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Magnetic resonance radiomics-derived sphericity correlates with seizure in brain arteriovenous malformations

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Abstract

Objectives

Angioarchitectural analysis of brain arteriovenous malformations (BAVMs) is qualitative and subject to interpretation. This study quantified the morphology of and signal changes in the nidal and perinidal areas by using MR radiomics and compared the performance of MR radiomics and angioarchitectural analysis in detecting epileptic BAVMs.

Materials and methods

From 2010 to 2020, a total of 111 patients with supratentorial BAVMs were retrospectively included and grouped in accordance with the initial presentation of seizure. Patients’ angiograms and MR imaging results were analyzed to determine the corresponding angioarchitecture. The BAVM nidus was contoured on time-of-flight MR angiography images. The perinidal brain parenchyma was contoured on T2-weighted images, followed by radiomic analysis. Logistic regression analysis was performed to determine the independent risk factors for seizure. ROC curve analysis, decision curve analysis (DCA), and calibration curve were performed to compare the performance of angioarchitecture-based and radiomics-based models in diagnosing epileptic BAVMs.

Results

In multivariate analyses, low sphericity (OR: 2012.07, p = .04) and angiogenesis (OR: 5.30, p = .01) were independently associated with a high risk of seizure after adjustment for age, sex, temporal location, and nidal volume. The AUC for the angioarchitecture-based, MR radiomics-based, and combined models was 0.672, 0.817, and 0.794, respectively. DCA confirmed the clinical utility of the MR radiomics-based and combined models.

Conclusions

Low nidal sphericity and angiogenesis were associated with high seizure risk in patients with BAVMs. MR radiomics-derived tools may be used for noninvasive and objective measurement for evaluating the risk of seizure due to BAVM.

Clinical relevance statement

Low nidal sphericity was associated with high seizure risk in patients with brain arteriovenous malformation and MR radiomics may be used as a noninvasive and objective measurement method for evaluating seizure risk in patients with brain arteriovenous malformation.

Key Points

• Low nidal sphericity was associated with high seizure risk in patients with brain arteriovenous malformation.

• The performance of MR radiomics in detecting epileptic brain arteriovenous malformations was more satisfactory than that of angioarchitectural analysis.

• MR radiomics may be used as a noninvasive and objective measurement method for evaluating seizure risk in patients with brain arteriovenous malformation.

Graphical abstract

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Abbreviations

BAVM:

Brain arteriovenous malformation

DCA:

Decision curve analysis

DSA:

Digital subtraction angiography

ICC:

Intraclass correlation coefficient

LASSO:

Least absolute shrinkage and selection operator

RLN:

Run length nonuniformity

SD:

Standard deviation

TOF:

Time-of-flight

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Acknowledgements

We sincerely thank Hsin-Yi Huang (Biostatistics Task Force, Taipei Veterans General Hospital) for providing assistance in performing statistical analysis.

Funding

This study has received funding by Taipei Veterans General Hospital (grant number: V111C- 073) and Taiwan’s Ministry of Science and Technology (grant number: MOST- 109–2628-B-010–014).

Author information

Authors and Affiliations

  1. Department of Radiology, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan

    Jih-Yuan Lin, Yong-Sin Hu, Jing Kai Loo, Kang-Lung Lee, Feng-Chi Chang & Chung-Jung Lin

  2. School of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou District, Taipei City, 112, Taiwan

    Jih-Yuan Lin, Yong-Sin Hu, Huai-Che Yang, Yo-Tsen Liu, Jing Kai Loo, Kang-Lung Lee, Feng-Chi Chang, Kang-Du Liou & Chung-Jung Lin

  3. Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou District, Taipei City, 112, Taiwan

    Chia-Feng Lu

  4. Department of Radiology, Taipei Hospital, Ministry of Health and Welfare, No. 127, Su-Yuan Rd., Hsin-Chuang Dist., New Taipei City, 24213, Taiwan

    Yong-Sin Hu

  5. Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan

    Huai-Che Yang

  6. Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Rd., Beitou District, 11217, Taipei City, Taiwan

    Yo-Tsen Liu & Kang-Du Liou

  7. Brain Research Centre, National Yang Ming Chiao Tung University College of Medicine, No. 155, Sec. 2, Linong St., Beitou District, Taipei City, 112, Taiwan

    Yo-Tsen Liu

  8. Institute of Brain Science, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou District, Taipei City, 112, Taiwan

    Yo-Tsen Liu

  9. Department of Radiation Oncology, University of Texas Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, USA

    Chien-Yi Liao

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  1. Jih-Yuan Lin
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Correspondence to Chung-Jung Lin.

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Guarantor

The scientific guarantor of this publication is Chung-Jung Lin.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

Hsin-Yi Huang (Biostatistics Task Force, Taipei Veterans General Hospital) kindly provided statistical advice for this manuscript.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

The protocol was reviewed and approved by the Institutional Review Board (3) of Taipei Veterans General Hospital. The protocol was implemented after review and approval by the Human Research Protection Center of TPEVGH (IRB No.: 2020–06-005C).

Study subjects or cohorts overlap

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Methodology

• Retrospective

• Cross-sectional study

• Performed at one institution

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Lin, JY., Lu, CF., Hu, YS. et al. Magnetic resonance radiomics-derived sphericity correlates with seizure in brain arteriovenous malformations. Eur Radiol 34, 588–599 (2024). https://doi.org/10.1007/s00330-023-09982-6

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