Application Research of Cellular Microstructural Parameters Based on MRI in Predicting Lymph Node Metastasis and Tumor Deposit in Rectal Cancer

Motivation: During the diagnosis of LNM and TD, conventional MRI only makes judgments from macro-perspectives . However, the td-dMRI can analyze from the perspective of the microstructure of cancer cells. Goal(s): This study aims to explore the feasibility of predicting LNM and TD based on td-dMRI to obtain the microstructural parameters of cancer cells. Approach: td-dMRI was used to analyze Vin, d, Dex, and cellularity to predict LNM and TD before surgery. Results: The microstructural parameter diameter based on td-dMRI has potential in predicting LNM and TD of rectal cancer, and it is expected to provide assistance for the diagnosis and treatment of rectal cancer. Impact: The parameter diameter derived from td-dMRI has the potential to serve as an imaging biomarker for the preoperative prediction of LNM and TD.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/3903
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Application Research of Cellular Microstructural Parameters Based on MRI in Predicting Lymph Node Metastasis and Tumor Deposit in Rectal Cancer

Meining Chen, Yong Li, Xiaoli Chen, Si-Qi Yi 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

Application Research of Cellular Microstructural Parameters Based on MRI in Predicting Lymph Node Metastasis and Tumor Deposit in Rectal Cancer

Meining Chen, Yong Li, Xiaoli Chen, Si-Qi Yi, Xiaolei Dong
article en

Abstract

Motivation: During the diagnosis of LNM and TD, conventional MRI only makes judgments from macro-perspectives . However, the td-dMRI can analyze from the perspective of the microstructure of cancer cells. Goal(s): This study aims to explore the feasibility of predicting LNM and TD based on td-dMRI to obtain the microstructural parameters of cancer cells. Approach: td-dMRI was used to analyze Vin, d, Dex, and cellularity to predict LNM and TD before surgery. Results: The microstructural parameter diameter based on td-dMRI has potential in predicting LNM and TD of rectal cancer, and it is expected to provide assistance for the diagnosis and treatment of rectal cancer. Impact: The parameter diameter derived from td-dMRI has the potential to serve as an imaging biomarker for the preoperative prediction of LNM and TD.

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 63%
Radiomics and Machine Learning in Medical Imaging
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