Radiologists' ability of using computer-aided diagnosis (CAD) to improve breast biopsy recommendations

被引：0

作者：

Jiang, YL ^{[1
]}

Nishikawa, RM ^{[1
]}

机构：

[1] Univ Chicago, Dept Radiol, Kurt Rossmann Labs Radiol Image Res, Chicago, IL 60637 USA

来源：

MEDICAL IMAGING 1999: IMAGE PERCEPTION AND PERFORMANCE | 1999年 / 3663卷

关键词：

computer-aided diagnosis (CAD); medical decision-making; Observer performance study; diagnosis; breast cancer; mammography; digital mammography; clustered microcalcifications; classification; artificial neural networks (ANNs);

D O I：

10.1117/12.349663

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

An important issue in developing computer-aided diagnosis (CAD) methods is to demonstrate the ability of a computer aid to improve diagnostic accuracy when used by radiologists. A related issue to that is to understand how radiologists' decision-making is influenced by the computer aid. We conducted an observer performance study designed to address these issues for a computerized classification scheme for malignant and benign clustered microcalcifications in mammograms. Results of the study showed that radiologists' diagnostic performance improved significantly when they used the computer aid. The results also showed that radiologists were able to incorporate the computer aid-a quantitative analysis of the mammogram-effectively in their decision-making.

引用

页码：56 / 60

页数：5

共 12 条

[1] BREAST-CANCER - PREDICTION WITH ARTIFICIAL NEURAL-NETWORK-BASED ON BI-RADS STANDARDIZED LEXICON [J].

BAKER, JA ;

KORNGUTH, PJ ;

LO, JY ;

WILLIFORD, ME ;

FLOYD, CE .

RADIOLOGY, 1995, 196 (03) :817-822

[2] Computerized classification of malignant and benign microcalcifications on mammograms: Texture analysis using an artificial neural network [J].

Chan, HP ;

Sahiner, B ;

Petrick, N ;

Helvie, MA ;

Lam, KL ;

Adler, DD ;

Goodsitt, MM .

PHYSICS IN MEDICINE AND BIOLOGY, 1997, 42 (03) :549-567

[3] IMPROVEMENT IN RADIOLOGISTS DETECTION OF CLUSTERED MICROCALCIFICATIONS ON MAMMOGRAMS - THE POTENTIAL OF COMPUTER-AIDED DIAGNOSIS [J].

CHAN, HP ;

DOI, K ;

VYBORNY, CJ ;

SCHMIDT, RA ;

METZ, CE ;

LAM, KL ;

OGURA, T ;

WU, YZ ;

MACMAHON, H .

INVESTIGATIVE RADIOLOGY, 1990, 25 (10) :1102-1110

[4] ENHANCED INTERPRETATION OF DIAGNOSTIC IMAGES [J].

GETTY, DJ ;

PICKETT, RM ;

DORSI, CJ ;

SWETS, JA .

INVESTIGATIVE RADIOLOGY, 1988, 23 (04) :240-252

[5] Improving breast cancer diagnosis with computer-aided diagnosis [J].

Jiang, YL ;

Nishikawa, RM ;

Schmidt, RA ;

Metz, CE ;

Giger, ML ;

Doi, K .

ACADEMIC RADIOLOGY, 1999, 6 (01) :22-33

[6] Malignant and benign clustered microcalcifications: Automated feature analysis and classification [J].

Jiang, YL ;

Nishikawa, RM ;

Wolverton, DE ;

Metz, CE ;

Giger, ML ;

Schmidt, RA ;

Vyborny, CJ ;

Doi, K .

RADIOLOGY, 1996, 198 (03) :671-678

[7] COMPUTER-AIDED MAMMOGRAPHIC SCREENING FOR SPICULATED LESIONS [J].

KEGELMEYER, WP ;

PRUNEDA, JM ;

BOURLAND, PD ;

HILLIS, A ;

RIGGS, MW ;

NIPPER, ML .

RADIOLOGY, 1994, 191 (02) :331-337

[8]

Nishikawa RM, 1998, COMPUT IMAGING VIS, V13, P401

[9] COMPUTER-AIDED DETECTION OF CLUSTERED MICROCALCIFICATIONS ON DIGITAL MAMMOGRAMS [J].

NISHIKAWA, RM ;

GIGER, ML ;

DOI, K ;

VYBORNY, CJ ;

SCHMIDT, RA .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1995, 33 (02) :174-178

[10]

Sklansky J, 1998, RADIOLOGY, V209P, P392

← 1 2 →