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Biomedical subjects

Yuanshui Zheng

Publications and source records attributed to Yuanshui Zheng.

3 recordsLinked to original sources

Comparison of calcification specificity in digital mammography using soft-copy display versus screen-film mammography.

OBJECTIVE: The purpose of this study was to compare specificity in the interpretation of calcifications in soft-copy reviewing of digital mammograms versus hard-copy reviewing of screen-film mammograms. MATERIALS AND METHODS: A total of 130 consecutive cases with calcifications (44 malignant and 86 benign) that had been evaluated with needle or surgical biopsy were collected. Both screen-film mammography and soft-copy digital mammography were obtained in the same patients under existing research protocols using Fischer Imaging's SenoScan (n = 71), Lorad's digital mammography system (n = 35), and GE Healthcare's Senographe 2000D (n = 24). Eight trained radiologists scored all lesions--cropped or masked to display just the region of interest--both on screen-film and soft-copy digital mammography with a month between reviews to reduce the effects of learning and memory. A 5-point malignancy scale was used, with 1 as definitely not, 2 as probably not, 3 as possibly, 4 as probably, and 5 as definitely. Reviewers were randomly assigned condition order, and images within each condition were randomly ordered. Repeated measures analysis of variance was used to test for differences between conditions in specificity computed via nonparametric receiver operating characteristic (ROC) study separately for each reviewer and condition. RESULTS: Across all reviewers, the mean specificity for 1 or 2 versus 3, 4, or 5 was 0.803 for screen-film mammography (range, 0.413-0.938; SD +/- 0.166) and 0.833 for soft-copy image (range, 0.375-0.951; SD +/- 0.187). Although not statistically significant (Student's t test p values from 0.19 to 0.99 across all cut points), numeric values of specificity were consistently higher for soft-copy versus screen-film mammography. No statistical significance in specificity was seen using all possible cut points in the 5-point scale, although the primary analysis used the cutpoint for differentiation between benign and malignant cases as 1 or 2 versus 3, 4, or 5. CONCLUSION: No statistically significant difference was shown in specificity achievable using soft-copy digital versus screen-film mammography in this study.

Biopsy↗

Online annotation tool for digital mammography.

RATIONALE AND OBJECTIVES: To develop a software tool for radiologists to annotate mammograms online. MATERIALS AND METHODS: The tool is web-based with a Java development environment and composed of a Digital Image and Communication in Medicine (DICOM) image viewer, a clinical information collector, and a database. The use of the tool with a sample case is demonstrated in this article. RESULTS: An online tool for the annotation of digital mammograms for teaching and research purposes has been developed. CONCLUSION: This annotation tool can be used to provide an annotated-case library on mammography education for residents and fellows.

Education, Medical, Continuing↗

NLM tele-educational application for radiologists to interpret mammography.

The goal of this study was to provide unique tools for an educational program to improve the skills, namely consistency and accuracy, of radiology residents who interpret digital mammograms. The tele-educational tools, created at UNC, will be implemented locally and connected to the National Digital Mammography Archive (NDMA) through the Next Generation Internet (NGI). This application includes an annotation tool, as well as a teaching and testing tool. The annotation tool will allow radiologists to label all imaging findings including the specific location information in mammograms, and make lesion diagnosis based on pathology reports. The teaching tool will allow teachers to demonstrate cases of specific types and diagnoses. Trainees themselves will also be able to use the teaching tool for reviewing of cases of types of their choosing. Our testing tool can test radiology residents inverted exclamation mark performance in interpreting digital mammograms, and provides them detailed performance test results, such as, sensitivity, specificity, ROC curves, AUC values, etc. A local Oracle database was designed and implemented at UNC to support those tools. We developed a method to map information of cases from the local database to DICOM Structure Reports by using XML techniques.

Breast Neoplasms↗