Identification of culprit plaques in stroke patients using radiomics based on three-dimensional high-resolution vascular wall imaging

Motivation: Identifying the culprit plaque among the plaques in stroke patients is important. Previous studies were based on 2D sequences, 3D HRMR-VWI is a novel imaging examination to evaluate vessel wall. Goal(s): To establish a high performance model to identify the culprit plaques in stroke patients. Approach: We used traditional method and five different radiomics methods to identify the culprit plaques in stroke patients based on 3D HRMR-VWI. Results: In traditional information, intraplaque hemorrhage is an independent predictor for culprit plaques, the efficacy of radiomics is much higher than traditional model, the extreme gradient boosting method showed the best performance in radiomics models. Impact: Our study established an accurate method to identify the culprit plaques in stroke patients, to help clinicians make a more precise treatment plan, it will improve the prognosis and prevent the recurrence in stroke patients.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2297
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Identification of culprit plaques in stroke patients using radiomics based on three-dimensional high-resolution vascular wall imaging

Wenzhen Zhu, Guiling Zhang
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Identification of culprit plaques in stroke patients using radiomics based on three-dimensional high-resolution vascular wall imaging

Wenzhen Zhu, Guiling Zhang
article en

Abstract

Motivation: Identifying the culprit plaque among the plaques in stroke patients is important. Previous studies were based on 2D sequences, 3D HRMR-VWI is a novel imaging examination to evaluate vessel wall. Goal(s): To establish a high performance model to identify the culprit plaques in stroke patients. Approach: We used traditional method and five different radiomics methods to identify the culprit plaques in stroke patients based on 3D HRMR-VWI. Results: In traditional information, intraplaque hemorrhage is an independent predictor for culprit plaques, the efficacy of radiomics is much higher than traditional model, the extreme gradient boosting method showed the best performance in radiomics models. Impact: Our study established an accurate method to identify the culprit plaques in stroke patients, to help clinicians make a more precise treatment plan, it will improve the prognosis and prevent the recurrence in stroke patients.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
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Openalex Percentile: Top 64%
Radiomics and Machine Learning in Medical Imaging
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Identification of culprit plaques in stroke patients using radiomics based on three-dimensional high-resolution vascular wall imaging — Wenzhen Zhu, Guiling Zhang · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS