A concept-based retrieval system for thoracic radiology

Current digital information systems in radiology are insufficient to accommodate the retrieval needs of academicians. Significant efforts are required in retrieving clinical cases for teaching and research. We describe a prototype system that supports intelligent case retrieval based on a combined specification of patient demographics, radiologic findings, and pathologic diagnoses. The documents for these cases can be distributed among multiple heterogeneous data bases. The system features automatic indexing of radiology and pathology reports, a comprehensive lexicon for thoracic radiology, an interface to a hospital information system, radiology information system, and picture archiving and communication systems, and a graphical user interface for query formulation and results visualization. The prototype system was developed within the domain of thoracic radiology involving patients with lung cancer.

[1]  A. Baert,et al.  [High-resolution CT of the lung]. , 1991, Rontgenpraxis; Zeitschrift fur radiologische Technik.

[2]  Stefan Wermter.  Hybrid Connectionist Natural Language Processing , 1994 .

[3]  S C Orphanoudakis,et al.  I2C: a system for the indexing, storage, and retrieval of medical images by content. , 1994, Medical informatics = Medecine et informatique.

[4]  Y Satomura,et al.  Structuring medical information into a language-independent database. , 1994, Medical informatics = Medecine et informatique.

[5]  Ricky K. Taira,et al.  The Knowledge-Based Object-Oriented PICQUERY+ Language , 1993, IEEE Trans. Knowl. Data Eng..

[6]  P. Haug,et al.  Computerized extraction of coded findings from free-text radiologic reports. Work in progress. , 1990, Radiology.

[7]  B L Humphreys,et al.  Assessing and enhancing the value of the UMLS Knowledge Sources. , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[8]  Ricky K. Taira,et al.  A semantic modeling approach for image retrieval by content , 1994, The VLDB Journal.

[9]  Roger A. Côté,et al.  Computerized natural medical language processing for knowledge representation : proceedings of the IFIP-IMIA WG6 International Working Conference on Computerized Natural Medical Language Processing for Knowledge Representation, Geneva, Switzerland, 12-15 September 1988 , 1989 .

[10]  Thomas Joseph,et al.  PICQUERY: A High Level Query Language for Pictorial Database Management , 1988, IEEE Trans. Software Eng..

[11]  D. Lindberg,et al.  The Unified Medical Language System , 1993, Methods of Information in Medicine.

[12]  Ricky K. Taira,et al.  Clinical results of HIS, RIS, PACS integration using data integration CASE tools , 1995, Medical Imaging.

[13]  Hemant D. Tagare,et al.  A Geometric Indexing Scheme for an Image Library , 1991 .

[14]  Ricky K. Taira,et al.  Architectural design and tools to support the transparent access to hospital information systems, radiology information systems, and picture archiving and communication systems , 1996, Journal of Digital Imaging.

[15]  Euripides G. M. Petrakis,et al.  Image archiving by content: an object-oriented approach , 1990, Medical Imaging.

[16]  Glenn D. Blank.  A finite and real-time processor for natural language , 1989, CACM.

[17]  Michael Stonebraker,et al.  Database systems: achievements and opportunities , 1990, SGMD.

[18]  Shi-Kuo Chang,et al.  Image Information Systems: Where Do We Go From Here? , 1992, IEEE Trans. Knowl. Data Eng..

[19]  C Friedman,et al.  The UMLS coverage of clinical radiology. , 1992, Proceedings. Symposium on Computer Applications in Medical Care.

[20]  Sebastian Lange,et al.  Radiology of Chest Diseases , 1998 .

[21]  Nicoletta Calzolari,et al.  Review of Medical language processing: computer management of narrative data by Naomi Sager, Carol Friedman, and Margaret S. Lyman. Addison-Wesley 1987. , 1989 .

[22]  C. Jaffe,et al.  Medical imaging databases. A National Institutes of Health workshop. , 1993, Investigative radiology.

[23]  W. J. Tuddenham,et al.  Glossary of terms for thoracic radiology: recommendations of the Nomenclature Committee of the Fleischner Society. , 1984, AJR. American journal of roentgenology.

[24]  Douglas E. Appelt,et al.  FASTUS: A Finite-state Processor for Information Extraction from Real-world Text , 1993, IJCAI.

[25]  Wolfgang F. Dahnert,et al.  Radiology Review Manual , 1991 .

[26]  B L Humphreys,et al.  The UMLS project: making the conceptual connection between users and the information they need. , 1993, Bulletin of the Medical Library Association.

[27]  E H Shortliffe,et al.  Medical Informatics and Clinical Decision Making: The Science and the Pragmatics * , 1991, Medical decision making : an international journal of the Society for Medical Decision Making.

[28]  G. William Moore,et al.  Computerized natural medical language processing for knowledge representation : J.R. Scherrer, R.A. Côté, and S.H. Mandil (eds.): North-Holland, Amsterdam, 1989, xvi + 296 pp., US$84.25 / Dfl, 160.00 , 1989, Artif. Intell. Medicine.