Evidence map›Paper›PMID 35113213›Full record

ArticleEuropean radiology2022

CT-based radiomics for differentiating intracranial contrast extravasation from intraparenchymal haemorrhage after mechanical thrombectomy.

Xiaojun Chen, Yuanzhe Li, Yongjin Zhou, Yan Yang, Jiansheng Yang, Peipei Pang, Yi Wang, Jianmin Cheng, Haibo Chen, Yifan Guo

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  10. Application of radiomics in ischemic stroke.The Journal of international medical research · 2024
    Review
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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 6 institutions in 1 country.

Xiaojun ChenDepartment of Radiology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, 365 Renmin East Road, Jinhua, 321000, China.
Yuanzhe LiCT/MRI Department, The Second Affiliated Hospital, Fujian Medical University, 34 Zhongshan North Road, Quanzhou, 362000, China.
Yongjin ZhouDepartment of Radiology, Lishui Hospital of Zhejiang University, 289 Kuocang Road, Lishui, 323000, China.
Yan YangDepartment of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Wenzhou, 325000, China.
Jiansheng YangDepartment of Neurology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, 88 Jiefang Road, Hangzhou, 325000, China.
Peipei PangDepartment of Pharmaceuticals Diagnosis, GE Healthcare, 122 Shuguang Road, Hangzhou, 310000, China.
Yi WangCT/MRI Department, The Second Affiliated Hospital, Fujian Medical University, 34 Zhongshan North Road, Quanzhou, 362000, China.
Jianmin ChengDepartment of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 Xueyuan West Road, Wenzhou, 325000, China.
Haibo ChenDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), 54 Youdian Road, Hangzhou, 310000, China. 11730367@qq.com.
Yifan GuoDepartment of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), 54 Youdian Road, Hangzhou, 310000, China. szyygyf@163.com.ORCID http://orcid.org/0000-0003-1875-7821
Fujian Medical University · CNWenzhou Medical University · CNZhejiang Chinese Medical University · CNLishui University · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

the medical health science and technology project of zhejiang provincial health commission No. 2020KY671
6 · The paper itself

Abstract

objectiveTo develop a nonenhanced CT-based radiomic signature for the differentiation of iodinated contrast extravasation from intraparenchymal haemorrhage (IPH) following mechanical thrombectomy.

methodsPatients diagnosed with acute ischaemic stroke who underwent mechanical thrombectomy in 4 institutions from December 2017 to June 2020 were included in this retrospective study. The study population was divided into a training cohort and a validation cohort. The nonenhanced CT images taken after mechanical thrombectomy were used to extract radiomic features. The maximum relevance minimum redundancy (mRMR) algorithm was used to eliminate confounding variables. Afterwards, least absolute shrinkage and selection operator (LASSO) logistic regression was used to generate the radiomic signature. The diagnostic performance of the radiomic signature was evaluated by the area under the curve (AUC), accuracy, specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV).

resultsA total of 166 intraparenchymal areas of hyperattenuation from 101 patients were used. The areas of hyperattenuation were randomly allocated to the training and validation cohorts at a ratio of 7:3. The AUC of the radiomic signature was 0.848 (95% confidence interval (CI) 0.780-0.917) in the training cohort and 0.826 (95% CI 0.705-0.948) in the validation cohort. The accuracy of the radiomic signature was 77.6%, with a sensitivity of 76.7%, a specificity of 78.9%, a PPV of 85.2%, and a NPV of 68.2% in the validation cohort.

conclusionsThe radiomic signature constructed based on initial post-operative nonenhanced CT after mechanical thrombectomy can effectively differentiate IPH from iodinated contrast extravasation. KEY POINTS: • Radiomic features were extracted from intraparenchymal areas of hyperattenuation on initial post-operative CT scans after mechanical thrombectomy. • The nonenhanced CT-based radiomic signature can differentiate IPH from iodinated contrast extravasation early. • The radiomic signature may help prevent unnecessary rescanning after mechanical thrombectomy, especially in cases where contrast extravasation is highly suggestive.

Indexed as

Brain IschemiaStrokeContrast MediaExtravasation of Diagnostic and Therapeutic MaterialsHemorrhageHumansRetrospective StudiesThrombectomyTomography, X-Ray ComputedContrast MediaExtravasation of diagnostic and therapeutic materialsIntracranial haemorrhageRadiomicsThrombectomyTomography, X-ray computed

Identifiers

PMID35113213
PMCPMC9213289
OpenAlexW4210540827

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Registered trials

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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.