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Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI.
Published in:
Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-27518-2
By:
- Zhou, Zijian;
- Adrada, Beatriz E.;
- Candelaria, Rosalind P.;
- Elshafeey, Nabil A.;
- Boge, Medine;
- Mohamed, Rania M.;
- Pashapoor, Sanaz;
- Sun, Jia;
- Xu, Zhan;
- Panthi, Bikash;
- Son, Jong Bum;
- Guirguis, Mary S.;
- Patel, Miral M.;
- Whitman, Gary J.;
- Moseley, Tanya W.;
- Scoggins, Marion E.;
- White, Jason B.;
- Litton, Jennifer K.;
- Valero, Vicente;
- Hunt, Kelly K.
Publication type:
Article
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.
Published in:
Frontiers in Oncology, 2023, p. 1, doi. 10.3389/fonc.2023.1264259
By:
- Panthi, Bikash;
- Mohamed, Rania M.;
- Adrada, Beatriz E.;
- Boge, Medine;
- Candelaria, Rosalind P.;
- Huiqin Chen;
- Hunt, Kelly K.;
- Lei Huo;
- Ken-Pin Hwang;
- Korkut, Anil;
- Lane, Deanna L.;
- Le-Petross, Huong C.;
- Leung, Jessica W. T.;
- Litton, Jennifer K.;
- Pashapoor, Sanaz;
- Perez, Frances;
- Jong Bum Son;
- Jia Sun;
- Thompson, Alastair;
- Tripathy, Debu
Publication type:
Article
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.
Published in:
Frontiers in Oncology, 2023, p. 1, doi. 10.3389/fonc.2023.1264259
By:
- Panthi, Bikash;
- Mohamed, Rania M.;
- Adrada, Beatriz E.;
- Boge, Medine;
- Candelaria, Rosalind P.;
- Huiqin Chen;
- Hunt, Kelly K.;
- Lei Huo;
- Ken-Pin Hwang;
- Korkut, Anil;
- Lane, Deanna L.;
- Le-Petross, Huong C.;
- Leung, Jessica W. T.;
- Litton, Jennifer K.;
- Pashapoor, Sanaz;
- Perez, Frances;
- Jong Bum Son;
- Jia Sun;
- Thompson, Alastair;
- Tripathy, Debu
Publication type:
Article
Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.
Published in:
Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-66220-9
By:
- Mohamed, Rania M.;
- Panthi, Bikash;
- Adrada, Beatriz E.;
- Boge, Medine;
- Candelaria, Rosalind P.;
- Chen, Huiqin;
- Guirguis, Mary S.;
- Hunt, Kelly K.;
- Huo, Lei;
- Hwang, Ken-Pin;
- Korkut, Anil;
- Litton, Jennifer K.;
- Moseley, Tanya W.;
- Pashapoor, Sanaz;
- Patel, Miral M.;
- Reed, Brandy;
- Scoggins, Marion E.;
- Son, Jong Bum;
- Thompson, Alastair;
- Tripathy, Debu
Publication type:
Article
Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer.
Published in:
Cancers, 2023, v. 15, n. 19, p. 4829, doi. 10.3390/cancers15194829
By:
- Xu, Zhan;
- Rauch, David E.;
- Mohamed, Rania M.;
- Pashapoor, Sanaz;
- Zhou, Zijian;
- Panthi, Bikash;
- Son, Jong Bum;
- Hwang, Ken-Pin;
- Musall, Benjamin C.;
- Adrada, Beatriz E.;
- Candelaria, Rosalind P.;
- Leung, Jessica W. T.;
- Le-Petross, Huong T. C.;
- Lane, Deanna L.;
- Perez, Frances;
- White, Jason;
- Clayborn, Alyson;
- Reed, Brandy;
- Chen, Huiqin;
- Sun, Jia
Publication type:
Article
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.
Published in:
Cancers, 2023, v. 15, n. 4, p. 1025, doi. 10.3390/cancers15041025
By:
- Panthi, Bikash;
- Adrada, Beatriz E.;
- Candelaria, Rosalind P.;
- Guirguis, Mary S.;
- Yam, Clinton;
- Boge, Medine;
- Chen, Huiqin;
- Hunt, Kelly K.;
- Huo, Lei;
- Hwang, Ken-Pin;
- Korkut, Anil;
- Lane, Deanna L.;
- Le-Petross, Huong C.;
- Leung, Jessica W. T.;
- Litton, Jennifer K.;
- Mohamed, Rania M.;
- Musall, Benjamin C.;
- Pashapoor, Sanaz;
- Patel, Miral M.;
- Perez, Frances
Publication type:
Article

Found: 6

Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI.

Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.

Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.

Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer.

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer.

Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.