Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network [0.03%]
基于卷积神经网络的分子乳腺成像背景间质摄取分类
Rickey E Carter,Zachi I Attia,Jennifer R Geske et al.
Rickey E Carter et al.
Purpose: Background parenchymal uptake (BPU), which describes the level of radiotracer uptake in normal fibroglandular tissue on molecular breast imaging (MBI), has been identified as a breast cancer risk factor. Our obje...
Kelvin K Pho,Rong Lu,Samantha Gates et al.
Kelvin K Pho et al.
Purpose: Mobile devices provide individuals with rapid and frequent access to electronic patient portals. We investigated how oncology patients use this technology to review test results and communicate with providers. ...
Quantifying Uncertainty and Robustness in a Biomathematical Model-Based Patient-Specific Response Metric for Glioblastoma [0.03%]
定量测量胶质母细胞瘤患者特异性反应指标中的不确定性与稳健性（生物数学模型法）
Andrea Hawkins-Daarud,Sandra K Johnston,Kristin R Swanson
Andrea Hawkins-Daarud
Purpose: Glioblastomas, lethal primary brain tumors, are known for their heterogeneity and invasiveness. A growing body of literature has been developed demonstrating the clinical relevance of a biomathematical model, the...
Glioblastoma Recurrence and the Role of O6-Methylguanine-DNA Methyltransferase Promoter Methylation [0.03%]
胶质母细胞瘤复发及O6-甲基鸟嘌呤-DNA甲基转移酶启动子甲基化的作用
Katie Storey,Kevin Leder,Andrea Hawkins-Daarud et al.
Katie Storey et al.
Tumor recurrence in glioblastoma multiforme (GBM) is often attributed to acquired resistance to the standard chemotherapeutic agent, temozolomide (TMZ). Promoter methylation of the DNA repair gene MGMT (O6-methylguanine-DNA methyltransferas...
Blackboard to Bedside: A Mathematical Modeling Bottom-Up Approach Toward Personalized Cancer Treatments [0.03%]
从黑板到病床：个性化癌症治疗的数学模型自下而上方法
Sara Hamis,Gibin G Powathil,Mark A J Chaplain
Sara Hamis
Cancers present with high variability across patients and tumors; thus, cancer care, in terms of disease prevention, detection, and control, can highly benefit from a personalized approach. For a comprehensive personalized oncology practice...
The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory [0.03%]
博弈论引导下的免疫检查点 kick start：新辅助联合治疗的优化
Jeffrey West,Mark Robertson-Tessi,Kimberly Luddy et al.
Jeffrey West et al.
Purpose: In an upcoming clinical trial at the Moffitt Cancer Center for women with stage 2/3 estrogen receptor-positive breast cancer, treatment with an aromatase inhibitor and a PD-L1 checkpoint inhibitor combination wil...
Seán Walsh,Evelyn E C de Jong,Janna E van Timmeren et al.
Seán Walsh et al.
Precision medicine is the future of health care: please watch the animation at https://vimeo.com/241154708 . As a technology-intensive and -dependent medical discipline, oncology will be at the vanguard of this impending change. However, to...
Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive [0.03%]
头颈部鳞状细胞癌的影像基因组研究：通过整合癌症基因组图谱和癌症影像档案将放射组学表型与基因组机制相关联
Yitan Zhu,Abdallah S R Mohamed,Stephen Y Lai et al.
Yitan Zhu et al.
Purpose: Recent data suggest that imaging radiomic features of a tumor could be indicative of important genomic biomarkers. Understanding the relationship between radiomic and genomic features is important for basic cance...
Prioritization of Patient-Reported Outcomes by Women With Metastatic Breast Cancer [0.03%]
转移性乳腺癌患者的患者报告结果优先级调查研究
Sarah S Mougalian,Jenerius A Aminawung,Carolyn J Presley et al.
Sarah S Mougalian et al.
Paul Martin Putora
Paul Martin Putora