Accession Number : ADA322138
Title : Increasing the Accuracy of Mammogram Interpretation.
Descriptive Note : Annual rept.15 Sep 95-14 Sep 96,
Corporate Author : BOLT BERANEK AND NEWMAN INC CAMBRIDGE MA
Personal Author(s) : Swets, John A.
PDF Url : ADA322138
Report Date : OCT 1996
Pagination or Media Count : 66
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 mammogram 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 2 have been to set final criteria for the study cases in the referral setting, locate them in hospital files, and process them into a database; develop a much improved master list of perceptual features and associated response form; lay additional groundwork for the automated report writer; complete the software for the radiologist's interactive data entry by speech; conduct pilot image-reading sessions; and to acquire additional hardware.
Descriptors : *BREAST CANCER, *MAMMOGRAPHY, COMPUTER PROGRAMS, DATA BASES, INFORMATION SYSTEMS, PROBABILITY, DIAGNOSIS(MEDICINE), IMAGES, PATTERNS, COMPUTER NETWORKS, PERCEPTION, MAMMARY GLANDS, RADIOLOGY, DECISION SUPPORT SYSTEMS.
Subject Categories : Information Science
Medicine and Medical Research
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE