Evidence map›Paper›PMID 34745322›Full record

ArticleComputational and mathematical methods in medicine2021

Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot.

Yiwei Pu, Songmei Li, Siyu Ma, Yuanli Hu, Qinghui Hu, Yuting Liu, Mengting Wu, Jia An, Ming Yang, Xuming Mo

Abstract readValidation Study
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Yiwei PuDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-3014-7981
Songmei LiDepartment of Cardiac Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.ORCID https://orcid.org/0000-0003-0927-8271
Siyu MaDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-9497-9317
Yuanli HuDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-0980-2539
Qinghui HuDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-0372-443X
Yuting LiuDepartment of Radiology, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-9243-2497
Mengting WuDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-3368-0933
Jia AnDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-6138-8254
Ming YangDepartment of Radiology, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-5307-8272
Xuming MoDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-2264-6123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRadiomics could be potential imaging biomarkers by capturing and analyzing the features. Children and adolescents with CHD have worse neurodevelopmental and functional outcomes compared with their peers. Early diagnosis and intervention are the necessity to improve neurological outcomes in CHD patients.

methodsSchool-aged TOF patients and their healthy peers were recruited for MRI and neurodevelopmental assessment. LASSO regression was used for dimension reduction. ROC curve graph showed the performance of the model.

resultsSix related features were finally selected for modeling. The final model AUC was 0.750. The radiomics features can be potential significant predictors for neurodevelopmental diagnoses.

conclusionThe radiomics on the conventional MRI can help predict the neurodevelopment of school-aged children and provide parents with rehabilitation advice as early as possible.

Indexed as

BrainCase-Control StudiesChildChild DevelopmentComputational BiologyFemaleHumansLogistic ModelsMagnetic Resonance ImagingMaleTetralogy of FallotWavelet AnalysisWechsler Scales

Identifiers

PMID34745322
PMCPMC8570890

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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.