Title
Clinical relevance of model based computer-assisted diagnosis and therapy
Abstract
The ability to acquire and store radiological images digitally has made this data available to mathematical and scientific methods. With the step from subjective interpretation to reproducible measurements and knowledge, it is also possible to develop and apply models that give additional information which is not directly visible in the data. In this context, it is important to know the characteristics and limitations of each model. Four characteristics assure the clinical relevance of models for computer-assisted diagnosis and therapy: ability of patient individual adaptation, treatment of errors and uncertainty, dynamic behavior, and in-depth evaluation. We demonstrate the development and clinical application of a model in the context of liver surgery. Here, a model for intrahepatic vascular structures is combined with individual, but in the degree of vascular details limited anatomical information from radiological images. As a result, the model allows for a dedicated risk analysis and preoperative planning of oncologic resections as well as for living donor liver transplantations. The clinical relevance of the method was approved in several evaluation studies of our medical partners and more than 2900 complex surgical cases have been analyzed since 2002.
Year
DOI
Venue
2008
10.1117/12.780270
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
medical image computing,models,risk analysis,computer-assisted diagnosis,liver surgery
Risk analysis (business),Clinical significance,Medical image computing,Medical physics,Medical diagnostics,Surgery,Medicine,Computing systems,Radiological weapon,Scientific method
Conference
Volume
ISSN
Citations 
6915
0277-786X
11
PageRank 
References 
Authors
1.48
5
7
Name
Order
Citations
PageRank
Andrea Schenk131031.12
Stephan Zidowitz211214.10
Holger Bourquain3184.10
Milo Hindennach41229.50
Christian Hansen5135.23
Horst K. Hahn645072.61
Heinz-otto Peitgen71030114.91