Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning-Reference-Cited by-同舟云学术

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Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning

Published:2018-11-12 Issue:5 Volume:81 Page:3304-3313
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Chen Vincent Chin-Hung¹²,Lin Tung-Yeh³,Yeh Dah-Cherng⁴,Chai Jyh-Wen⁵⁶,Weng Jun-Cheng²³

Affiliation:

1. School of Medicine; Chang Gung University; Taoyuan Taiwan

2. Department of Psychiatry; Chang Gung Memorial Hospital; Chiayi Taiwan

3. Department of Medical Imaging and Radiological Sciences; Chang Gung University; Taoyuan Taiwan

4. Breast Medical Center; Cheng Ching Hospital Chung Kang Branch; Taichung Taiwan

5. Department of Radiology; Taichung Veterans General Hospital; Taichung Taiwan

6. College of Medicine; China Medical University; Taichung Taiwan

Funder

Basic Research Programs of Sichuan Province

Ministry of Science and Technology, Taiwan

Chang Gung University

Chang Gung Memorial Hospital

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.27607/fullpdf

Reference35 articles.

1. Chemotherapy and cognitive function in breast cancer patients: the so-called chemo brain;Hermelink;J Natl Cancer Inst Monogr,2015

2. Yes, Virginia, chemo brain is real;Hislop;Clin Breast Cancer,2015

3. Evaluation of quality of life in women with breast cancer, with particular emphasis on sexual satisfaction, future perspectives and body image, depending on the method of surgery;Slowik;Psychiatr Pol,2017

4. Functional connectivity change of brain default mode network in breast cancer patients after chemotherapy;Miao;Neuroradiology,2016

5. Default mode network connectivity distinguishes chemotherapy-treated breast cancer survivors from controls;Kesler;Proc Natl Acad Sci U S A,2013

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1. Prediction of uterine fibroid outcomes based on DenseNet and multiple MRI sequences;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

2. Diagnostic Accuracy of Machine-Learning Models on Predicting Chemo-Brain in Breast Cancer Survivors Previously Treated with Chemotherapy: A Meta-Analysis;International Journal of Environmental Research and Public Health;2022-12-15

3. Chemotherapy in patients with early breast cancer: clinical overview and management of long-term side effects;Expert Opinion on Drug Safety;2022-11-02

4. Evaluation of the Effects of R-CHOP Chemotherapy on Brain Glucose Metabolism in Patients with Diffuse Large B Cell Lymphoma: A Baseline, Interim, and End-of-Treatment PET/CT Study;Tomography;2022-10-12

5. Neuroimaging advances in chemotherapy-related cognitive impairment: from clinical to preclinical research;Chinese Journal of Academic Radiology;2022-05-30

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