A growing understanding of the multiple genetic and environmental pathways that contribute to the development of cancer is leading to the concept of a personalized approach to cancer therapy and prevention. This requires techniques to characterize patient and tumor factors that will drive specific targeted interventions and measure their effectiveness. Biomedical imaging now offers the opportunity to characterize tumor anatomy, physiology, and molecular biology in unprecedented ways. The challenge is to harness this technology to develop quantitative approaches to diagnosis that will support the development and application of targeted treatments and preventive interventions. Since its inception, ACRIN has developed and implemented multicenter clinical trials to establish the effectiveness of imaging in the detection, characterization and monitoring of cancer. Working with its biostatistics center at Brown University, ACRIN has assembled a unique organization of hundreds of clinical imaging specialists, other clinicians, and non-physician researchers at more than a hundred institutions nationally and internationally working collaboratively with the broader cancer research community dedicated to cancer imaging research. Over the next grant cycle, ACRIN proposes 3 major scientific objective related to the theme of personalized cancer care: 1. targeted surveillance of at-risk populations;2.characterization of cancer in order to drive targeted therapy;and 3. development of imaging-based predictive and prognostic biomarkers of response to targeted treatment. Through its continued leadership in the imaging community, ACRIN will play a pivotal role in the advancement of cancer detection and therapy. ACRIN will work to discover ways for imaging to improve cancer care. This includes determining the optimal methods to detect cancer early in order to provide the best opportunity for cure, and establishing techniques to characterize cancer and its response to treatment in order to choose the most appropriate therapy.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Cooperative Clinical Research--Cooperative Agreements (U10)
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Special Emphasis Panel (ZCA1-SRRB-9 (O1))
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Henderson, Lori A
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American College of Radiology
United States
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Atri, Mostafa; Zhang, Zheng; Dehdashti, Farrokh et al. (2017) Utility of PET/CT to Evaluate Retroperitoneal Lymph Node Metastasis in High-Risk Endometrial Cancer: Results of ACRIN 6671/GOG 0233 Trial. Radiology 283:450-459
Salavati, Ali; Duan, Fenghai; Snyder, Bradley S et al. (2017) Optimal FDG PET/CT volumetric parameters for risk stratification in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial. Eur J Nucl Med Mol Imaging 44:1969-1983
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
Bittner, Daniel O; Mayrhofer, Thomas; Bamberg, Fabian et al. (2017) Impact of Coronary Calcification on Clinical Management in Patients With Acute Chest Pain. Circ Cardiovasc Imaging 10:
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
Atri, Mostafa; Zhang, Zheng; Dehdashti, Farrokh et al. (2016) Utility of PET-CT to evaluate retroperitoneal lymph node metastasis in advanced cervical cancer: Results of ACRIN6671/GOG0233 trial. Gynecol Oncol 142:413-9
Hylton, Nola M; Gatsonis, Constantine A; Rosen, Mark A et al. (2016) Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL. Radiology 279:44-55
Park, Elyse R; Gareen, Ilana F; Japuntich, Sandra et al. (2015) Primary Care Provider-Delivered Smoking Cessation Interventions and Smoking Cessation Among Participants in the National Lung Screening Trial. JAMA Intern Med 175:1509-16
Newitt, David C; Tan, Ek T; Wilmes, Lisa J et al. (2015) Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial. J Magn Reson Imaging 42:908-19
Magbanua, Mark Jesus M; Wolf, Denise M; Yau, Christina et al. (2015) Serial expression analysis of breast tumors during neoadjuvant chemotherapy reveals changes in cell cycle and immune pathways associated with recurrence and response. Breast Cancer Res 17:73

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