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.
Taira
R K
RK
Department of Radiological Sciences, University of California, Los Angeles 90024-1721, USA.
Johnson
D B
DB
Bhushan
V
V
Rivera
M
M
Wong
C
C
Huang
L
L
Aberle
D R
DR
Greaves
M
M
Goldin
J G
JG
D000043:Abstracting and Indexing; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval; D008122:Local Area Networks; D008175:Lung Neoplasms / Q000000981:diagnostic imaging; D013902:Radiography, Thoracic; D011873:Radiology Information Systems; D018511:Systems Integration; D014584:User-Computer Interface