Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging-Reference-Cited by-同舟云学术

Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging

Published:2020-12-10 Issue:1 Volume:48 Page:313-328
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Caballo Marco¹,Pangallo Domenico R.¹²,Sanderink Wendelien¹,Hernandez Andrew M.³,Lyu Su Hyun⁴,Molinari Filippo²,Boone John M.³⁴,Mann Ritse M.¹,Sechopoulos Ioannis¹⁵

Affiliation:

1. Department of Medical Imaging Radboud University Medical Center PO Box 9101 Nijmegen6500 HBThe Netherlands

2. Biolab Department of Electronics and Telecommunication Politecnico di Torino Torino10129Italy

3. Department of Radiology University of California Davis Sacramento CA95817USA

4. Department of Biomedical Engineering University of California Davis Sacramento CA95817USA

5. Dutch Expert Center for Screening (LRCB) PO Box 6873 Nijmegen6503 GJThe Netherlands

Funder

National Cancer Institute

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14610

Reference68 articles.

1. Radiomics: Images Are More than Pictures, They Are Data

2. Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

3. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts HJWL;Nat Commun,2014

4. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

5. Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Potential added value of computed tomography radiomics to multimodal prediction models for benign and malignant breast tumors;Translational Cancer Research;2024-01

2. Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis;Cureus;2023-11-18

3. Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study;La radiologia medica;2023-10-19

4. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study;European Radiology;2023-10-02

5. Diagnostic accuracy of cone-beam breast computed tomography and head-to-head comparison of digital mammography, magnetic resonance imaging and cone-beam breast computed tomography for breast cancer: a systematic review and meta-analysis;Gland Surgery;2023-10