Abstract
This paper shows how nuclear image interpretation is improved by Tetra, a case-based decision support system. Tetra exploits two kinds of knowledge sources: ontologies and knowledge embedded in past nuclear imaging reports, each imaging report being associated with a case, described by some features and its associated diagnoses. Ontologies are used, in addition with vocabulary resources, to semantically annotate the imaging reports. Links between case features and diagnoses in the training case base have been computed. In practice, when a new image test is run, Tetra exploits this features/diagnosis links, as well as the generalization/specialization relation of the ontologies to retrieve the cases that are the most similar to the new image test and to compute the most probable diagnoses. 8000 nuclear imaging reports have been collected to create a case base and almost 1000 other imaging reports have been used for the system evaluation, which shows that Tetra gives good results for the two diagnoses (necrosis and ischemia) which have been considered in this work. The first results shows that an ontology-based similarity computation between cases in order to display the most similar cases as well as the diagnosis probability computation helps the nuclear physician in her image interpretation task.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
A radiotracer is a molecule in which one atom has been replaced by a radioisotope, in order to trace the path of this molecule and to explore some biological pathways.
- 2.
ENT: ear, nose, and throat.
References
Riesbeck, C.K., Schank, R.C.: Inside Case-Based Reasoning. Lawrence Erlbaum Associates Inc., Hillsdale (1989)
Reiner, B.I.: Medical imaging data reconciliation, part 2: clinical order entry and imaging report data reconcilia-tion. J. Am. Coll. Radiol. (JACR) 8(10), 720–724 (2011)
Goldzweig, C.L., Orshansky, N.M., Paige, G., Miake-Lye, I.M., Beroes, J.M., Ewing, B.A., Shekelle, P.G.: Electronic health record-based interventions for improving appropriate diagnostic imaging: a systematic review and meta-analysis. Ann. Intern. Med. 162(8), 557–565 (2015)
Cordier, A., Dufour-Lussier, V., Lieber, J., Nauer, E., Badra, F., Cojan, J., Gaillard, E., Infante-Blanco, L., Molli, P., Napoli, A., Skaf-Molli, H.: Taaable: a case-based System for personalized cooking. In: Montani, S., Jain, L.C. (eds.) Successful Case-based Reasoning Applications-2. Studies in Computational Intelligence, vol. 494, pp. 121–162. Springer, Heidelberg (2014)
Gøeg, K.R., Cornet, R., Andersen, S.K.: Clustering clinical models from local electronic health records based on semantic similarity. J. Biomed. Inform. 54, 294–304 (2015)
Guyatt, G., Cairns, J., Churchill, D., et al.: Evidence-based medicine: a new approach to teaching the practice of medicine. JAMA 268(17), 2420–2425 (1992)
Perner, P.: Case-based reasoning and the statistical challenges. Qual. Reliab. Eng. Int. 24(6), 705–720 (2008)
Sandefer, R.H., Marc, D.T., Kleeberg, P.: Meaningful use attestations among us hospitals: The growing rural-urban divide. Perspect. Health Inf. Manag. 12 (2015)
Schmidt, R., Gierl, L.: The roles of prototypes in medical case-based reasoning systems. In: 4th German Workshop on CBR-System Development and Evaluation, Humbolt University, Informatik-Berichte, Berlin, pp. 207–216 (1996)
Bellazzi, R., Montani, S., Portinale, L.: Retrieval in a prototype-based case library: a case study in diabetes therapy revision. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS, vol. 1488, pp. 64–75. Springer, Heidelberg (1998). doi:10.1007/BFb0056322
Sharaf-El-Deen, D.A., Moawad, I.F., Khalifa, M.E.: A new hybrid case-based reasoning approach for medical diagnosis systems. J. Med. Syst. 38(2), 9 (2014)
Vallati, M., Gatta, R., De Bari, B., Magrini, S.M.: Clinical similarities: an innovative approach for supporting medical decisions. Stud. Health Technol. Inf. 192, 1114 (2013)
Bratsas, C., Koutkias, V., Kaimakamis, E., Bamidis, P.D., Pangalos, G.I., Maglaveras, N.: KnowBaSICS-M: an ontolo-gy-based system for semantic management of medical problems and computerised algorithmic solutions. Comput. Meth. Programs Biomed. 88(1), 39–51 (2007)
Popescu, M., Arthur, G.: Ontoquest: a physician decision support system based on ontological queries of the hospital database. In: AMIA Annual Symposium Proceedings, pp. 639–643 (2006)
Richter, M.M., Wess, S.: Similarity, Uncertainty and Case-Based Reasoning in Patdex. Springer, Dordrecht (1991)
Stram, R., Reuss, P., Althoff, K.-D., Henkel, W., Fischer, D.: Relevance matrix generation using sensitivity analysis in a case-based reasoning environment. In: Case-Based Reasoning Research and Development, pp. 402–412
Kurtz, C., Beaulieu, C.F., Napel, S., Rubin, D.L.: A hierarchical knowledge-based approach for retrieving similar medi-cal images described with semantic annotations. J. Biomed. Inform. 49, 227–244 (2014)
El-Naqa, I., Yang, Y., Galatsanos, N.P., Nishikawa, R.M., Wernick, M.N.: A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans. Med. Imaging 23(10), 1233–1344 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Chawki, M.B., Nauer, E., Jay, N., Lieber, J. (2017). Tetra: A Case-Based Decision Support System for Assisting Nuclear Physicians with Image Interpretation. In: Aha, D., Lieber, J. (eds) Case-Based Reasoning Research and Development. ICCBR 2017. Lecture Notes in Computer Science(), vol 10339. Springer, Cham. https://doi.org/10.1007/978-3-319-61030-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-61030-6_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61029-0
Online ISBN: 978-3-319-61030-6
eBook Packages: Computer ScienceComputer Science (R0)