A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI
Abstract With advances in neoadjuvant therapies for rectal cancer, accurately evaluating tumor regression and response is increasingly critical for enabling personalized follow-up, including non-operative management. Given the lack of reliable assessment methods, there is an opportunity to develop c...
Saved in:
| Main Authors: | Charlems Alvarez-Jimenez, Jacob T. Antunes, Thomas DeSilvio, Zhouping Wei, Marwa Ismail, Joseph E. Willis, Emily Steinhagen, Andrei Purysko, David Liska, Smitha Krishnamurthi, Marka Crittenden, Michael Gough, Kristina Young, Anant Madabhushi, Eduardo Romero, Pallavi Tiwari, Satish E. Viswanath |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-01007-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning for predicting earthquake magnitudes in the Central Himalaya
by: Ram Krishna Tiwari, et al.
Published: (2025-01-01) -
Multifractal Feature Descriptor for Histopathology
by: Chamidu Atupelage, et al.
Published: (2012-01-01) -
Stable descriptors in image recognition tasks
by: V. B. Melekhin, et al.
Published: (2020-10-01) -
Reactivity of Alkyldibenzothiophenes Using Theoretical Descriptors
by: Jose Luis Rivera, et al.
Published: (2014-01-01) -
On Stabilizability of Nonbilinear Perturbed Descriptor Systems
by: Ghazwa F. Abd
Published: (2023-01-01)