UNMC
Eppley Cancer Center: Collaborative Cancer Registries |
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| Breast Cancer Collaborative Registry (BCCR) | BCCR is aimed at the collection and analysis of a variety of data in the ever-growing population of breast cancer (BC) screening participants, BC patients, BC survivors, and individuals at high risk of developing BC or who have a family member with BC. | ||
| PCCR is designed to unite centers with expertise in pancreatic cancer epidemiology, genetics, biology, early detection and patient care to facilitate rapid and uniform collection of critical information and biological samples to be used in developing prevention and treatment strategies against pancreatic cancer. | |||
| Thyroid Cancer Collaborative Registry (TCCR) | The TCCR is aimed at the collection and analysis of a variety of data in individuals with a history of thyroid nodules or thyroid cancer. Because there is limited data regarding risk factors for thyroid nodules and thyroid cancer, we aim to gather survey information and biological material including blood, urine, and tissue for further analysis. Any person with a diagnosis of a thyroid nodule (whether surgically removed or not) or persons with a diagnosis of thyroid cancer are eligible for the study. | ||
| Great Plains Health Informatics Database (GPHID) | The purpose of this study is to establish a database which will collect demographic information, medical and family details as well as, dietary and environmental exposure history and to develop a blood, urine and tissue bank on willing subjects who live in the Midwest. | ||
| Lung Cancer Screening Program: Nebraska Early Detection - Information Technology Project (NEED-IT) |
The objective is to assess the feasibility of establishing a lung cancer screening program using computerized tomography (CT) scanning in normal subjects with a history of cigarette smoking. | ||
| Neuroendocrine Tumor Registry (NETR) | The purpose of the NETR is to allow researchers from multiple centers to collect a variety of data on neuroendocrine cancer patients and high-risk subjects in a standardized, user-friendly, and secure way. | ||
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(c) 2001-2012 UNMC Biomedical Informatics Facility |
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