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Mattias Ohlsson

Mattias Ohlsson


Mattias Ohlsson

Automated Decision Support for Bone Scintigraphy


  • Mattias Ohlsson
  • Karl Sjostrand
  • Jens Richter
  • Reza Kaboteh
  • May Sadik
  • Lars Edenbrandt

Summary, in English

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.


  • Computational Biology and Biological Physics
  • Nuclear medicine, Malmö

Publishing year







2009 22nd IEEE International Symposium on Computer-Based Medical Systems

Document type

Conference paper


IEEE - Institute of Electrical and Electronics Engineers Inc.


  • Radiology, Nuclear Medicine and Medical Imaging

Conference name

22nd IEEE International Symposium on Computer-Based Medical Systems

Conference date

2009-08-03 - 2009-08-04



Research group

  • Nuclear medicine, Malmö


  • ISSN: 1063-7125
  • ISBN: 978-1-4244-4879-1