Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation

Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of glomerular filtration rate (GFR) than conventional planar scintigraphy. However, manual drawing of a volume of interest (VOI) on renal parenchyma in CT images is a labor-intensive and time-consuming task. The a...

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Bibliographic Details
Published in:Scientific reports 2019-03, Vol.9 (1), p.4223-4223, Article 4223
Main Authors: Park, Junyoung, Bae, Sungwoo, Seo, Seongho, Park, Sohyun, Bang, Ji-In, Han, Jeong Hee, Lee, Won Woo, Lee, Jae Sung
Format: Article
Language:English
Subjects:
639/166/985
639/766
Adult
Aged
Deep Learning
Female
Glomerular Filtration Rate
Humanities and Social Sciences
Humans
Image processing
Kidney - diagnostic imaging
Kidney - physiopathology
Kidneys
Lithiasis
Male
Middle Aged
multidisciplinary
Organ donors
Parenchyma
Science
Science (multidisciplinary)
Scintigraphy
Segmentation
Single photon emission computed tomography
Single Photon Emission Computed Tomography Computed Tomography
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Summary:Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of glomerular filtration rate (GFR) than conventional planar scintigraphy. However, manual drawing of a volume of interest (VOI) on renal parenchyma in CT images is a labor-intensive and time-consuming task. The aim of this study is to develop a fully automated GFR quantification method based on a deep learning approach to the 3D segmentation of kidney parenchyma in CT. We automatically segmented the kidneys in CT images using the proposed method with remarkably high Dice similarity coefficient relative to the manual segmentation (mean = 0.89). The GFR values derived using manual and automatic segmentation methods were strongly correlated (R2 = 0.96). The absolute difference between the individual GFR values using manual and automatic methods was only 2.90%. Moreover, the two segmentation methods had comparable performance in the urolithiasis patients and kidney donors. Furthermore, both segmentation modalities showed significantly decreased individual GFR in symptomatic kidneys compared with the normal or asymptomatic kidney groups. The proposed approach enables fast and accurate GFR measurement.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-40710-7