Future directions in breast imaging.
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Biomedical subjects
Publications and source records attributed to Cherie Kuzmiak.
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RATIONALE AND OBJECTIVES: To determine the effects of three image-processing algorithms on diagnostic accuracy of digital mammography in comparison with conventional screen-film mammography. MATERIALS AND METHODS: A total of 201 cases consisting of nonprocessed soft copy versions of the digital mammograms acquired from GE, Fischer, and Trex digital mammography systems (1997-1999) and conventional screen-film mammograms of the same patients were interpreted by nine radiologists. The raw digital data were processed with each of three different image-processing algorithms creating three presentations-manufacturer's default (applied and laser printed to film by each of the manufacturers), MUSICA, and PLAHE-were presented in soft copy display. There were three radiologists per presentation. RESULTS: Area under the receiver operating characteristic curve for GE digital mass cases was worse than screen-film for all digital presentations. The area under the receiver operating characteristic for Trex digital mass cases was better, but only with images processed with the manufacturer's default algorithm. Sensitivity for GE digital mass cases was worse than screen film for all digital presentations. Specificity for Fischer digital calcifications cases was worse than screen film for images processed in default and PLAHE algorithms. Specificity for Trex digital calcifications cases was worse than screen film for images processed with MUSICA. CONCLUSION: Specific image-processing algorithms may be necessary for optimal presentation for interpretation based on machine and lesion type.
RATIONALE AND OBJECTIVES: To determine which factors affected the increase in average glandular dose recorded at the annual US Food and Drug Administration Mammography Quality Standards Act inspections of mammography equipment in North Carolina from 1997 to 2001. MATERIALS AND METHODS: Average glandular dose, HVL, kVp, ambient light, luminance, equipment age, processing speed, and system speed for every mammography unit at all facilities in the state were collected by state inspectors. A mixed-effect model was used to assess the average changes of glandular dose over time and to identify the factors associated with these changes. RESULTS: There was a statistically significant increase in the average glandular dose in North Carolina in 1999, 2000, and 2001 when compared with the baseline year of 1997. Factors that were statistically significantly linked to this effect were changes in kVp, processing speed, and system speed. CONCLUSION: Average glandular dose for mammography has recently increased in North Carolina. This change is likely caused by changes in screen-film products and processing techniques.
RATIONALE AND OBJECTIVES: To compare the diagnostic accuracy of the Fischer Senoscan Digital Mammography System with that of standard screen-film mammography in a population of women presenting for screening or diagnostic mammography. MATERIALS AND METHODS: Enrollment of patients took place at six different breast-imaging centers between 1997 and 1999. A total of 247 cases were selected for inclusion in the final reader study. All known cancer cases were included (111) from all six participating sites representing 45% of the total cases. The remaining 136 cases (55%) were randomly selected from all available benign or negative cases from three of the six sites. A complete case consisted of both a (unilateral or bilateral) digital and screen-film mammogram of the same patient. Eight radiologists interpreted the cases in laser-printed digital and screen-film hardcopy formats. The study was designed to detect differences of 0.05 in the ROC area under the curve (AUC) between digital and screen-film radiologist interpretation performance. RESULTS: The average AUC for the Senoscan digital was 0.715 for the 8 readers. The average AUC for screen-film was 0.765. The difference AUC of -0.05 falls within the 95% confidence interval (-0.101, 0.002). The average sensitivity was 66% and specificity 67% for SenoScan full-field digital mammography. The average screen-film mammography sensitivity and specificity were 74% and 60%, respectively. CONCLUSION: No statistically significant difference in diagnostic accuracy between the Fischer Senoscan and screen-film mammography was detected in this study.
BACKGROUND: The purpose of this study was to evaluate the efficacy of high-resolution axillary ultrasound in detecting axillary lymph node metastases after neoadjuvant chemotherapy in patients with locally advanced breast cancer. METHODS: Fifty-three patients with stage II or III breast cancer undergoing neoadjuvant chemotherapy who had a physical examination, high-resolution axillary ultrasound, and axillary lymph node dissection from January 1999 to September 2003 were included in this study. RESULTS: The positive predictive value of the postchemotherapy ultrasound for predicting pathologic nodal involvement was 83%, but the negative predictive value was only 52%. Postchemotherapy physical examination was also poor at predicting pathologic nodal involvement with a positive predictive value of 93% and a negative predictive value of only 58%. CONCLUSIONS: A negative post-neoadjuvant chemotherapy high-resolution axillary ultrasound or physical examination does not predict pathologic node status, and this test has limited value in this setting.
Since its introduction in the 1960s, ultrasound (US) has never been more important in breast disease management as it is today. Its historical role as an adjunct modality to mammography in differentiating cystic from solid lesions has been widely expanded. US-guided sampling procedures represent widely accepted modalities in lesion evaluation. Preoperative localization under US guidance is one of the methods of choice for nonpalpable solid lesions. Screening breast US is currently being investigated and might prove useful for high-risk women and women with dense breasts. Continuous technologic advances, such as high-frequency transducers, new Doppler-based techniques, microbubble contrast agents, harmonic and compound imaging, three-dimensional US, elasticity imaging, US detection of microcalcifications, perfusion US imaging, and computer-aided diagnosis all carry promise of further increases in US utility in the diagnosis and detection of breast disease.