Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.

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Title: Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.
Authors: Huang Z; Department of Radiation Oncology, East Carolina University, Greenville, NC; Department of Radiation Oncology, Ohio State University, Columbus, OH., Yuh KA; Department of Radiation Oncology, East Carolina University, Greenville, NC; Department of Radiation Oncology, Ohio State University, Columbus, OH., Lo SS; Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH., Grecula JC; Department of Radiation Oncology, Ohio State University, Columbus, OH., Sammet S; Department of Radiology, Ohio State University, Columbus, OH; Department of Radiology, University of Chicago, Chicago, Il., Sammet CL; Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Il., Jia G; Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA., Knopp MV; Department of Radiology, Ohio State University, Columbus, OH., Wu Q; Department of Biostatistics, East Carolina University, Greenville, NC., Beauchamp NJ 3rd; Department of Radiology, University of Washington, Seattle, WA., Yuh WT; Department of Radiology, Ohio State University, Columbus, OH; Department of Radiology, University of Washington, Seattle, WA., Wang R; Department of Radiation Oncology, Ohio State University, Columbus, OH., Mayr NA; Department of Radiation Oncology, Ohio State University, Columbus, OH; Department of Radiation Oncology, University of Washington, Seattle, WA. Electronic address: ninamayr@uw.edu.
Source: Magnetic resonance imaging [Magn Reson Imaging] 2014 Dec; Vol. 32 (10), pp. 1198-205. Date of Electronic Publication: 2014 Aug 29.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Validation Study
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.
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  Data: <searchLink fieldCode="AU" term="%22Huang+Z%22">Huang Z</searchLink>; Department of Radiation Oncology, East Carolina University, Greenville, NC; Department of Radiation Oncology, Ohio State University, Columbus, OH.<br /><searchLink fieldCode="AU" term="%22Yuh+KA%22">Yuh KA</searchLink>; Department of Radiation Oncology, East Carolina University, Greenville, NC; Department of Radiation Oncology, Ohio State University, Columbus, OH.<br /><searchLink fieldCode="AU" term="%22Lo+SS%22">Lo SS</searchLink>; Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH.<br /><searchLink fieldCode="AU" term="%22Grecula+JC%22">Grecula JC</searchLink>; Department of Radiation Oncology, Ohio State University, Columbus, OH.<br /><searchLink fieldCode="AU" term="%22Sammet+S%22">Sammet S</searchLink>; Department of Radiology, Ohio State University, Columbus, OH; Department of Radiology, University of Chicago, Chicago, Il.<br /><searchLink fieldCode="AU" term="%22Sammet+CL%22">Sammet CL</searchLink>; Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Il.<br /><searchLink fieldCode="AU" term="%22Jia+G%22">Jia G</searchLink>; Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA.<br /><searchLink fieldCode="AU" term="%22Knopp+MV%22">Knopp MV</searchLink>; Department of Radiology, Ohio State University, Columbus, OH.<br /><searchLink fieldCode="AU" term="%22Wu+Q%22">Wu Q</searchLink>; Department of Biostatistics, East Carolina University, Greenville, NC.<br /><searchLink fieldCode="AU" term="%22Beauchamp+NJ+3rd%22">Beauchamp NJ 3rd</searchLink>; Department of Radiology, University of Washington, Seattle, WA.<br /><searchLink fieldCode="AU" term="%22Yuh+WT%22">Yuh WT</searchLink>; Department of Radiology, Ohio State University, Columbus, OH; Department of Radiology, University of Washington, Seattle, WA.<br /><searchLink fieldCode="AU" term="%22Wang+R%22">Wang R</searchLink>; Department of Radiation Oncology, Ohio State University, Columbus, OH.<br /><searchLink fieldCode="AU" term="%22Mayr+NA%22">Mayr NA</searchLink>; Department of Radiation Oncology, Ohio State University, Columbus, OH; Department of Radiation Oncology, University of Washington, Seattle, WA. Electronic address: ninamayr@uw.edu.
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  Data: <searchLink fieldCode="JN" term="%228214883%22">Magnetic resonance imaging</searchLink> [Magn Reson Imaging] 2014 Dec; Vol. 32 (10), pp. 1198-205. <i>Date of Electronic Publication: </i>2014 Aug 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8214883 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-5894 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220730725X%22">0730725X </searchLink><i>NLM ISO Abbreviation: </i>Magn Reson Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.mri.2014.08.039
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              Text: 2014 Dec
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