Different Tracer Kinetic Models in predicting key molecular marker in adult diffuse Gliomas

Motivation: IDH, P53 and CDKN2A/2B are key molecular markers for adult diffuse gliomas. Goal(s): This study aimed to compare values of conventional and advanced tracer kinetic models based on dynamic contrast enhanced (DCE)-MRI in predicting IDH, P53 and CDKN2A/B status in glioma patinets. Approach: Patients diagnosed as adult diffuse gliomas were examined using dynamic contrast-enhanced MRI. Imaging data were analyzed using tracer kinetic models. Results: Extofts model attained best performance in predicting IDH mutation.ATH model attained best performance in predicting P53 mutation. DP model attained best performance in predicting CDKN2A/B homozygous deletion. Impact: Different Tracer Kinetic Models have illustrated excellent performance in predicting different molecular markers in glioma patients.

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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/10.58530/2024/5119
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Different Tracer Kinetic Models in predicting key molecular marker in adult diffuse Gliomas

Zhengyang Zhu, Huiquan Yang, Chuanshuai Tian, Bing Zhang et al.
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
Machine Learning in Materials Science
article

Different Tracer Kinetic Models in predicting key molecular marker in adult diffuse Gliomas

Zhengyang Zhu, Huiquan Yang, Chuanshuai Tian, Bing Zhang, Xin Zhang, Jianan Zhou, Zujun Hou
article en

Abstract

Motivation: IDH, P53 and CDKN2A/2B are key molecular markers for adult diffuse gliomas. Goal(s): This study aimed to compare values of conventional and advanced tracer kinetic models based on dynamic contrast enhanced (DCE)-MRI in predicting IDH, P53 and CDKN2A/B status in glioma patinets. Approach: Patients diagnosed as adult diffuse gliomas were examined using dynamic contrast-enhanced MRI. Imaging data were analyzed using tracer kinetic models. Results: Extofts model attained best performance in predicting IDH mutation.ATH model attained best performance in predicting P53 mutation. DP model attained best performance in predicting CDKN2A/B homozygous deletion. Impact: Different Tracer Kinetic Models have illustrated excellent performance in predicting different molecular markers in glioma 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
Openalex Percentile: Top 87%
Machine Learning in Materials Science
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