UTILITY OF SIMPLIFIED PERSONALIZED MANUAL DEPTH CORRECTION USING LATERAL SPOT VIEWS IN DTPA IMAGING FOR GFR ESTIMATION

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E-Poster

https://storage.unitedwebnetwork.com/files/1099/a3fcdd37ec75d4eae3591430ad452521.pdf

Abstract Title

First Name *

Urmila

Last Name *

Anandh

Co-author 1

Abhishek Behera abhishek_behera88@yahoo.com Amrita Hospitals Nuclear Medicine Faridabad, Delhi NCR

Co-author 2

Meghana Prabhu prabhus.meghana@gmail.com Amrita Hospitals Nuclear Medicine Faridabad , Delhi NCR

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Introduction

Glomerular Filtration Rate (GFR) is considered the best single metric for assessment of renal function. GFR can be estimated either using measured clearance of various glomerular filtered agents such as inulin, EDTA, DTPA etc.DTPA nuclear scans with camera based GFR estimation using Gates method is a rapid technique used regularly.

One potential source of error in the GFR estimation using Gates method is the use of automated depth estimation for attenuation and scatter correction. This is done using various nomogram based depth estimation methods using age, height and weight as parameters.

Gold standard for depth estimation is done with CT or MRI. However, this entails additional costs and radiation exposure.One simple method for manual depth estimation is by taking lateral spot views in DTPA scans.This method may provide an improvement over automated methods with minimal addition of time, effort and no additional costs.

This study attempts quantify benefits from this simple method as a potential improvement for camera based GFR estimation using DTPA scans.

Methods

Results

Conclusions

Higher BMI patients have lower GFR measurement when both manual corrections and nomograms are used.This needs further evaluation as Indian patients have a higher incidence of central obesity.

Manual depth correction for estimation of GFR significantly increases the value in comparison to that of established nomograms.

There are significant differences in the GFR measured by depth correction and nomograms in different BMI subgroups.

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