Discriminating tumor deposits and metastatic lymph nodes in rectal cancer with contrast-enhanced magnetic resonance imaging

Motivation: Rectal cancer survival is impacted by local recurrence and metastasis. Risk factors included tumor deposits (TDs) and metastatic lymph nodes (MLNs). Goal(s): To investigate the value of DCE-MRI parameters in distinguishing (TDs) from (MLNs) in rectal cancer, and to compare their effectiveness with T2WI and DWI. Approach: In a retrospective analysis of 70 rectal cancer patients, 168 lesions were evaluated using DCE-MRI and DWI, focusing on parameters like Ktrans, kep, and ve. Results: Significant differences between TDs and MLNs were found, with ve showing the highest AUC (0.772). A combined model improved diagnostic accuracy to an AUC of 0.833. Impact: A combination of morphological features, DCE-MRI parameters, and ADC values can assist in preoperative differentiation between TDs and MLNs in 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
2025-09-16
DOI
https://doi.org/10.58530/2025/3038
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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0.00
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article

Discriminating tumor deposits and metastatic lymph nodes in rectal cancer with contrast-enhanced magnetic resonance imaging

Yan Chen, Yiyan Liu, Xinyue Yang, Sha Yu 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

Discriminating tumor deposits and metastatic lymph nodes in rectal cancer with contrast-enhanced magnetic resonance imaging

Yan Chen, Yiyan Liu, Xinyue Yang, Sha Yu, Yuncan Ma, Yunzhu Wu, Ziqiang Wen, Xiaomei Wu, Yanhong Que
article en

Abstract

Motivation: Rectal cancer survival is impacted by local recurrence and metastasis. Risk factors included tumor deposits (TDs) and metastatic lymph nodes (MLNs). Goal(s): To investigate the value of DCE-MRI parameters in distinguishing (TDs) from (MLNs) in rectal cancer, and to compare their effectiveness with T2WI and DWI. Approach: In a retrospective analysis of 70 rectal cancer patients, 168 lesions were evaluated using DCE-MRI and DWI, focusing on parameters like Ktrans, kep, and ve. Results: Significant differences between TDs and MLNs were found, with ve showing the highest AUC (0.772). A combined model improved diagnostic accuracy to an AUC of 0.833. Impact: A combination of morphological features, DCE-MRI parameters, and ADC values can assist in preoperative differentiation between TDs and MLNs in 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
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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