTA (1.79 ± 0.64 vs. 1.22 ± 0.84, p < 0.001). Fifty-three percent of patients with poor collaterals assessed on single-phase CTA had good collaterals on CTPA.

conclusionCTPA derived from CTP datasets reconstructed with IMR algorithm offers image quality comparable to routine CTA and provides time-resolved evaluation of collaterals in patients with MCA ischemic disease.

Indexed as

AlgorithmsArterial Occlusive DiseasesCerebral AngiographyCerebral Arterial DiseasesComputed Tomography AngiographyFemaleHumansMaleMiddle AgedMiddle Cerebral ArteryProspective StudiesRadiation DosageRadiographic Image Interpretation, Computer-AssistedSignal-To-Noise RatioCollateral circulationComputed tomography angiographyIterative model reconstructionPerfusion imagingRadiation dosage

Identifiers

PMID31673747
OpenAlexW2986342084

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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.