Predicting Preoperative Microsatellite Instability of Endometrial Cancer Using Amide Proton Transfer-Weighted Imaging and T2 Mapping

Motivation: Preoperative prediction of microsatellite instability (MSI) can provide a basis for personalized and precise treatment of endometrial cancer (EC). Goal(s): This study aimed to determine the feasibility of amide proton transfer-weighted imaging (APTw) and T2 mapping parameters in assessing MSI in EC. Approach: A total of 58 patients underwent preoperative MRI. Results: The APTw and T2 values were significantly different in MSI and microsatellite stable (MSS) groups. The AUC value of the combined APTw and T2 mapping model was significantly higher than the individual parameters. Therefore, the combined model might be considered effective in assessing the MSI of EC preoperatively. Impact: Our results demonstrate the promising potential of this combined model for the preoperative assessment of MSI in EA, which assists in formulating clinical therapeutic strategies and assessing prognosis.

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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
2025-09-16
DOI
https://doi.org/10.58530/2025/2147
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Predicting Preoperative Microsatellite Instability of Endometrial Cancer Using Amide Proton Transfer-Weighted Imaging and T2 Mapping

Ling‐Yu Chang, Dexin Yu, Tianyong Xu, Fang Wang 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

Predicting Preoperative Microsatellite Instability of Endometrial Cancer Using Amide Proton Transfer-Weighted Imaging and T2 Mapping

Ling‐Yu Chang, Dexin Yu, Tianyong Xu, Fang Wang, Qing Wang, Ying Xu, Xiangshui Meng, Lijun Du, Xinghua Xu, Lianhua Cheng, Dmytro Pylypenko
article en

Abstract

Motivation: Preoperative prediction of microsatellite instability (MSI) can provide a basis for personalized and precise treatment of endometrial cancer (EC). Goal(s): This study aimed to determine the feasibility of amide proton transfer-weighted imaging (APTw) and T2 mapping parameters in assessing MSI in EC. Approach: A total of 58 patients underwent preoperative MRI. Results: The APTw and T2 values were significantly different in MSI and microsatellite stable (MSS) groups. The AUC value of the combined APTw and T2 mapping model was significantly higher than the individual parameters. Therefore, the combined model might be considered effective in assessing the MSI of EC preoperatively. Impact: Our results demonstrate the promising potential of this combined model for the preoperative assessment of MSI in EA, which assists in formulating clinical therapeutic strategies and assessing prognosis.

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 81%
Machine Learning in Materials Science
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