MRI features of breastcancer: a correlation study with HER-2 receptor[J]. Ann Oncol,2007,18(11):1903-1904.Agrawal G, Chen JH, Baik HM, Hsiang D, Mehta RS, Nalcioglu O, Su MY. MR imaging features of breast cancer: a correlation study with HER-2 receptor. Ann. Oncol. 2007; 18(...
Women with invasive breast cancer and a contrast-enhanced breast MRI examination that was performe for initial evaluation of the extent of disease between January 2015 and December 2019 at a single academic institution were ret rospectively identified. A three-dimensional, fully convolutional deep neur...
Fig. 1. Overview of the study. In this work, we trained and evaluated a DL system based on deep neural networks that predict the probability of breast cancer in DCE-MRI examinations. Data collection and processing: To build the system, we collected 21,537 DCE-MRI imaging exams, consisting ...
Fig. 1. Overview of the study. In this work, we trained and evaluated a DL system based on deep neural networks that predict the probability of breast cancer in DCE-MRI examinations. Data collection and processing: To build the system, we collected 21,537 DCE-MRI imaging exams, consisting ...
breast MRI. 人们越来越感兴趣于非对比剂乳腺MRI替代方案,用于肿瘤可视化,以提高乳腺MRI的可及性。 Purpose: To evaluate the feasibility and accuracy of generating simulated contrast-enhanced T1-weighted breast MRI scans from precontrast MRI sequences in biopsy-proven invasive breast cancer with use of de...
Magnetic resonance imaging of breast cancer: Clinical indications and breast MRI reporting system Magnetic resonance imaging (MRI) is well suited to the investigation of breast cancer by virtue of its noninvasive nature and its multiplanar imaging abili... DM Ikeda,DR Baker,BL Daniel - 《Journal...
Molecular portraits of human breast tumours [J]. Nature, 2000,406(6797): 747-752. DOI: 10. 1038/35021093. [12] GOLDHIRSCH A, WOOD W C, COATES A S, et al. Strategies for subtypes: dealing with the diversity of breast cancer:highl...
[5]Subash A, Sinha P, Singh A. BRAF mutation and age in differentiated thyroid cancer risk stratification: two sides of the same coin[J]. Oral Oncol, 2020, 106: 104732. DOI: 10.1016/j.oraloncology.2020.104732. [6...
目的 基于MRI时空异质性构建影像组学模型以早期预测三阴性乳腺癌(triple-negativebreast cancer, TNBC)的病理完全缓解(pathologicalcomplete response, pCR)。 材料与方法 回顾性分析我院2017年9月至2022... 出版日期: 2024年01月 9.基于MRI与临床病理特征构建诺莫图预测乳腺癌新辅助治疗收缩模式 ...
While it is known that CE breast MRI is the most sensitive detection method for invasive breast cancer, there is discussion regarding the usefulness of finding additional disease in newly diagnosed breast cancer patients. Is the extent of disease important and in which patients is CE breast MRI ...