Development of a Queriable Database for Oncology Outcome Analysis

Autor: Keith S. White, Nancy Rosen, Gregory Reaman, Kathleen M. McCarten, Stephan D. Voss, Walter Bosch, Eliot L. Siegel, Mitchell D. Schnall, Richard S. Pieters, Maryann Bishop-Jodoin, Heidi Nelson, David M. Ota, Lawrence H. Schwartz, Laurence H. Baker, Joseph Deasy, Matthew Parliament, James A. Purdy, M. Giulia Cicchetti, Joel H. Saltz, Thomas J. Fitzgerald, Richard Hanusik, Robert L. Comis, Kenneth Ulin, Larry E. Kun, Sandy Kessel, Jeff Yorty, Marcia Urie, Fran Laurie, Geoffrey S. Ibbott, Uma Ramamurthy, Ashish Sharma, Michael V. Knopp, Richard L. Schilsky, John W. Matthews, James M. Boyett
Rok vydání: 2008
Předmět:
Zdroj: Cured II ■ LENT Cancer Survivorship Research and Education ISBN: 9783540762706
DOI: 10.1007/978-3-540-76271-3_6
Popis: Clinical trials and oncology data management have undergone considerable change in the past decade. Imaging has become a key tool for clinical trials management and a biomarker for clinical trial validation as imaging technologies improve and become more precise. Images have become extremely helpful in determining staging/eligibility, treatment response, and outcome determination including disease recurrence and progression. In modern protocols, images are often reviewed in real time to validate these points in order to improve compliance to study requirements and create uniform patient populations for clinical trials analysis. Data acquisition and management systems are currently in use to acquire and display images in electronic digital formats for view by both on site and off site radiology reviewers. As clinical trials become more global in focus, the ability for databases to accommodate diverse imaging acquisition strategies will become increasingly important for information review.
Databáze: OpenAIRE