Evidence map›Paper›PMID 31143652›Full record

ArticleQuantitative imaging in medicine and surgery2019

Preliminary application of CT perfusion source images for evaluating regional collateral circulation in unilateral Moyamoya disease.

Jing Xue, Yujing Peng, Yanan Zhang, Weiqi Chen, Yuesong Pan, Yu Qi, Lina Hao, Weibin Gu, Ning Wang, Peiyi Gao

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. 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
1.0field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 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

10 authors at 5 institutions in 1 country.

Jing XueDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yujing PengDepartment of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Yanan ZhangDepartment of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing 100010, China.
Weiqi ChenDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yu QiDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Lina HaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Weibin GuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Ning WangDepartment of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Peiyi GaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Capital Medical University · CNBeijing Tian Tan Hospital · CNBeijing Institute of Neurosurgery · CNFirst Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCollateral flow is associated with clinical outcomes for patients with Moyamoya disease and served as a parameter for patient selection of therapeutic strategies. Therefore, we explored whether a noninvasive imaging modality, computed tomography perfusion (CTP) source images (CTP-Sis), could be used to identify the presence and intensity of collateral flow using digital subtraction angiography (DSA) as a gold standard for collateral flow.

methodsCTP-Sis and DSA were performed for 24 patients with unilateral Moyamoya disease. A collateral grading system was developed based on arterial and venous phase CTP-Sis, imitating the DSA score system. Two neuroradiologists scored the DSA images using a collateral grading scale for the regions of interest corresponding to the Alberta Stroke Program Early computed tomography Score (ASPECTS) methodology. Another two neuroradiologists scored CTP-Sis in a similar manner. Agreement between the CTP-Sis and DSA consensus scores was determined, including kappa statistics.

resultsThe agreement between the CTP-Sis and DSA consensus readings was moderate to strong, with a weighted kappa value of 0.768 [95% confidence interval (CI), 0.703-0.832], but there was a better agreement for readers of CTP-Sis, as compared with those of DSA. The sensitivity and specificity for identifying collaterals with CTP-Sis were 0.714 (95% CI, 0.578-0.851) and 0.995 (95% CI, 0.985-1.000), respectively.

conclusionsCTP-Sis could help identify in a noninvasive manner the presence and intensity of collateral flow in patients with unilateral Moyamoya disease using DSA as a gold standard. Further study with a large number of cases is warranted. Further application of this method to other cerebrovascular diseases including acute ischemic stroke can also be warranted.

Indexed as

Angiographycollateral flowcomputed tomography perfusion (CTP)Moyamoya disease

Identifiers

PMID31143652
PMCPMC6511725
OpenAlexW2941550621

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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.