Automated Decision Support for Bone Scintigraphy
(2009) 22nd IEEE International Symposium on Computer-Based Medical Systems p.298-303- Abstract
- A quantitative analysis of metastatic bone involvement can be an important prognostic indicator of survival or a tool in monitoring treatment response in patients with cancer The purpose of this study was to develop a completely automated decision support system for whole-body bone scans using image analysis and artificial neural networks. The study population consisted of 795 whole-body bone scans. The decision support system first detects and classifies individual hotspots as being metastatic or not. A second prediction model then classifies the scan regarding metastatic disease on a patient level. The test set sensitivity and specificity was 95% and 64% respectively, corresponding to 95% area under the receiver operating characteristics... (More)
- A quantitative analysis of metastatic bone involvement can be an important prognostic indicator of survival or a tool in monitoring treatment response in patients with cancer The purpose of this study was to develop a completely automated decision support system for whole-body bone scans using image analysis and artificial neural networks. The study population consisted of 795 whole-body bone scans. The decision support system first detects and classifies individual hotspots as being metastatic or not. A second prediction model then classifies the scan regarding metastatic disease on a patient level. The test set sensitivity and specificity was 95% and 64% respectively, corresponding to 95% area under the receiver operating characteristics curve. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1628617
- author
- Ohlsson, Mattias LU ; Sjostrand, Karl ; Richter, Jens ; Kaboteh, Reza ; Sadik, May and Edenbrandt, Lars LU
- organization
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2009 22nd IEEE International Symposium on Computer-Based Medical Systems
- pages
- 298 - 303
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 22nd IEEE International Symposium on Computer-Based Medical Systems
- conference dates
- 2009-08-03 - 2009-08-04
- external identifiers
-
- wos:000278974800049
- scopus:70449638283
- ISSN
- 1063-7125
- ISBN
- 978-1-4244-4879-1
- DOI
- 10.1109/CBMS.2009.5255270
- language
- English
- LU publication?
- yes
- id
- 3f1f189a-b2ea-4a28-ae09-83b2437dc257 (old id 1628617)
- date added to LUP
- 2016-04-01 13:26:07
- date last changed
- 2024-01-09 13:37:52
@inproceedings{3f1f189a-b2ea-4a28-ae09-83b2437dc257, abstract = {{A quantitative analysis of metastatic bone involvement can be an important prognostic indicator of survival or a tool in monitoring treatment response in patients with cancer The purpose of this study was to develop a completely automated decision support system for whole-body bone scans using image analysis and artificial neural networks. The study population consisted of 795 whole-body bone scans. The decision support system first detects and classifies individual hotspots as being metastatic or not. A second prediction model then classifies the scan regarding metastatic disease on a patient level. The test set sensitivity and specificity was 95% and 64% respectively, corresponding to 95% area under the receiver operating characteristics curve.}}, author = {{Ohlsson, Mattias and Sjostrand, Karl and Richter, Jens and Kaboteh, Reza and Sadik, May and Edenbrandt, Lars}}, booktitle = {{2009 22nd IEEE International Symposium on Computer-Based Medical Systems}}, isbn = {{978-1-4244-4879-1}}, issn = {{1063-7125}}, language = {{eng}}, pages = {{298--303}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Automated Decision Support for Bone Scintigraphy}}, url = {{http://dx.doi.org/10.1109/CBMS.2009.5255270}}, doi = {{10.1109/CBMS.2009.5255270}}, year = {{2009}}, }