Mechanistic modelling of dynamic MRI data predicts that tumour heterogeneity decreases therapeutic response
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
Link
http://www.nature.com/articles/6605773.pdf
Reference52 articles.
1. Adam JA, Maggelakis SA (1990) Diffusion regulated growth characteristics of a spherical prevascular carcinoma. Bull Math Biol 52 (4): 549–582
2. Ah-See ML, Makris A, Taylor NJ, Harrison M, Richman PI, Burcombe RJ, Stirling JJ, d’Arcy JA, Collins DJ, Pittam MR, Ravichandran D, Padhani AR (2008) Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin Cancer Res 14 (20): 6580–6589
3. Araujo RP, McElwain DL (2004) A history of the study of solid tumour growth: the contribution of mathematical modelling. Bull Math Biol 66 (5): 1039–1091
4. Bertuzzi A, D’Onofrio A, Fasano A, Gandolfi A (2003) Regression and regrowth of tumour cords following single-dose anticancer treatment. Bull Math Biol 65 (5): 903–931
5. Buckley DL, Roberts C, Parker GJ, Logue JP, Hutchinson CE (2004) Prostate cancer: evaluation of vascular characteristics with dynamic contrast-enhanced T1-weighted MR imaging – initial experience. Radiology 233 (3): 709–715
Cited by 24 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. Mathematical Oncology to Cancer Systems Medicine: Translation from Academic Pursuit to Individualized Therapy with MORA;Current Cancer Therapy Reviews;2023-02
2. Liquid biopsies for early diagnosis of brain tumours: in silico mathematical biomarker modelling;Journal of The Royal Society Interface;2022-08
3. Efficient DCE-MRI Parameter and Uncertainty Estimation Using a Neural Network;IEEE Transactions on Medical Imaging;2020-05
4. Whole solid tumor volume histogram parameters for predicting the recurrence in patients with epithelial ovarian carcinoma: a feasibility study on quantitative DCE-MRI;Acta Radiologica;2020-01-19
5. Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer;Translational Oncology;2018-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3