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2015 | OriginalPaper | Buchkapitel

Medical Case-Based Retrieval of Patient Records Using the RadLex Hierarchical Lexicon

verfasst von : Assaf B. Spanier, Leo Joskowicz

Erschienen in: Multimodal Retrieval in the Medical Domain

Verlag: Springer International Publishing

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Abstract

We present a new method for the retrieval radiological cases from a database of clinical cases described by terms from the RadLex lexicon. The input is an database of cases and a query consisting of the patient volumetric scan, a user-defined region of interest in it, and a list of RadLex from the radiological report. The output is list of the most relevant cases from the database in decreasing order. Our method uses the RadLex terms and their hierarchical representation to define a similarity metric between terms based on their relative location in the hierarchy. For this purpose, we develop the Augmented RadLex Graph, a data structure that augments the RadLex hierarchy with links derived from the terms in the case reports, and a search algorithm that ranks case similarity based on the link distance between the terms in the graph. Our method was evaluated in the VISCERAL Retrieval Benchmark Challenge on 8 queries and a database of 1,813 cases. It ranked first in 6 out of the 8 cases tested.

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Literatur
1.
Zurück zum Zitat Gimenez, F., Xu, J., Liu, Y., Liu, T.T., Beaulieu, C.F., Rubin, D.L., Napel, S.: On the feasibility of predicting radiological observations from computational imaging features of liver lesions in CT scans. In: 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology, pp. 346–350 (2011) Gimenez, F., Xu, J., Liu, Y., Liu, T.T., Beaulieu, C.F., Rubin, D.L., Napel, S.: On the feasibility of predicting radiological observations from computational imaging features of liver lesions in CT scans. In: 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology, pp. 346–350 (2011)
2.
Zurück zum Zitat Langlotz, C.P.: RadLex: a new method for indexing online educational materials 1. Radiographics 26, 1595–1597 (2006)CrossRef Langlotz, C.P.: RadLex: a new method for indexing online educational materials 1. Radiographics 26, 1595–1597 (2006)CrossRef
3.
Zurück zum Zitat Langs, G., Hanbury, A., Menze, B., Müller, H.: VISCERAL: towards large data in medical imaging — challenges and directions. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2012. LNCS, vol. 7723, pp. 92–98. Springer, Heidelberg (2013) CrossRef Langs, G., Hanbury, A., Menze, B., Müller, H.: VISCERAL: towards large data in medical imaging — challenges and directions. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2012. LNCS, vol. 7723, pp. 92–98. Springer, Heidelberg (2013) CrossRef
4.
Zurück zum Zitat Lopez, V., Sabou, M., Uren, V., Motta, E.: Cross-ontology question answering on the Semantic Web an initial evaluation. In: Proceedings of the Fifth International Conference on Knowledge Capture, ACM (2009) Lopez, V., Sabou, M., Uren, V., Motta, E.: Cross-ontology question answering on the Semantic Web an initial evaluation. In: Proceedings of the Fifth International Conference on Knowledge Capture, ACM (2009)
5.
Zurück zum Zitat Müller, H., Greenspan, H.: Overview of the Third Workshop on Medical Content Based Retrieval for Clinical Decision Support. Medical Content-Based Retrieval for Clinical Decision Support, pp. 1–9 (2012) Müller, H., Greenspan, H.: Overview of the Third Workshop on Medical Content Based Retrieval for Clinical Decision Support. Medical Content-Based Retrieval for Clinical Decision Support, pp. 1–9 (2012)
6.
Zurück zum Zitat Rubin, D.L., Akgül, C.B., Napel, S., Beaulieu, C.F., Greenspan, H., Acar, B.: Content-based image retrieval in radiology: current status and future directions. J. Digital Imaging Official J. Soc. Comput. Appli. Radiol. 24(2), 208–228 (2011)CrossRef Rubin, D.L., Akgül, C.B., Napel, S., Beaulieu, C.F., Greenspan, H., Acar, B.: Content-based image retrieval in radiology: current status and future directions. J. Digital Imaging Official J. Soc. Comput. Appli. Radiol. 24(2), 208–228 (2011)CrossRef
7.
Zurück zum Zitat Seifert, S., Thoma, M., Stegmaier, F., Hammon, M., Kramer, M., Huber, M., Kriegel, H.P., Cavallaro, A., Comaniciu, D.: Combined semantic and similarity search in medical image databases. medical imaging 2011. In: Boonn (ed.) Advanced PACS-Based Imaging Informatics and Therapeutic Applications, vol. 7967, pp. 10–14 (2011) Seifert, S., Thoma, M., Stegmaier, F., Hammon, M., Kramer, M., Huber, M., Kriegel, H.P., Cavallaro, A., Comaniciu, D.: Combined semantic and similarity search in medical image databases. medical imaging 2011. In: Boonn (ed.) Advanced PACS-Based Imaging Informatics and Therapeutic Applications, vol. 7967, pp. 10–14 (2011)
8.
Zurück zum Zitat Spanier, A.B., Joskowicz, L.: Rule-based ventral cavity multi-organ automatic segmentation in CT scans. In: Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W.T., Metaxas, D. (eds.) MCV 2014. LNCS, vol. 8848, pp. 163–170. Springer, Heidelberg (2014) Spanier, A.B., Joskowicz, L.: Rule-based ventral cavity multi-organ automatic segmentation in CT scans. In: Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W.T., Metaxas, D. (eds.) MCV 2014. LNCS, vol. 8848, pp. 163–170. Springer, Heidelberg (2014)
9.
Zurück zum Zitat Toro Jiménez del, O.A., Foncubierta-Rodríguez, A., Müller, H., Langs, G., Hanbury, A.: Overview of the VISCERAL Retrieval benchmark 2015. In: Multimodal Retrieval in the Medical Domain, vol. 9059 (2015) Toro Jiménez del, O.A., Foncubierta-Rodríguez, A., Müller, H., Langs, G., Hanbury, A.: Overview of the VISCERAL Retrieval benchmark 2015. In: Multimodal Retrieval in the Medical Domain, vol. 9059 (2015)
Metadaten
Titel
Medical Case-Based Retrieval of Patient Records Using the RadLex Hierarchical Lexicon
verfasst von
Assaf B. Spanier
Leo Joskowicz
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-24471-6_12

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