Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer-Reference-Cited by-同舟云学术

Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancer

Published:2020-10-20 Issue:42 Volume:11 Page:3782-3792
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Dasgupta Archya¹²³,Brade Stephen¹,Sannachi Lakshmanan¹²³,Quiaoit Karina¹²³,Fatima Kashuf¹²³,DiCenzo Daniel¹²³,Osapoetra Laurentius O.¹²³,Saifuddin Murtuza¹²³,Trudeau Maureen⁴⁵,Gandhi Sonal⁴⁵,Eisen Andrea⁴⁵,Wright Frances⁶⁷,Look-Hong Nicole⁶⁷,Sadeghi-Naini Ali¹³⁸⁹,Tran William T.¹²¹⁰,Curpen Belinda¹¹¹²,Czarnota Gregory J.¹²³⁸⁹

Affiliation:

1. Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada

2. Department of Radiation Oncology, University of Toronto, Toronto, Canada

3. Physical Sciences, Sunnybrook Research Institute, Toronto, Canada

4. Department of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada

5. Department of Medicine, University of Toronto, Toronto, Canada

6. Department of Surgical Oncology, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Canada

7. Department of Surgery, University of Toronto, Toronto, Canada

8. Department of Medical Biophysics, University of Toronto, Toronto, Canada

9. Department of Electrical Engineering and Computer Sciences, Lassonde School of Engineering, York University, Toronto, Canada

10. Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Canada

11. Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada

12. Department of Medical Imaging, University of Toronto, Toronto, Canada

Publisher

Impact Journals, LLC

Subject

Oncology

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1. A priori prediction of breast cancer response to neoadjuvant chemotherapy using quantitative ultrasound, texture derivative and molecular subtype;Scientific Reports;2023-12-19

2. Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review;Cancers;2023-11-04

3. On the assessment of local tumor response to neoadjuvant chemotherapy;2023 IEEE International Ultrasonics Symposium (IUS);2023-09-03

4. A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images;Journal of Digital Imaging;2023-05-30

5. A Priori Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy using Quantitative Ultrasound, Texture Derivative and Molecular Subtype;2023-04-21