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Updated: May 11, 2026
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Time-dependent diffusion MRI derived microstructure parameters to predict differentiation degree and Ki-67 expression
1Department of Radiology, Sichuan Provincial People's Hospital, School of medicine, University of Electronic Science and Technology of China, 32# Second Section of First Ring Road, Qingyang District, Chengdu 610072, Sichuan, China.
Objective:
To investigate the utility values of time-dependent diffusion MRI (td-dMRI) in predicting differentiation degree and Ki-67 expression in rectal cancer.
Methods:
Seventy-three resectable rectal cancer patients who underwent td-dMRI examination were consecutively enrolled. Intracellular volume fraction (ICVF), cell diameter, extracellular diffusivity (Dex), cellularity, apparent diffusion coefficient (ADC) values at different diffusion times, relative ADC value, and ADC ratio were investigated. Intraclass correlation coefficients and Bland-Altman plots were used to determine repeatability. Mann-Whitney U test, logistic regression analysis, receiver operating characteristic (ROC), and the Delong's test were used for parameter differences evaluation, independent risk factor identifying, diagnostic ability assessing, and the area under the ROC curve (AUC) comparations for differentiation degree and Ki-67 expressions, respectively.
Results:
The cellularity, ADCPGSE, and ADC40HZ in the low differentiation degree group were significantly higher than moderate to high differentiation degree group (all P < 0.05). While, ICVF was significantly lower in low differentiation group. Tumor length, ICVF, cellularity, ADCPGSE and ADC40HZ were independent risk factors for low differentiation degree. The combined model achieved the highest diagnostic performance, with an AUC of 0.831 (95 %CI: 0.73, 0.93) for differentiation. For Ki-67 expression, ICVF in the high Ki-67 expression group was lower than that of low Ki-67 expression group (P = 0.001). MR-reported lymph node stage, extramural vascular invasion (EMVI), and ICVF were independent clinical risk factors for predicting high Ki-67 expression. The diagnostic ability of combined indicators reached an AUC of 0.820 (95 %CI: 0.71, 0.93) surpassed the individual of ICVF (AUC = 0.750, 95 %CI: 0.62, 0.88, P < 0.01).
Conclusion:
Td-dMRI-derived microstructural parameters may provide an alternative form of non-invasive imaging marker of differentiation degree and Ki-67 expression in rectal cancer and provide valuable information for treatment decisions.
Insights
Time-dependent diffusion MRI (td-dMRI) can non-invasively predict rectal cancer differentiation and Ki-67 expression. These microstructural parameters offer valuable insights for treatment decisions.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Rectal cancer grading relies on invasive methods.
- Accurate prediction of tumor differentiation and Ki-67 expression is crucial for treatment planning.
Purpose of the Study:
- To evaluate the utility of time-dependent diffusion MRI (td-dMRI) in predicting rectal cancer differentiation and Ki-67 expression.
- To explore td-dMRI-derived microstructural parameters as non-invasive biomarkers.
Main Methods:
- Seventy-three rectal cancer patients underwent td-dMRI.
- Analysis included intracellular volume fraction (ICVF), cellularity, and apparent diffusion coefficient (ADC) at various diffusion times.
- Statistical methods included logistic regression and ROC analysis to assess diagnostic performance.
Main Results:
- Cellularity and ADC values were higher in low-differentiation tumors, while ICVF was lower.
- td-dMRI parameters, including ICVF, cellularity, and ADC, were independent risk factors for differentiation.
- A combined model achieved an AUC of 0.831 for differentiation.
- ICVF was lower in high Ki-67 expression tumors.
- A combined model incorporating clinical factors and ICVF achieved an AUC of 0.820 for predicting high Ki-67 expression.
Conclusions:
- td-dMRI-derived parameters serve as non-invasive imaging markers for rectal cancer differentiation and Ki-67 expression.
- These findings can inform treatment decisions for rectal cancer patients.
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