Relative Ectopic Kidney Function Quantification Using DMSA Tomoscintigraphy Modality. (26th May 2020)
- Record Type:
- Journal Article
- Title:
- Relative Ectopic Kidney Function Quantification Using DMSA Tomoscintigraphy Modality. (26th May 2020)
- Main Title:
- Relative Ectopic Kidney Function Quantification Using DMSA Tomoscintigraphy Modality
- Authors:
- Njeh, Ines
Chtourou, Kalil
BenHamida, Ahmed - Other Names:
- Iriguchi Norio Academic Editor.
- Abstract:
- Abstract : The ectopic renal function estimation based on a manual region of interest (ROI) extraction could be considered as time consuming. It could also affect the clinical interpretation and thus deviate the therapeutic attitude. For this purpose, we propose an advanced tool to evaluate such function through the dimercaptosuccinic acid (DMSA) kidney scintigraphy scans. Methods . The proposed study has been performed on one hundred patients (fifty cases with normal kidneys and fifty cases with ectopic kidneys). We present our segmentation problems as several cost functions' optimization, each containing two terms: (i) a distribution matching prior, which evaluates a global similarity between distributions, and (ii) a smoothness prior to avoid the occurrence of small, isolated regions in the solution. Obtained following recent bound-relaxation results, the optima of the cost functions yield each kidney region in near real time. The Dice Metric (DM), the Jaccard Index (JI), and the correlation parameter have been adopted as validation parameters in order to evaluate the segmentation results. The obtained relative function of both kidneys has been then compared with that evaluated in clinical routine (planar projection) and then validated statistically by the Bland–Altman plots and the Interclass Correlation Coefficient (ICC). Results . Compared to the expert's manual kidney segmentation, the obtained results have been judged to be acceptable for clinical use with high MeanAbstract : The ectopic renal function estimation based on a manual region of interest (ROI) extraction could be considered as time consuming. It could also affect the clinical interpretation and thus deviate the therapeutic attitude. For this purpose, we propose an advanced tool to evaluate such function through the dimercaptosuccinic acid (DMSA) kidney scintigraphy scans. Methods . The proposed study has been performed on one hundred patients (fifty cases with normal kidneys and fifty cases with ectopic kidneys). We present our segmentation problems as several cost functions' optimization, each containing two terms: (i) a distribution matching prior, which evaluates a global similarity between distributions, and (ii) a smoothness prior to avoid the occurrence of small, isolated regions in the solution. Obtained following recent bound-relaxation results, the optima of the cost functions yield each kidney region in near real time. The Dice Metric (DM), the Jaccard Index (JI), and the correlation parameter have been adopted as validation parameters in order to evaluate the segmentation results. The obtained relative function of both kidneys has been then compared with that evaluated in clinical routine (planar projection) and then validated statistically by the Bland–Altman plots and the Interclass Correlation Coefficient (ICC). Results . Compared to the expert's manual kidney segmentation, the obtained results have been judged to be acceptable for clinical use with high Mean Dice Metric (MDM) value and high Jaccard Index (JI). The evaluated relative renal function has been different from those calculated by the projection planar method usually used in clinical routines. Conclusion . The proposed system could efficiently extract the renal region. The relative function estimation could be considered as more accurate. In fact, the background noise correction and the attenuation phenomenon, which could yield an error measure for renal ectopia, have been avoided. Our clinical staff members have validated the results and have suggested using such tool in their clinical routines. … (more)
- Is Part Of:
- Journal of healthcare engineering. Volume 2020(2020)
- Journal:
- Journal of healthcare engineering
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05-26
- Subjects:
- Hospital buildings -- Environmental engineering -- Periodicals
Medical technology -- Periodicals
Medical informatics -- Periodicals
610.28 - Journal URLs:
- http://www.hindawi.com/journals/jhe/ ↗
http://multi-science.metapress.com/content/r03085752427/?p=bacc87ee7c194c1aa6a045ab293b1f0f&pi=2 ↗ - DOI:
- 10.1155/2020/6092305 ↗
- Languages:
- English
- ISSNs:
- 2040-2295
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14298.xml