Differentiation between invasive ductal carcinoma and ductal carcinoma in situ by combining intratumoral and peritumoral ultrasound radiomics

The ultrasound-based radiomics model that combined intratumoral and peritumoral features exhibits good ability to distinguish between IDC and DCIS. The selection of peritumoral range size exerts an important effect on the prediction performance of the radiomics model.

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Publication Details

Journal
BioMedical Engineering OnLine
Published
2024-11-21
DOI
https://doi.org/10.1186/s12938-024-01315-y
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.02

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article

Differentiation between invasive ductal carcinoma and ductal carcinoma in situ by combining intratumoral and peritumoral ultrasound radiomics

Liugang Gao, Jiawei Sun, Xinye Ni, Sai Zhang et al.
5 citations
BioMedical Engineering OnLine
Radiomics and Machine Learning in Medical Imaging
2.02
article

Differentiation between invasive ductal carcinoma and ductal carcinoma in situ by combining intratumoral and peritumoral ultrasound radiomics

Liugang Gao, Jiawei Sun, Xinye Ni, Sai Zhang, Heng Zhang, Ziyi Wang, Xiaoqin Li, Tong Zhao, Kai Xie, Nannan Cao, Jiangyi Ding
article en
5 citations

Abstract

The ultrasound-based radiomics model that combined intratumoral and peritumoral features exhibits good ability to distinguish between IDC and DCIS. The selection of peritumoral range size exerts an important effect on the prediction performance of the radiomics model.

BioMedical Engineering OnLineVol. 23(1)
Changzhou No.2 People's Hospital (CN), Changzhou University (CN), Nanjing Medical University (CN)
Jiangsu Commission of Health, National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Natural Science Research of Jiangsu Higher Education Institutions of China
Openalex Percentile: Top 13%
Radiomics and Machine Learning in Medical Imaging
2.02
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