Radiomics nomogram based on ultrafast DCE-MRI and DWI: preoperative evaluation of axillary lymph node status in invasive breast cancer

Motivation: Accurately evaluating the ALN status is pivotal for both prognosis and treatment planning, especially in the context of decreasing axillary surgery. Goal(s): This retrospective study aimed to develop a radiomics nomogram for preoperative prediction of ALN status in clinical T1-2 stage invasive breast cancer patients. Approach: Radiomics features were extracted from ultrafast DCE-MRI and DWI, and clinical characteristics were incorporated to construct a radiomics nomogram. Results: A radiomics signature achieved AUCs of 0.831 and 0.821 in training and validation cohorts, respectively. The radiomics nomogram, incorporating this signature, multifocality, and MRI-reported ALN status, showed superior performance with AUCs of 0.890 and 0.905. Impact: The proposed nomogram could be valuable for noninvasively assessing ALN status, aiding prognosis and treatment planning while reducing the need for axillary surgery in breast cancer patients.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4612
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiomics nomogram based on ultrafast DCE-MRI and DWI: preoperative evaluation of axillary lymph node status in invasive breast cancer

Zheting Yang, Fang Zeng, Pu‐Yeh Wu, Lin Lin et al.
1 links
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Radiomics nomogram based on ultrafast DCE-MRI and DWI: preoperative evaluation of axillary lymph node status in invasive breast cancer

Zheting Yang, Fang Zeng, Pu‐Yeh Wu, Lin Lin, Xiaoxue Tang, Yunjing Xue
article en

Abstract

Motivation: Accurately evaluating the ALN status is pivotal for both prognosis and treatment planning, especially in the context of decreasing axillary surgery. Goal(s): This retrospective study aimed to develop a radiomics nomogram for preoperative prediction of ALN status in clinical T1-2 stage invasive breast cancer patients. Approach: Radiomics features were extracted from ultrafast DCE-MRI and DWI, and clinical characteristics were incorporated to construct a radiomics nomogram. Results: A radiomics signature achieved AUCs of 0.831 and 0.821 in training and validation cohorts, respectively. The radiomics nomogram, incorporating this signature, multifocality, and MRI-reported ALN status, showed superior performance with AUCs of 0.890 and 0.905. Impact: The proposed nomogram could be valuable for noninvasively assessing ALN status, aiding prognosis and treatment planning while reducing the need for axillary surgery in breast cancer patients.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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.

Radiomics nomogram based on ultrafast DCE-MRI and DWI: preoperative evaluation of axillary lymph node status in invasive breast cancer — Zheting Yang, Fang Zeng, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS