This proposal responds to RFA-CA-07-505 """"""""The American College of Radiology Imaging Network"""""""" and addresses the needs of ACRIN's Biostatistics and Data Management Center (BDMC). This proposal is submitted in coordination with a proposal from the Headquarters of ACRIN. Should the funding be awarded, the BDMC of ACRIN will continue to be operated jointly by the Center for Statistical Sciences, Brown University and the American College of Radiology. The main responsibility for data collection and management is with the Philadelphia office of the ACR. The overall direction of the BDMC and the main responsibility for study design, monitoring, and data analysis, is with Brown. Key aspects of the BDMC operation will be the following: 1. To provide support and methodologic leadership to ACRIN investigators in the design, development and implementation of network studies. 2. To work with protocol teams on the design and implementation of data collection forms and procedures. 3. To carry out protocol data collection and to develop and maintain a primary database at the Data Management Center and to ensure efficient and accurate access to the database by Biostatistics Center personnel for study monitoring and analysis. 4. To continually monitor and verify the quality of the data, including checks of accuracy, completeness, and timeliness. To implement procedures designed to guarantee the integrity of the database. 5. To continually monitor and verify protocol compliance and to support participating sites in achieving high standards of performance. To provide methodologic expertise for site audits. 6. To design and perform interim and final analyses and to generate relevant reports. To provide methodologic leadership and support in summarizing study findings and preparing manuscripts. 7. To address methodologic issues arising in the design and analysis of ACRIN studies and to carry out research on statistical methods for the evaluation of diagnostic imaging. 8. To work with investigators and research entities requesting access to ACRIN data and to facilitate the maximum, proper use of scientific information from ACRIN studies. To collaborate in the development of common data elements for imaging clinical studies. 9. To operate and further develop a reliable, nimble, and effective organization, with clearly defined roles and objectives, a well articulated set of Standard Operating Procedures and federal regulation compliance concerning data confidentiality and human subject protection. 10. To organize, facilitate and support outcomes and economics research in ACRIN studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01CA079778-11S2
Application #
7896184
Study Section
Special Emphasis Panel (ZCA1-SRRB-9 (O1))
Program Officer
Henderson, Lori A
Project Start
1999-03-01
Project End
2013-06-30
Budget Start
2009-07-01
Budget End
2013-06-30
Support Year
11
Fiscal Year
2009
Total Cost
$1,095,375
Indirect Cost
Name
Brown University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
Partridge, Savannah C; Zhang, Zheng; Newitt, David C et al. (2018) Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial. Radiology 289:618-627
Kaufman, Annette R; Dwyer, Laura A; Land, Stephanie R et al. (2018) Smoking-related health beliefs and smoking behavior in the National Lung Screening Trial. Addict Behav 84:27-32
Cochran, Jeffrey M; Busch, David R; Leproux, Anaïs et al. (2018) Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment. J Biomed Opt 24:1-11
Hopkins, Raewyn J; Duan, Fenghai; Chiles, Caroline et al. (2017) Reduced Expiratory Flow Rate among Heavy Smokers Increases Lung Cancer Risk. Results from the National Lung Screening Trial-American College of Radiology Imaging Network Cohort. Ann Am Thorac Soc 14:392-402
Ng, Chaan S; Zhang, Zheng; Lee, Susanna I et al. (2017) CT Perfusion as an Early Biomarker of Treatment Efficacy in Advanced Ovarian Cancer: An ACRIN and GOG Study. Clin Cancer Res 23:3684-3691
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A et al. (2017) MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial. J Magn Reson Imaging 46:290-302
Hofheinz, Frank; Apostolova, Ivayla; Oehme, Liane et al. (2017) Test-Retest Variability in Lesion SUV and Lesion SUR in 18F-FDG PET: An Analysis of Data from Two Prospective Multicenter Trials. J Nucl Med 58:1770-1775
Aide, Nicolas; Lasnon, Charline; Veit-Haibach, Patrick et al. (2017) EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies. Eur J Nucl Med Mol Imaging 44:17-31
Gu, Fangyi; Cheung, Li C; Freedman, Neal D et al. (2017) Potential Impact of Including Time to First Cigarette in Risk Models for Selecting Ever-Smokers for Lung Cancer Screening. J Thorac Oncol 12:1646-1653
Campbell, Jeffrey I; Yau, Christina; Krass, Polina et al. (2017) Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657). Breast Cancer Res Treat 165:181-191

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