APTw Combined with Multiple Models DWI of Endometrial Cancer: Correlations between Multimodal Parameters and HIF-1α Expression

Motivation: Hypoxia inducible factor (HIF-1α) is a major transcriptional factor regulating gene expression under hypoxic conditions and could serve as an important biomarker for tumor aggressiveness or radiation resistance. Goal(s): This study aimed to investigate whether the multimodal functional MRI technique can be used for quantitatively measuring HIF-1α expression. Approach: APT, ADC, D, D*, f, MK, and MD values were calculated and compared between HIF-1α high expression and HIF-1α low expression groups. Results: APT, ADC, D, D*, MK and MD values were significantly higher in high HIF-1α expression than in low HIF-1α expression groups, whereas f value was significantly lower in high HIF-1α expression . Impact: The quantitative parameters of APTw combined with multi-model diffusion-weighted sequences allowed quantitative assessment of EC HIF-1α expression, and the combined quantitative parameters further enhanced the assessment efficacy.

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/10.58530/2024/0180
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
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article

APTw Combined with Multiple Models DWI of Endometrial Cancer: Correlations between Multimodal Parameters and HIF-1α Expression

Liangjie Lin, Changjun Ma, Shifeng Tian, Lihua Chen 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
Cancer, Hypoxia, and Metabolism
article

APTw Combined with Multiple Models DWI of Endometrial Cancer: Correlations between Multimodal Parameters and HIF-1α Expression

Liangjie Lin, Changjun Ma, Shifeng Tian, Lihua Chen, Jiazheng Wang, Ailian Liu, Qingling Song
article en

Abstract

Motivation: Hypoxia inducible factor (HIF-1α) is a major transcriptional factor regulating gene expression under hypoxic conditions and could serve as an important biomarker for tumor aggressiveness or radiation resistance. Goal(s): This study aimed to investigate whether the multimodal functional MRI technique can be used for quantitatively measuring HIF-1α expression. Approach: APT, ADC, D, D*, f, MK, and MD values were calculated and compared between HIF-1α high expression and HIF-1α low expression groups. Results: APT, ADC, D, D*, MK and MD values were significantly higher in high HIF-1α expression than in low HIF-1α expression groups, whereas f value was significantly lower in high HIF-1α expression . Impact: The quantitative parameters of APTw combined with multi-model diffusion-weighted sequences allowed quantitative assessment of EC HIF-1α expression, and the combined quantitative parameters further enhanced the assessment efficacy.

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
Good health and well-being
Openalex Percentile: Top 69%
Cancer, Hypoxia, and Metabolism
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