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A Rat Orthotopic Renal Transplantation Model for Renal Allograft Rejection
Published on: February 2, 2022
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Scintigraphic texture analysis for assessment of renal allograft function
Ali Abbasian Ardakani1,2, Sepideh Hekmat3, Jamileh Abolghasemi4
1Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Polish Journal of Radiology
|July 25, 2018
Summary
Texture analysis (TA) of kidney scintigraphy effectively detects post-transplant kidney rejection and function changes. This imaging technique shows high accuracy in differentiating rejected from non-rejected allografts, aiding early diagnosis.
Area of Science:
- Medical Imaging
- Nephrology
- Transplant Surgery
Background:
- Monitoring kidney function post-transplantation is crucial for accurate diagnosis.
- Early detection of kidney status changes improves patient outcomes.
Purpose of the Study:
- To evaluate texture analysis (TA) in scintigraphic imaging.
- To detect changes in kidney status after transplantation.
Main Methods:
- Utilized scintigraphic images from 94 kidney allografts (39 rejected, 55 non-rejected).
- Analyzed images at 2nd, 5th, and 20th minutes to find optimal time for TA.
- Employed linear discriminant analysis and receiver operating characteristic curves.
Main Results:
- The 5th minute frame showed high accuracy (Az=0.982) in classifying rejected vs. non-rejected allografts.
- TA differentiated acute tubular necrosis from acute rejection with Az=0.953 at the 5th minute.
- The 20th minute frame showed the best correlation (r=-0.396) between texture features and glomerular filtration rate.
Conclusions:
- Texture analysis demonstrates significant potential for characterizing kidney failure post-transplantation.
- TA can enhance the accuracy of clinical diagnosis in kidney transplant recipients.
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