Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

We developed 3D deep learning models based on pretreatment data that could predict pCR to NAST in TNBC patients.

Authors

Institutions

Publication Details

Journal
Cancers
Published
2025-03-13
DOI
https://doi.org/10.3390/cancers17060966
Citations
7
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
9.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

Lei Huo, Gary J. Whitman, Gaiane M. Rauch, Anil Korkut et al.
7 citations
Cancers
Radiomics and Machine Learning in Medical Imaging
9.52
article

Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

Lei Huo, Gary J. Whitman, Gaiane M. Rauch, Anil Korkut, Jennifer K. Litton, Kelly K. Hunt, Zijian Zhou, Alastair Mark Thompson, Rania M. Mohamed, Jessica W. T. Leung, Miral Patel, Deanna L. Lane, Bikash Panthi, Jong Bum Son, Mary S. Guirguis, Clinton Yam, Rosalind P. Candelaria, Peng Wei, Tanya W. Moseley, Beatriz E. Adrada, Zhan Xu, Huong T. Le‐Petross, Vicente Valero, Wei Yang, Haonan Feng, Jingfei Ma, Huiqin Chen, Debu Tripathy
article en
7 citations

Abstract

We developed 3D deep learning models based on pretreatment data that could predict pCR to NAST in TNBC patients.

CancersVol. 17(6)
The University of Texas MD Anderson Cancer Center (US), Baylor College of Medicine (US)
Good health and well-being
Openalex Percentile: Top 2%
Radiomics and Machine Learning in Medical Imaging
9.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.