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99mTc-MAG3 diuresis renography in differentiating renal obstruction: Using statistical parameters as new quantifiable
S Suriyanto1, E Y K Ng2, C E David Ng3
1NTU Institute for Health Technologies, Interdisciplinary Graduate School, Nanyang Technological University, Singapore; School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Computers in Biology and Medicine
|August 13, 2019
Summary
New statistical parameters, MeanCV50 and MedianCV60, derived from renograms show promise for diagnosing renal obstruction severity using diuresis renography. These novel indices offer accurate differentiation of obstruction levels.
Area of Science:
- Nuclear Medicine
- Nephrology
- Medical Imaging Analysis
Background:
- Diuresis renography is a key tool for assessing renal obstruction.
- Current diagnostic methods may require further refinement for precise obstruction grading.
- Statistical parameters from renograms offer potential for novel diagnostic indices.
Purpose of the Study:
- To investigate the feasibility of using mean count value (MeanCV) and median count value (MedianCV) from renograms as novel indices for diagnosing renal obstruction.
- To develop and validate modified MeanCV and MedianCV parameters for differentiating obstruction severity.
- To assess the diagnostic performance of these parameters in classifying renal obstruction into unobstructed, slightly obstructed, and heavily obstructed categories.
Main Methods:
- Re-digitalization and normalization of 132 renograms from 74 patients.
- Derivation and extrapolation of MeanCV and MedianCV using two-compartmental modeling.
- Determination of cutoff points and calculation of sensitivity and specificity for modified parameters to classify obstruction severity.
Main Results:
- Modified MeanCV and MedianCV parameters, specifically MeanCV50 and MedianCV60, effectively predicted renal obstruction severity.
- Established cutoff points for MeanCV50 (0.50 and 0.72) and MedianCV60 (0.35 and 0.69) accurately differentiated obstruction classes.
- MeanCV50 and MedianCV60 demonstrated independence from patient age and gender.
Conclusions:
- MeanCV50 and MedianCV60 derived from renograms are effective novel indices for diagnosing renal obstruction.
- These parameters can accurately classify obstruction into distinct severity levels.
- Integration of MeanCV50 and MedianCV60 into diagnostic systems holds potential for highly accurate renal obstruction diagnosis.
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