Ultra-high b-value DWI in Rectal Cancer: Image Quality Assessment and Prediction of Lymph Node Metastasis Based on Radiomic Features

Motivation: The potential benefits of ultra-high b-value DWI have not yet been elucidated for clinical values of rectal cancer. Goal(s): To evaluate image quality and lymph node metastasis in rectal cancer on multi-b value diffusion-weighted imaging (DWIb1000, DWIb2000 and DWIb3000). Approach: The image quality of three sets of DWI was measured by two radiologists independently. The radiomics model was trained on 70%, and tested on the remainderResults: The DWIb2000 exhibited excellent lesion conspicuity and was able to determine the outcome of of lymph node metastasis rectal with a predictive value of 0.728Impact: The DWIb2000 had great potential in improving detection of rectal cancer and was helpful to stratify the risk of lymph node metastasis of rectal cancer.

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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
2024-11-26
DOI
https://doi.org/10.58530/2024/3987
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Ultra-high b-value DWI in Rectal Cancer: Image Quality Assessment and Prediction of Lymph Node Metastasis Based on Radiomic Features

Guangwen Zhang, Yongfei Hao, Jinsong Zhang
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

Ultra-high b-value DWI in Rectal Cancer: Image Quality Assessment and Prediction of Lymph Node Metastasis Based on Radiomic Features

Guangwen Zhang, Yongfei Hao, Jinsong Zhang
article en

Abstract

Motivation: The potential benefits of ultra-high b-value DWI have not yet been elucidated for clinical values of rectal cancer. Goal(s): To evaluate image quality and lymph node metastasis in rectal cancer on multi-b value diffusion-weighted imaging (DWIb1000, DWIb2000 and DWIb3000). Approach: The image quality of three sets of DWI was measured by two radiologists independently. The radiomics model was trained on 70%, and tested on the remainderResults: The DWIb2000 exhibited excellent lesion conspicuity and was able to determine the outcome of of lymph node metastasis rectal with a predictive value of 0.728Impact: The DWIb2000 had great potential in improving detection of rectal cancer and was helpful to stratify the risk of lymph node metastasis of rectal cancer.

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 64%
Radiomics and Machine Learning in Medical Imaging
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