Accession Number : ADA302417
Title : Increasing the Accuracy of Mammogram Interpretation.
Descriptive Note : Annual rept. 15 Sep 94-14 Sep 95,
Corporate Author : BOLT BERANEK AND NEWMAN INC CAMBRIDGE MA
Personal Author(s) : Swets, John
PDF Url : ADA302417
Report Date : OCT 1995
Pagination or Media Count : 39
Abstract : The project's aim is to refine and evaluate practically a computer-based system that will provide decision support to the radiologist in interpreting mammograms and generate a standardized report of his/her findings for the referring clinician. The fully developed system will elicit from the radiologist via spoken prompts a spoken numerical scale value for each of the diagnostically most relevant perceptual features of the mammogram (usually on a 10-point scale). It will merge the values with optimal weights via a statistical prediction rule, to calculate a probability of malignancy as an advisory for the radiologist. From the pattern of feature values, the system will automatically construct a prose report of findings for the referring clinician; spoken recommendations and impressions will be accepted by the system to complete the report. The system is to be evaluated with two groups of radiologists and cases -- one from a diagnostic or referral setting, the other from a screening or community setting -- and corresponding groups of referring clinicians. Accomplishments in Year 1 have been to set criteria for study cases, locate them in hospital files, and process them into databases -- separately for the two clinical settings; develop an improved master list of perceptual features and associated response form; lay additional groundwork, conceptually and in software, for the automated report writer; advance the capability for data entry by speech recognition; and acquire system hardware.
Descriptors : *COMPUTER PROGRAMS, *COMPUTER APPLICATIONS, *SPEECH RECOGNITION, *MAMMARY GLANDS, *RADIOLOGY, *BREAST CANCER, DATA BASES, FILES(RECORDS), DATA PROCESSING, INPUT, SETTING(ADJUSTING), OPTIMIZATION, PROBABILITY, REPORTS, SCALE, WEIGHT, PATTERNS, VALUE, SPECIALISTS, HOSPITALS, NUMBERS, PERCEPTION, DECISION SUPPORT SYSTEMS.
Subject Categories : Medicine and Medical Research
Command, Control and Communications Systems
Distribution Statement : APPROVED FOR PUBLIC RELEASE