An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Matilda Landgren; Karl Sjöstrand; Mattias Ohlsson; Daniel Ståhl; Niels Christian Overgaard; Kalle Åström; Rune Sixt; Lars Edenbrandt

doi:10.1007/978-3-642-21227-7_46

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Christian Overgaard, Kalle Åström, Rune Sixt, Lars Edenbrandt

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.

Original language	English
Title of host publication	Image Analysis : 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings
Publisher	Springer
Publication date	2011
Pages	489-500
ISBN (Print)	978-3-642-21226-0
DOIs	https://doi.org/10.1007/978-3-642-21227-7_46
Publication status	Published - 2011
Event	17th Scandinavian Conference on Image Analysis (SCIA) - Ystad Saltsjöbad, Ystad, Sweden Duration: 23 May 2011 → 27 May 2011 http://www.maths.lth.se/vision/scia2011/

Conference

Conference	17th Scandinavian Conference on Image Analysis (SCIA)
Location	Ystad Saltsjöbad
Country/Territory	Sweden
City	Ystad
Period	23/05/2011 → 27/05/2011
Internet address	http://www.maths.lth.se/vision/scia2011/

Series	Lecture Notes in Computer Science
Number	6688
ISSN	0302-9743

Keywords

Active Shape Models
Nuclear Imaging
Artificial Neural Networks
Computer Aided Diagnosis

Access to Document

10.1007/978-3-642-21227-7_46

http://www.maths.lth.se/vision/scia2011/

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Landgren, M., Sjöstrand, K., Ohlsson, M., Ståhl, D., Overgaard, N. C., Åström, K., Sixt, R., & Edenbrandt, L. (2011). An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. In Image Analysis: 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings (pp. 489-500). Springer. https://doi.org/10.1007/978-3-642-21227-7_46

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abstract = "Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.",

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Landgren, M, Sjöstrand, K, Ohlsson, M, Ståhl, D, Overgaard, NC, Åström, K, Sixt, R & Edenbrandt, L 2011, An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. in Image Analysis: 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings. Springer, Lecture Notes in Computer Science, no. 6688, pp. 489-500, 17th Scandinavian Conference on Image Analysis (SCIA), Ystad, Sweden, 23/05/2011. https://doi.org/10.1007/978-3-642-21227-7_46

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. / Landgren, Matilda; Sjöstrand, Karl; Ohlsson, Mattias et al.
Image Analysis: 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings. Springer, 2011. p. 489-500 (Lecture Notes in Computer Science; No. 6688).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

AU - Landgren, Matilda

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AU - Overgaard, Niels Christian

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AU - Sixt, Rune

AU - Edenbrandt, Lars

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N2 - Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.

AB - Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99mTc- DMSA scintigraphy images. We present the chain of analysis and provide a discussion of its performance. On a per-lesion basis, the classification reached an ROC-curve area of 0.96 (sensitivity/specificity e.g. 97%/85%) measured using an independent test group consisting of 56 patients with 730 candidate lesions. We conclude that the presented system for diagnostic support has the potential of increasing the quality of care regarding this type of examination.

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Landgren M, Sjöstrand K, Ohlsson M, Ståhl D, Overgaard NC, Åström K et al. An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. In Image Analysis: 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings. Springer. 2011. p. 489-500. (Lecture Notes in Computer Science; No. 6688). doi: 10.1007/978-3-642-21227-7_46

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Abstract

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