The Application of High Temporal Resolution Semi-quantitative Dynamic Contrast Enhanced MRI in Predicting Ki-67 Expression in Breast Cancer

Motivation: It was hoped that a method can come under observation to capture the semi-quantitative hemodynamic characteristics of tumor enhancement, so as to provide richer and more accurate information for the early clinical diagnosis of breast cancer. Goal(s): To investigate the application value of semi-quantitative parameters of three enhanced sequences of MRI techniques in predicting Ki-67 expression in breast cancer. Approach: The semi-quantitative parameters of the enhanced images of the three groups were calculated respectively. The predictive parameters of Ki-67 expression in breast cancer were obtained by statistical analysis. Results: ROI1+54-per-brevity of enhancement was valuable for predicting the expression of Ki-67 in breast cancer(P=0.032). Impact: The DISCO-MRI with fast scanning speed and high time resolution needs to be further studied whether it can replace the traditional DCE-MRI scanning in the future, and it also needs to find a suitable post-processing mode.

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/10.58530/2024/4606
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

The Application of High Temporal Resolution Semi-quantitative Dynamic Contrast Enhanced MRI in Predicting Ki-67 Expression in Breast Cancer

Yicong Niu, Zihan Wang, Yuhui Xiong, Wen Feng 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
Radiomics and Machine Learning in Medical Imaging
article

The Application of High Temporal Resolution Semi-quantitative Dynamic Contrast Enhanced MRI in Predicting Ki-67 Expression in Breast Cancer

Yicong Niu, Zihan Wang, Yuhui Xiong, Wen Feng, Zhifan Li, Qinqin Ma, Junqiang Lei
article en

Abstract

Motivation: It was hoped that a method can come under observation to capture the semi-quantitative hemodynamic characteristics of tumor enhancement, so as to provide richer and more accurate information for the early clinical diagnosis of breast cancer. Goal(s): To investigate the application value of semi-quantitative parameters of three enhanced sequences of MRI techniques in predicting Ki-67 expression in breast cancer. Approach: The semi-quantitative parameters of the enhanced images of the three groups were calculated respectively. The predictive parameters of Ki-67 expression in breast cancer were obtained by statistical analysis. Results: ROI1+54-per-brevity of enhancement was valuable for predicting the expression of Ki-67 in breast cancer(P=0.032). Impact: The DISCO-MRI with fast scanning speed and high time resolution needs to be further studied whether it can replace the traditional DCE-MRI scanning in the future, and it also needs to find a suitable post-processing mode.

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 65%
Radiomics and Machine Learning in Medical Imaging
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