This application is in response to RFA 86-CA-10, National Collaborative Imaging Trails Project. We have organized a group of institutions to form the Radiologic Diagnostic Oncology Group (RDOG). The collaborative group will be designed to provide a means whereby efficacy studies on and diagnostic imaging tests can be instituted in a timely fashion and whereby data can be analyzed in a accurate manner. Under the auspices of an operations center and statistical and data management group, we will establish an ongoing mechanism to: optimize image quality across all participating sites; obtain consistent and complete data across participating sites; create an imaging library to allow derivative studies in subsequent years; and analyze imaging data for clinical effectiveness and potential algorithm development using appropriate analytic techniques. The techniques employed for analysis will be state-of-the-art involving receiver operating characteristic curve analysis; special care will be taken to ensure correction for a number of biases that might preclude accurate data analyses. The application addresses the staging of both lung and prostate cancer. The absolute value of plain radiographs, CT, and MRI in the staging of patients with non-small-cell bronchogenic carcinoma will be determined; the incremental value of MRI over CT will also be assessed. For staging prostate cancer the accuracy of MRI and transrectal sonography will be determined in both absolute and incremental ways.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA045256-04
Application #
3548996
Study Section
Special Emphasis Panel (SRC (40))
Project Start
1987-09-04
Project End
1993-07-31
Budget Start
1990-09-01
Budget End
1993-07-31
Support Year
4
Fiscal Year
1990
Total Cost
Indirect Cost
Name
American College of Radiology
Department
Type
DUNS #
City
Philadelphia
State
VA
Country
United States
Zip Code
O'Malley, A James; Zou, Kelly H (2006) Bayesian multivariate hierarchical transformation models for ROC analysis. Stat Med 25:459-79
Omalley, A J; Zou, K H; Fielding, J R et al. (2001) Bayesian regression methodology for estimating a receiver operating characteristic curve with two radiologic applications: prostate biopsy and spiral CT of ureteral stones. Acad Radiol 8:713-25
Zhou, X H; Gatsonis, C A (1996) A simple method for comparing correlated ROC curves using incomplete data. Stat Med 15:1687-93
Tempany, C M; Zhou, X; Zerhouni, E A et al. (1994) Staging of prostate cancer: results of Radiology Diagnostic Oncology Group project comparison of three MR imaging techniques. Radiology 192:47-54
Zhou, X H (1994) Effect of verification bias on positive and negative predictive values. Stat Med 13:1737-45
Cavallo, A; Zhou, X H (1994) LHRH test in the assessment of puberty in normal children. Horm Res 41:10-5
Ellis, J H; Tempany, C; Sarin, M S et al. (1994) MR imaging and sonography of early prostatic cancer: pathologic and imaging features that influence identification and diagnosis. AJR Am J Roentgenol 162:865-72
Rahmouni, A; Yang, A; Tempany, C M et al. (1992) Accuracy of in-vivo assessment of prostatic volume by MRI and transrectal ultrasonography. J Comput Assist Tomogr 16:935-40
Schiebler, M L; Yankaskas, B C; Tempany, C et al. (1992) MR imaging in adenocarcinoma of the prostate: interobserver variation and efficacy for determining stage C disease. AJR Am J Roentgenol 158:559-62;discussion 563-4
Schiebler, M L; Yankaskas, B C; Tempany, C et al. (1992) Efficacy of prostate-specific antigen and magnetic resonance imaging in staging stage C adenocarcinoma of the prostate. Invest Radiol 27:575-7

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