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Updated: Aug 15, 2025

Non-invasive Imaging of Acute Allograft Rejection after Rat Renal Transplantation Using 18F-FDG PET
Published on: April 28, 2013
Assessment of renal allograft rejection with diffusion tensor imaging
Chandan Jyoti Das1, Vijay Kubihal1, Sambuddha Kumar1
1Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Diffusion tensor imaging (DTI) using fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values shows promise for differentiating renal allograft rejection from stable function. These MRI parameters can aid in non-invasive assessment of kidney transplant health.
Area of Science:
- Radiology
- Nephrology
- Transplant Surgery
Background:
- Renal allograft rejection requires accurate differentiation from stable function for optimal patient management.
- Non-invasive imaging techniques are crucial for monitoring transplant recipients.
Purpose of the Study:
- To evaluate the diagnostic value of Diffusion Tensor Imaging (DTI) in distinguishing renal allograft rejection from well-functioning stable allografts.
- To assess the utility of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values in this differentiation.
Main Methods:
- Prospective study involving 22 stable allograft recipients and 20 patients with biopsy-proven rejection (acute and chronic).
- DTI-MRI was performed, measuring cortical and medullary FA and ADC values.
- Statistical analysis including AUC calculations was used to compare groups.
Main Results:
- Significant differences in cortical and medullary FA and ADC values were observed between stable allografts and rejected allografts.
- FA and ADC values demonstrated good discriminatory performance, with AUCs ranging from 0.709 to 0.853.
- Cortical FA values showed the highest diagnostic accuracy for differentiating rejection.
Conclusions:
- DTI-MRI, utilizing FA and ADC parameters, is a valuable non-invasive tool for assessing renal allograft status.
- Diffusion parameters can effectively differentiate between renal allograft rejection and well-functioning stable allografts.
- This technique offers a promising approach for monitoring kidney transplant recipients.
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