Evidence map›Paper›PMID 38315352›Full record

ArticleMagma (New York, N.Y.)2024

Cross

Minbo Jiang, Shuai Wang, Zhiwei Song, Limei Song, Yi Wang, Chuanzhen Zhu, Qiang Zheng

Abstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Minbo Jiang *School of Computer and Control Engineering, Yantai University, No 30, Qingquan Road, Laishan District, Yantai, 264005, Shandong, China.
Shuai Wang *Department of Radiology, Binzhou Medical University Hospital, Binzhou, 256603, China.
Zhiwei SongSchool of Computer and Control Engineering, Yantai University, No 30, Qingquan Road, Laishan District, Yantai, 264005, Shandong, China.
Limei SongSchool of Medical Imaging, Weifang Medical University, Weifang, 261000, China.
Yi WangSchool of Computer and Control Engineering, Yantai University, No 30, Qingquan Road, Laishan District, Yantai, 264005, Shandong, China.
Chuanzhen ZhuSchool of Computer and Control Engineering, Yantai University, No 30, Qingquan Road, Laishan District, Yantai, 264005, Shandong, China.
Qiang ZhengSchool of Computer and Control Engineering, Yantai University, No 30, Qingquan Road, Laishan District, Yantai, 264005, Shandong, China. zhengqiang@ytu.edu.cn.ORCID http://orcid.org/0000-0002-7853-8033

Funding

National Natural Science Foundation of China [61802330National Natural Science Foundation of China 61802331]Natural Science Foundation of Shandong Province [ZR2018BF008]
6 · The paper itself

Abstract

objectivesCT and MR are often needed to determine the location and extent of brain lesions collectively to improve diagnosis. However, patients with acute brain diseases cannot complete the MRI examination within a short time. The aim of the study is to devise a cross-device and cross-modal medical image synthesis (MIS) method Cross MATERIALS AND

methodsFor the retrospective study, the participants covered four different diseases of cerebral ischemic stroke (CIS-cohort), cerebral hemorrhage (CH-cohort), meningioma (M-cohort), glioma (G-cohort). The MIS model Cross

resultsA total of 230 participants (mean patient age, 59.77 years ± 13.63 [standard deviation]; 163 men [71%] and 67 women [29%]) were included, including CIS-cohort (95 participants between Dec 2019 and Feb 2022), CH-cohort (69 participants between Jan 2020 and Dec 2021), M-cohort (40 participants between Sep 2018 and Dec 2021), and G-cohort (26 participants between Sep 2019 and Dec 2021). The Cross

conclusionsCross

Indexed as

Brain NeoplasmsIschemic StrokeStrokeBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedCross-modalEdge lossFully convolutional transformerGenerative adversarial networkMagnetic resonance imaging

Identifiers

PMID38315352

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.