Assessment of pathological prognostic factors in rectal cancer: comparison of DWI, IVIM, and DKI

Motivation: The prognosis of rectal cancer (RC), depends on pathological prognostic factors. Despite the contributions of MRI, accurate preoperative prediction of these factors remains challenging. Goal(s): Evaluate the values of DWI, IVIM, and DKI in predicting RC’s pathological prognostic factors. Approach: In 162 rectal cancer patients, we compared DWI, IVIM, and DKI MRI techniques to predict EMVI, LNM, and histological differentiation, analyzing correlations with histological data. Results: MK was identified as a powerful predictor, especially for histological differentiation and LNM. The combine of MK+MD exhibited robust potential to predict EMVI, highlighting the diagnostic values of these models for rectal cancer prognosis. Impact: This research enhances MRI's predictive capabilities for critical rectal cancer prognostic factors, potentially refining treatment planning and improving the prognosis of patients.

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/10.58530/2024/2881
Primary Topic
Colorectal Cancer Surgical Treatments
Type
article
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article

Assessment of pathological prognostic factors in rectal cancer: comparison of DWI, IVIM, and DKI

Meining Chen, Mi Zhou, Hongyun Huang, Qin 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
Colorectal Cancer Surgical Treatments
article

Assessment of pathological prognostic factors in rectal cancer: comparison of DWI, IVIM, and DKI

Meining Chen, Mi Zhou, Hongyun Huang, Qin Zhang
article en

Abstract

Motivation: The prognosis of rectal cancer (RC), depends on pathological prognostic factors. Despite the contributions of MRI, accurate preoperative prediction of these factors remains challenging. Goal(s): Evaluate the values of DWI, IVIM, and DKI in predicting RC’s pathological prognostic factors. Approach: In 162 rectal cancer patients, we compared DWI, IVIM, and DKI MRI techniques to predict EMVI, LNM, and histological differentiation, analyzing correlations with histological data. Results: MK was identified as a powerful predictor, especially for histological differentiation and LNM. The combine of MK+MD exhibited robust potential to predict EMVI, highlighting the diagnostic values of these models for rectal cancer prognosis. Impact: This research enhances MRI's predictive capabilities for critical rectal cancer prognostic factors, potentially refining treatment planning and improving the prognosis of patients.

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
Good health and well-being
Openalex Percentile: Top 62%
Colorectal Cancer Surgical Treatments
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