Intra- and Peri-tumoral Analysis with Multimodal Functional MRI for Preoperative Detection of Aggressive Endometrial Carcinoma in FIGO 2023

Motivation: Preoperative detection of aggressive endometrial carcinoma (EC) in the new 2023 FIGO system is essential for guiding surgical and fertility-preserving strategies, whereas pre‐ and postoperative tumor histological inconsistencies occur. Goal(s): Our goal was to determine if multimodal functional MRI could detect aggressive from non-aggressive subtype of EC as defined in FIGO 2023. Approach: We analyzed intra- and peritumoral parameters derived from intravoxel incoherent motion diffusion-weighted imaging, diffusion kurtosis imaging, and dynamic contrast-enhanced MRI between the two EC subtypes. Results: A comprehensive multiparametric MRI protocol, incorporating clinical data, morphological features, and quantitative MRI parameters, performed well in detecting aggressive subtype EC preoperatively. Impact: Multiparametric MRI, incorporating advanced quantitative sequences and conventional MRI features, could help effectively predict aggressive subtype EC in the FIGO 2023 system preoperatively, enhancing preoperative risk stratification and treatment planning in EC management.

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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/10.58530/2025/2695
Primary Topic
Adrenal and Paraganglionic Tumors
Type
article
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article

Intra- and Peri-tumoral Analysis with Multimodal Functional MRI for Preoperative Detection of Aggressive Endometrial Carcinoma in FIGO 2023

Luyuan Li, Qi Zhang, Lizhi Xie, Yuying Sun 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
Adrenal and Paraganglionic Tumors
article

Intra- and Peri-tumoral Analysis with Multimodal Functional MRI for Preoperative Detection of Aggressive Endometrial Carcinoma in FIGO 2023

Luyuan Li, Qi Zhang, Lizhi Xie, Yuying Sun, Yan Chen, Jieying Zhang, Xiaoduo Yu
article en

Abstract

Motivation: Preoperative detection of aggressive endometrial carcinoma (EC) in the new 2023 FIGO system is essential for guiding surgical and fertility-preserving strategies, whereas pre‐ and postoperative tumor histological inconsistencies occur. Goal(s): Our goal was to determine if multimodal functional MRI could detect aggressive from non-aggressive subtype of EC as defined in FIGO 2023. Approach: We analyzed intra- and peritumoral parameters derived from intravoxel incoherent motion diffusion-weighted imaging, diffusion kurtosis imaging, and dynamic contrast-enhanced MRI between the two EC subtypes. Results: A comprehensive multiparametric MRI protocol, incorporating clinical data, morphological features, and quantitative MRI parameters, performed well in detecting aggressive subtype EC preoperatively. Impact: Multiparametric MRI, incorporating advanced quantitative sequences and conventional MRI features, could help effectively predict aggressive subtype EC in the FIGO 2023 system preoperatively, enhancing preoperative risk stratification and treatment planning in EC management.

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 60%
Adrenal and Paraganglionic Tumors
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Intra- and Peri-tumoral Analysis with Multimodal Functional MRI for Preoperative Detection of Aggressive Endometrial Carcinoma in FIGO 2023 — Luyuan Li, Qi 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 (2025) | TGRS Research Map | TGRS