Dedicated breast CT: Fibroglandular volume measurements in a diagnostic population

• Published in: Medical physics (Lancaster) Vol. 39; no. 12; pp. 7317 - 7328
• Main Authors: Vedantham, Srinivasan, Shi, Linxi, Karellas, Andrew, O’Connell, Avice M.
• Format: Journal Article
• Language: English
• Published: United States American Association of Physicists in Medicine 01.12.2012
• Subjects: 60 APPLIED LIFE SCIENCES; ALGORITHMS; biological organs; BIOMEDICAL RADIOGRAPHY; BIOPSY; breast CT; breast density; Breast Neoplasms - diagnostic imaging; Cancer; CAT SCANNING; CHEST; CLASSIFICATION; CLINICAL TRIALS; Computed tomography; Computerised tomographs; computerised tomography; Cone beam computed tomography; DATA ANALYSIS; Digital computing or data processing equipment or methods, specially adapted for specific applications; DOSIMETRY; Dosimetry/exposure assessment; Female; fibroglandular volume; FUZZY LOGIC; glandular fraction; Humans; Image analysis; image classification; Image data processing or generation, in general; IMAGE PROCESSING; image segmentation; Imaging, Three-Dimensional - methods; MAMMARY GLANDS; Mammography; Mammography - methods; medical image processing; Medical image segmentation; Medical imaging; MONTE CARLO METHOD; Monte Carlo methods; Monte Carlo simulations; Organ Size; PATHOLOGY; Pattern Recognition, Automated - methods; PHANTOMS; radiation dose; RADIATION DOSES; Radiation Imaging Physics; RADIATION PROTECTION AND DOSIMETRY; Radiographic Image Enhancement - methods; Radiographic Image Interpretation, Computer-Assisted - methods; Reproducibility of Results; Segmentation; Sensitivity and Specificity; SKIN; statistical testing; Tissues; Tomography, X-Ray Computed - methods; WOMEN; fibroglandular volume; breast CT; radiation dose; breast density; glandular fraction
• ISSN: 0094-2405; 2473-4209; 1522-8541; 2473-4209; 0094-2405
• DOI: 10.1118/1.4765050

Purpose: To determine the mean and range of volumetric glandular fraction (VGF) of the breast in a diagnostic population using a high-resolution flat-panel cone-beam dedicated breast CT system. This information is important for Monte Carlo-based estimation of normalized glandular dose coefficients and for investigating the dependence of VGF on breast dimensions, race, and pathology. Methods: Image data from a clinical trial investigating the role of dedicated breast CT that enrolled 150 women were retrospectively analyzed to determine the VGF. The study was conducted in adherence to a protocol approved by the institutional human subjects review boards and written informed consent was obtained from all study participants. All participants in the study were assigned BI-RADS® 4 or 5 as per the American College of Radiology assessment categories after standard diagnostic work-up and underwent dedicated breast CT exam prior to biopsy. A Gaussian-kernel based fuzzy c-means algorithm was used to partition the breast CT images into adipose and fibroglandular tissue after segmenting the skin. Upon determination of the accuracy of the algorithm with a phantom, it was applied to 137 breast CT volumes from 136 women. VGF was determined for each breast and the mean and range were determined. Pathology results with classification as benign, malignant, and hyperplasia were available for 132 women, and were used to investigate if the distributions of VGF varied with pathology. Results: The algorithm was accurate to within ±1.9% in determining the volume of an irregular shaped phantom. The study mean (± inter-breast SD) for the VGF was 0.172 ± 0.142 (range: 0.012–0.719). VGF was found to be negatively correlated with age, breast dimensions (chest-wall to nipple length, pectoralis to nipple length, and effective diameter at chest-wall), and total breast volume, and positively correlated with fibroglandular volume. Based on pathology, pairwise statistical analysis (Mann-Whitney test) indicated that at the 0.05 significance level, there was no significant difference in distributions of VGF without adjustment for age between malignant and nonmalignant breasts (p = 0.41). Pairwise comparisons of the distributions of VGF in increasing order of mammographic breast density indicated all comparisons were statistically significant (p < 0.002). Conclusions: This study used a different clinical prototype breast CT system than that in previous studies to image subjects from a different geographical region, and used a different algorithm for analysis of image data. The mean VGF estimated from this study is within the range reported in previous studies, indicating that the choice of 50% glandular weight fraction to represent an average breast for Monte Carlo-based estimation of normalized glandular dose coefficients in mammography needs revising. In the study, the distributions of VGF did not differ significantly with pathology.