Patients with mammographically visible or palpable findings underwent T1- and fat-saturated T2 weighted spin-echo and contrast agent-enhanced fat-saturated gradient-echo MR imaging. Patients underwent subsequent excisional biopsy for histopathologic confirmation. An interpretational model was constructed using 98 cases and was tested prospectively using 94 different cases. Sensitivity, specificity, predictive values, and receiver operating characteristics curves were computed for all models. Individual features with highly predictive values were MR visibility, enhancement degree and pattern, focal mass border characteristics, and focal mass internal septations. The model was built in a stepwise fashion to result in a decision tree in which individual architectural features occupied decision nodes. The diagnostic performance of all models was assessed and comprised assessment of the performance of each model's individual terminal nodes (positive predictive value PPV and negative predictive value NPV), as well as performance of each model as a whole. Perhaps the most valuable aspect of our interpretation model is its ability to identify hierarchical combinations of features with high NPV's for malignancy. We were interested in individual features and feature combinations with a greater than 95% likelihood of being benign. If similar results are seen in prospective validation studies performed in other clinical settings, biopsy may not be necessary in patients with findings that fall into these five feature categories. In addition, the categories of ductal and regional enhancement, in particular, could benefit from further subcategorization. Thus far in our investigation, ductal enhancement has been sufficiently highly associated with malignancy, that if a case shows ductal enhancement the case is considered suspicious for malignancy. A larger sample size will allow the construction of an even more detailed model.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR002305-17
Application #
6349324
Study Section
Project Start
2000-09-01
Project End
2001-08-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
17
Fiscal Year
2000
Total Cost
$21,009
Indirect Cost
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Pang, Henry; Bow, Cora; Cheung, Jason Pui Yin et al. (2018) The UTE Disc Sign on MRI: A Novel Imaging Biomarker Associated With Degenerative Spine Changes, Low Back Pain, and Disability. Spine (Phila Pa 1976) 43:503-511
Ferraro, Pilar M; Jester, Charles; Olm, Christopher A et al. (2018) Perfusion alterations converge with patterns of pathological spread in transactive response DNA-binding protein 43 proteinopathies. Neurobiol Aging 68:85-92
Ercan, Altan; Kohrt, Wendy M; Cui, Jing et al. (2017) Estrogens regulate glycosylation of IgG in women and men. JCI Insight 2:e89703
Ban, H Y; Schweiger, M; Kavuri, V C et al. (2016) Heterodyne frequency-domain multispectral diffuse optical tomography of breast cancer in the parallel-plane transmission geometry. Med Phys 43:4383
Xie, Long; Dolui, Sudipto; Das, Sandhitsu R et al. (2016) A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment. Neuroimage Clin 11:388-397
Yadav, Santosh K; Kathiresan, Nagarajan; Mohan, Suyash et al. (2016) Gender-based analysis of cortical thickness and structural connectivity in Parkinson's disease. J Neurol 263:2308-2318
Finkelstein, Joel S; Lee, Hang; Leder, Benjamin Z et al. (2016) Gonadal steroid-dependent effects on bone turnover and bone mineral density in men. J Clin Invest 126:1114-25
Rosenbaum, Michael; Leibel, Rudolph L (2016) Models of energy homeostasis in response to maintenance of reduced body weight. Obesity (Silver Spring) 24:1620-9
Machida, Manabu; Panasyuk, George Y; Wang, Zheng-Min et al. (2016) Radiative transport and optical tomography with large datasets. J Opt Soc Am A Opt Image Sci Vis 33:551-8
McCarthy, Ann L; Winters, Madeline E; Busch, David R et al. (2015) Scoring system for periventricular leukomalacia in infants with congenital heart disease. Pediatr Res 78:304-9

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