Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients-Reference-Cited by-同舟云学术

Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients

Published:2019-02 Issue:2 Volume:54 Page:110-117
ISSN:0020-9996
Container-title:Investigative Radiology
language:en
Short-container-title:Investigative Radiology

Author:

Tahmassebi Amirhessam,Wengert Georg J.,Helbich Thomas H.,Bago-Horvath Zsuzsanna,Alaei Sousan,Bartsch Rupert,Dubsky Peter,Baltzer Pascal,Clauser Paola,Kapetas Panagiotis,Morris Elizabeth A.,Meyer-Baese Anke,Pinker Katja

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference35 articles.

1. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis

2. Pathological Complete Response in Neoadjuvant Treatment of Breast Cancer

3. Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: Preliminary results

4. Current and Future Trends in Magnetic Resonance Imaging Assessments of the Response of Breast Tumors to Neoadjuvant Chemotherapy

5. Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer

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