Predictive value of DCE-MR perfusion parameters for microsatellite instability in colorectal cancer

Motivation: To find an imaging method that can evaluate microsatellite status of colorectal cancer (CRC). Goal(s): To investigate the value of DCE-MR perfusion parameters and ADC in predicting microsatellite instability of CRC. Approach: DCE-MR perfusion parameters, including Ktrans, Ve, kep, iAUC and ADC were compared between microsatellite instability (MSI) and microsatellite stability (MSS) CRC groups. Receiver operating characteristics (ROC) curve was drawn to evaluate diagnostic efficacy. Results: Univariable analysis revealed that kep had highest diagnostic accuracy (AUC, 0.890; sensitivity, 76.4%; specificity, 90.9%). The diagnostic accuracy of kep combined ADC was the greatest in multivariable analysis (AUC, 0.970; sensitivity, 90.0%; specificity, 100%). Impact: The combination of DCE-MRI based kep value and DWI based ADC value can provide excellent diagnostic accuracy in non-invasively predicting microsatellite status. This study provides insight into potential application of multi-modality MRI in predicting patient with CRC.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/3984
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Predictive value of DCE-MR perfusion parameters for microsatellite instability in colorectal cancer

Kai Ai, Wenting Ma, Xiuling Zhang, Lili 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
Radiomics and Machine Learning in Medical Imaging
article

Predictive value of DCE-MR perfusion parameters for microsatellite instability in colorectal cancer

Kai Ai, Wenting Ma, Xiuling Zhang, Lili Wang, Lulu Peng
article en

Abstract

Motivation: To find an imaging method that can evaluate microsatellite status of colorectal cancer (CRC). Goal(s): To investigate the value of DCE-MR perfusion parameters and ADC in predicting microsatellite instability of CRC. Approach: DCE-MR perfusion parameters, including Ktrans, Ve, kep, iAUC and ADC were compared between microsatellite instability (MSI) and microsatellite stability (MSS) CRC groups. Receiver operating characteristics (ROC) curve was drawn to evaluate diagnostic efficacy. Results: Univariable analysis revealed that kep had highest diagnostic accuracy (AUC, 0.890; sensitivity, 76.4%; specificity, 90.9%). The diagnostic accuracy of kep combined ADC was the greatest in multivariable analysis (AUC, 0.970; sensitivity, 90.0%; specificity, 100%). Impact: The combination of DCE-MRI based kep value and DWI based ADC value can provide excellent diagnostic accuracy in non-invasively predicting microsatellite status. This study provides insight into potential application of multi-modality MRI in predicting patient with CRC.

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 63%
Radiomics and Machine Learning in Medical Imaging
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