Computer-aided detection of amorphous calcifications.

OBJECTIVE Computer-aided detection (CAD) systems have been used successfully to detect malignant calcifications on mammography, with sensitivities ranging from 86% to 99%. Amorphous calcifications are a subset of small indistinct calcifications of intermediate concern that have a 20% likelihood of being malignant and that are frequently overlooked on mammography. The purpose of our study was to determine the sensitivity of one commercially available CAD system for detecting amorphous calcifications. MATERIALS AND METHODS A commercially available CAD system evaluated mammograms of 82 patients with 85 mammographically detected and histologically sampled groups of amorphous calcifications (21 malignant, 14 high risk, and 50 benign). The sensitivity of the system for detecting the calcifications on at least one image of the two-view mammographic examination (case sensitivity) and on each individual mammographic image (image sensitivity) was determined. Findings were correlated with results from large core needle biopsy or surgical excision in each case. RESULTS The CAD system detected amorphous calcifications in 43 of 85 cases (case sensitivity, 51%) and in 59 of 146 mammographic images (image sensitivity, 40%). The case sensitivities by histologic outcome were 57% for malignant calcifications, 29% for high-risk calcifications, and 54% for benign calcifications. An average of 2.0 false-positive marks were displayed per case. CONCLUSION The CAD sensitivity for malignant amorphous calcifications is markedly lower than previously reported for all malignant calcifications. Breast imaging radiologists who use CAD systems should continue to search diligently for these difficult-to-detect lesions.

[1]  L. Tabár,et al.  Potential contribution of computer-aided detection to the sensitivity of screening mammography. , 2000, Radiology.

[2]  P. Langenberg,et al.  Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment. , 2000, AJR. American journal of roentgenology.

[3]  Priscilla J Slanetz,et al.  Prospective assessment of computer-aided detection in interpretation of screening mammography. , 2006, AJR. American journal of roentgenology.

[4]  D. Ikeda,et al.  Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection. , 2001, Radiology.

[5]  Bruno Boyer,et al.  Le CAD en questions , 2006 .

[6]  J Champness,et al.  Reproducibility of prompts in computer-aided detection (CAD) of breast cancer. , 2003, Clinical radiology.

[7]  Mythreyi Bhargavan,et al.  Biopsy of amorphous breast calcifications: pathologic outcome and yield at stereotactic biopsy. , 2001, Radiology.

[8]  T. Freer,et al.  Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. , 2001, Radiology.

[9]  F. Hall Computer-aided detection (CAD) of amorphous calcifications. , 2006, AJR. American journal of roentgenology.

[10]  J. Baker,et al.  Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion. , 2003, AJR. American journal of roentgenology.

[11]  W. T. Ho,et al.  Clinical performance of computer-assisted detection (CAD system in detecting carcinoma in breasts of different densities. , 2003, Clinical Radiology.

[12]  H. Chan,et al.  Advances in computer-aided diagnosis for breast cancer , 2006, Current opinion in obstetrics & gynecology.

[13]  Antonis Frigas,et al.  “Hippocrates-mst”: a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer , 2006, Medical and Biological Engineering and Computing.