Kathleen R Brandt, MD

Associate Professor, Rochester, MN, Radiology

EmailBrandt.Kathy@mayo.edu

Source: Scopus
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3617 Citations
35 Scopus h-Index
70 Article
10 Review article
2 Comment/debate
1 Conference article

Association of mammographic density measures and breast cancer “intrinsic” molecular subtypes
Kleinstern, G., Scott, C. G., Tamimi, R. M., Jensen, M. R., Pankratz, V. S., Bertrand, K. A., Norman, A. D., Visscher, D. W., Couch, F. J., Brandt, K., Shepherd, J., Wu, F. F., Chen, Y. Y., Cummings, S. R., Winham, S., Kerlikowske, K. & Vachon, C. M., May 2021, In: Breast Cancer Research and Treatment. 187, 1, p. 215-224 10 p.
Research output: Contribution to journal › Article › peer-review
MR Elastography of the Breast: Evolution of Technique, Case Examples, and Future Directions
Patel, B. K., Samreen, N., Zhou, Y., Chen, J., Brandt, K., Ehman, R. & Pepin, K., Feb 2021, In: Clinical breast cancer. 21, 1, p. e102-e111
Research output: Contribution to journal › Review article › peer-review
1 Scopus citations
Comparison of Clinical Performance Between Two Generations of Magnetic Resonance-guided Focused Ultrasound Systems in Treatments of Uterine Leiomyomas
Browne, J. E., Gorny, K. R., Hangiandreou, N. J., Edmonson, H. A., Long, Z., Brandt, K. R., Laughlin-Tommaso, S. K. & Hesley, G. K., 2020, (Accepted/In press) In: Academic radiology.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Evaluation of LIBRA software for fully automated mammographic density assessment in breast cancer risk prediction
Gastounioti, A., Kasi, C. D., Scott, C. G., Brandt, K. R., Jensen, M. R., Hruska, C. B., Wu, F. F., Norman, A. D., Conant, E. F., Winham, S. J., Kerlikowske, K., Kontos, D. & Vachon, C. M., Jul 2020, In: Radiology. 296, 1, p. 24-31 8 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL
Li, W., Newitt, D. C., Gibbs, J., Wilmes, L. J., Jones, E. F., Arasu, V. A., Strand, F., Onishi, N., Nguyen, A. A. T., Kornak, J., Joe, B. N., Price, E. R., Ojeda-Fournier, H., Eghtedari, M., Zamora, K. W., Woodard, S. A., Umphrey, H., Bernreuter, W., Nelson, M., Church, A. L. & 42 others, Bolan, P., Kuritza, T., Ward, K., Morley, K., Wolverton, D., Fountain, K., Lopez-Paniagua, D., Hardesty, L., Brandt, K., McDonald, E. S., Rosen, M., Kontos, D., Abe, H., Sheth, D., Crane, E. P., Dillis, C., Sheth, P., Hovanessian-Larsen, L., Bang, D. H., Porter, B., Oh, K. Y., Jafarian, N., Tudorica, A., Niell, B. L., Drukteinis, J., Newell, M. S., Cohen, M. A., Giurescu, M., Berman, E., Lehman, C., Partridge, S. C., Fitzpatrick, K. A., Borders, M. H., Yang, W. T., Dogan, B., Goudreau, S., Chenevert, T., Yau, C., DeMichele, A., Berry, D., Esserman, L. J. & Hylton, N. M., Dec 2020, In: npj Breast Cancer. 6, 1, 63.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Scopus citations

Association of mammographic density measures and breast cancer “intrinsic” molecular subtypes

MR Elastography of the Breast: Evolution of Technique, Case Examples, and Future Directions

Comparison of Clinical Performance Between Two Generations of Magnetic Resonance-guided Focused Ultrasound Systems in Treatments of Uterine Leiomyomas

Evaluation of LIBRA software for fully automated mammographic density assessment in breast cancer risk prediction

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL