Literature DB >> 15914473

Imaging and cancer: research strategy of the American College of Radiology Imaging Network.

Denise R Aberle1, Caroline Chiles, Constanine Gatsonis, Bruce J Hillman, C Daniel Johnson, Bruce L McClennan, Donald G Mitchell, Etta D Pisano, Mitchell D Schnall, A Gregory Sorensen.   

Abstract

The American College of Radiology Imaging Network (ACRIN) is a cooperative group funded by the National Cancer Institute and dedicated to developing and conducting clinical trials of diagnostic imaging and image-guided treatment technologies. ACRIN's six disease site committees are responsible for developing scientific strategies and resultant trials within the framework of ACRIN's five key hypotheses: (a) Screening and early detection with imaging can reduce cancer-specific mortality. (b) Less invasive image-guided therapeutic methods can reduce the mortality and morbidity associated with treating cancer. (c) Molecular-based physiologic and functional imaging can improve the diagnosis and staging of cancer, thus improving treatment. (d) Functional imaging can portray the effectiveness of treatment earlier and more accurately, thus reducing mortality and improving the likelihood of a cure. (e) Informatics and other "smart systems" can improve the evaluation of patients with cancer, thus leading to better and more effective treatments. This article details ACRIN's research strategy according to disease site through the year 2007. Copyright RSNA, 2005.

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Mesh:

Year:  2005        PMID: 15914473     DOI: 10.1148/radiol.2353041760

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  15 in total

1.  Combined radiology residency/PhD program for education of academic radiologists: a response to revitalizing the radiology research enterprise.

Authors:  Andrés Rahal; Hayden W Head; Adam J Jung; Xavier Garcia-Rojas; Daniel Vargas; Neal C Dalrymple; Geoffrey D Clarke; Gerald D Dodd; Gary D Fullerton
Journal:  Radiology       Date:  2007-10       Impact factor: 11.105

Review 2.  Tomosynthesis imaging: at a translational crossroads.

Authors:  James T Dobbins
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

3.  Value of diffusion-weighted MRI in the differentiation of benign and malign breast lesions.

Authors:  G Sonmez; F Cuce; H Mutlu; M Incedayi; E Ozturk; O Sildiroglu; M Velioglu; C C Bashekim; E Kizilkaya
Journal:  Wien Klin Wochenschr       Date:  2011-09-18       Impact factor: 1.704

4.  Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.

Authors:  Chunling Liu; Kun Wang; Queenie Chan; Zaiyi Liu; Jine Zhang; Hui He; Shuixing Zhang; Changhong Liang
Journal:  Eur Radiol       Date:  2016-02-10       Impact factor: 5.315

Review 5.  DCE-MRI: a review and applications in veterinary oncology.

Authors:  M Keara Boss; N Muradyan; D E Thrall
Journal:  Vet Comp Oncol       Date:  2011-12-08       Impact factor: 2.613

6.  Evaluation of optimized magnetic resonance perfusion imaging scanning time window after contrast agent injection for differentiating benign and malignant breast lesions.

Authors:  Jie Dong; Dawei Wang; Zhenshen Ma; Guodong Deng; Lanhua Wang; Jiandong Zhang
Journal:  Exp Ther Med       Date:  2017-01-18       Impact factor: 2.447

7.  Chest tomosynthesis: technical principles and clinical update.

Authors:  James T Dobbins; H Page McAdams
Journal:  Eur J Radiol       Date:  2009-07-18       Impact factor: 3.528

Review 8.  The American College Of Radiology Imaging Network--clinical trials of diagnostic imaging and image-guided treatment.

Authors:  Bruce J Hillman; Constantine Gatsonis
Journal:  Semin Oncol       Date:  2008-10       Impact factor: 4.929

9.  Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

Authors:  M V Sprindzuk; V A Kovalev; E V Snezhko; S A Kharuzhyk
Journal:  Pol J Radiol       Date:  2010-01

Review 10.  Molecular imaging as a tool for translating breast cancer science.

Authors:  David A Mankoff
Journal:  Breast Cancer Res       Date:  2008-12-09       Impact factor: 6.466

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