Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting

Brendan Moloney, Xin Li, Michael Hirano, Assim Saad Eddin, Jeong Youn Lim, Debosmita Biswas, Anum S. Kazerouni, Alina Tudorica, Isabella Li, Mary Lynn Bryant, Courtney Wille, Chelsea Pyle, Habib Rahbar, Su Kim Hsieh, Travis L. Rice-Stitt, Suzanne M. Dintzis, Amani Bashir, Evthokia Hobbs, Alexandra Zimmer, Jennifer M. Specht, Sneha Phadke, Nicole Fleege, James H. Holmes, Savannah C. Partridge, Wei Huang

Open source

DOI: 10.3389/fonc.2024.1395502
Published: 2024-11-29
Container: Frontiers in Oncology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2024.1395502,
  title = {Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting},
  author = {Brendan Moloney and Xin Li and Michael Hirano and Assim Saad Eddin and Jeong Youn Lim and Debosmita Biswas and Anum S. Kazerouni and Alina Tudorica and Isabella Li and Mary Lynn Bryant and Courtney Wille and Chelsea Pyle and Habib Rahbar and Su Kim Hsieh and Travis L. Rice-Stitt and Suzanne M. Dintzis and Amani Bashir and Evthokia Hobbs and Alexandra Zimmer and Jennifer M. Specht and Sneha Phadke and Nicole Fleege and James H. Holmes and Savannah C. Partridge and Wei Huang},
  year = {2024},
  journal = {Frontiers in Oncology},
  doi = {10.3389/fonc.2024.1395502},
  url = {https://doi.org/10.3389/fonc.2024.1395502}
}

RIS

TY  - JOUR
TI  - Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting
AU  - Brendan Moloney
AU  - Xin Li
AU  - Michael Hirano
AU  - Assim Saad Eddin
AU  - Jeong Youn Lim
AU  - Debosmita Biswas
AU  - Anum S. Kazerouni
AU  - Alina Tudorica
AU  - Isabella Li
AU  - Mary Lynn Bryant
AU  - Courtney Wille
AU  - Chelsea Pyle
AU  - Habib Rahbar
AU  - Su Kim Hsieh
AU  - Travis L. Rice-Stitt
AU  - Suzanne M. Dintzis
AU  - Amani Bashir
AU  - Evthokia Hobbs
AU  - Alexandra Zimmer
AU  - Jennifer M. Specht
AU  - Sneha Phadke
AU  - Nicole Fleege
AU  - James H. Holmes
AU  - Savannah C. Partridge
AU  - Wei Huang
PY  - 2024
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2024.1395502
UR  - https://doi.org/10.3389/fonc.2024.1395502
ER  -

APA

Moloney, B., Li, X., Hirano, M., Eddin, A. S., Lim, J. Y., Biswas, D., Kazerouni, A. S., Tudorica, A., Li, I., Bryant, M. L., Wille, C., Pyle, C., Rahbar, H., Hsieh, S. K., Rice-Stitt, T. L., Dintzis, S. M., Bashir, A., Hobbs, E., Zimmer, A., Specht, J. M., Phadke, S., Fleege, N., Holmes, J. H., Partridge, S. C., & Huang, W. (2024). Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting. Frontiers in Oncology. https://doi.org/10.3389/fonc.2024.1395502

Source records

crossref · retrieved 2026-11-10T13:50:24.612Z