Alex C Cheng,Mia A Levy
Alex C Cheng
Purpose: Patients with breast cancer spend a large amount of time and effort receiving treatment. When the number of health care tasks exceeds a patient's ability to manage that workload, they could become overburdened, l...
Identifying Cancer-Directed Surgeries in Medicare Claims: A Validation Study Using SEER-Medicare Data [0.03%]
利用SEER-Medicare数据进行验证的医疗保险索赔癌症定向手术识别研究
Jessica A Lavery,Allison Lipitz-Snyderman,Diane G Li et al.
Jessica A Lavery et al.
Purpose: Medicare claims provide a rich data source for large-scale quality assessment because data are available for all beneficiaries nationally. For cancer surgery, the absence of information regarding site of cancer a...
John Metzcar,Yafei Wang,Randy Heiland et al.
John Metzcar et al.
Cancer biology involves complex, dynamic interactions between cancer cells and their tissue microenvironments. Single-cell effects are critical drivers of clinical progression. Chemical and mechanical communication between tumor and stromal...
Understanding the Dynamics of T-Cell Activation in Health and Disease Through the Lens of Computational Modeling [0.03%]
基于计算模型理解T细胞在健康和疾病状态下的激活动力学
Jennifer A Rohrs,Pin Wang,Stacey D Finley
Jennifer A Rohrs
T cells in the immune system are activated by binding to foreign peptides (from an external pathogen) or mutant peptide (derived from endogenous proteins) displayed on the surface of a diseased cell. This triggers a series of intracellular ...
Comparing Glioblastoma Surgery Decisions Between Teams Using Brain Maps of Tumor Locations, Biopsies, and Resections [0.03%]
基于肿瘤位置、活检和切除范围的脑图比较胶质母细胞瘤手术决策团队之间的差异
Domenique M J Müller,Pierre A J T Robe,Roelant S Eijgelaar et al.
Domenique M J Müller et al.
Purpose: The aim of glioblastoma surgery is to maximize the extent of resection while preserving functional integrity, which depends on the location within the brain. A standard to compare these decisions is lacking. We p...
Impact of Variability in Portal Venous Phase Acquisition Timing in Tumor Density Measurement and Treatment Response Assessment: Metastatic Colorectal Cancer as a Paradigm [0.03%]
肝门静脉期扫描时间变异对肿瘤密度测量和治疗反应评价的影响——转移性结直肠癌为例证
Laurent Dercle,Lin Lu,Philip Lichtenstein et al.
Laurent Dercle et al.
Purpose: New response patterns to anticancer drugs have led tumor size-based response criteria to shift to also include density measurements. Choi criteria, for instance, categorize antiangiogenic therapy response as a de...
Prescribing an App? Oncology Providers' Views on Mobile Health Apps for Cancer Care [0.03%]
移动健康应用程序在癌症治疗中的作用——肿瘤医生怎么看？
Callie M Berkowitz,Leah L Zullig,Bridget F Koontz et al.
Callie M Berkowitz et al.
Introduction: Although there are over 500 mobile health (mHealth) applications (apps) available for download in the field of oncology, little research has addressed their acceptability among health care providers. In addi...
Web-Based Tool to Facilitate Shared Decision Making With Regard to Neoadjuvant Chemotherapy Use in Muscle-Invasive Bladder Cancer [0.03%]
一种基于网络的工具，可促进关于肌层浸润性膀胱癌新辅助化疗使用的共同决策
Matthew D Galsky,Michael Diefenbach,Nihal Mohamed et al.
Matthew D Galsky et al.
Purpose: Level 1 evidence supports the use of neoadjuvant chemotherapy (NAC) for the treatment of muscle-invasive bladder cancer (MIBC), but observational data demonstrate that this approach is underused. A barrier to sha...
History of Diabetes and Survival Outcome Among Participants 65 Years or Older in SWOG Clinical Trials [0.03%]
SWOG临床试验中65岁及以上患者糖尿病史与预后的关系
Dawn L Hershman,Cathee Till,Jason D Wright et al.
Dawn L Hershman et al.
Purpose: Diabetes is common, increases with age, and may affect outcomes among people with cancer. Understanding the association between diabetes and cancer outcome is challenging, because patients with diabetes have incr...
Overcoming the Straw Man Effect in Oncology: Visualization and Ranking of Chemotherapy Regimens Using an Information Theoretic Approach [0.03%]
用信息理论方法克服肿瘤学中的稻草人效应：使用信息理论方法可视化和排序化学疗法方案
Jeremy L Warner,Peter C Yang,Gil Alterovitz
Jeremy L Warner
Purpose: Despite the plethora of randomized controlled trial (RCT) data, most cancer treatment recommendations are formulated by experts. Alternatively, network meta-analysis (NMA) is one method of analyzing multiple indi...
Meta-Analysis
JCO clinical cancer informatics. 2017 Nov:1:1-9. DOI:10.1200/CCI.17.00079 2017