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Items: 1 to 20 of 79

1.

Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping.

Keith L, Ross BD, Galbán CJ, Luker GD, Galbán S, Zhao B, Guo X, Chenevert TL, Hoff BA.

Tomography. 2016 Dec;2(4):267-275. doi: 10.18383/j.tom.2016.00181.

2.

A generalized parametric response mapping method for analysis of multi-parametric imaging: A feasibility study with application to glioblastoma.

Lausch A, Yeung TP, Chen J, Law E, Wang Y, Urbini B, Donelli F, Manco L, Fainardi E, Lee TY, Wong E.

Med Phys. 2017 Nov;44(11):6074-6084. doi: 10.1002/mp.12562. Epub 2017 Oct 13.

PMID:
28875538
3.

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.

Sauwen N, Acou M, Van Cauter S, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Van Huffel S.

Neuroimage Clin. 2016 Sep 30;12:753-764. eCollection 2016.

4.

Prospective analysis of parametric response map-derived MRI biomarkers: identification of early and distinct glioma response patterns not predicted by standard radiographic assessment.

Galbán CJ, Chenevert TL, Meyer CR, Tsien C, Lawrence TS, Hamstra DA, Junck L, Sundgren PC, Johnson TD, Galbán S, Sebolt-Leopold JS, Rehemtulla A, Ross BD.

Clin Cancer Res. 2011 Jul 15;17(14):4751-60. doi: 10.1158/1078-0432.CCR-10-2098. Epub 2011 Apr 28.

5.

Image registration for quantitative parametric response mapping of cancer treatment response.

Boes JL, Hoff BA, Hylton N, Pickles MD, Turnbull LW, Schott AF, Rehemtulla A, Chamberlain R, Lemasson B, Chenevert TL, Galbán CJ, Meyer CR, Ross BD.

Transl Oncol. 2014 Feb 1;7(1):101-10. eCollection 2014 Feb.

6.

Automated and Semiautomated Segmentation of Rectal Tumor Volumes on Diffusion-Weighted MRI: Can It Replace Manual Volumetry?

van Heeswijk MM, Lambregts DM, van Griethuysen JJ, Oei S, Rao SX, de Graaff CA, Vliegen RF, Beets GL, Papanikolaou N, Beets-Tan RG.

Int J Radiat Oncol Biol Phys. 2016 Mar 15;94(4):824-31. doi: 10.1016/j.ijrobp.2015.12.017. Epub 2015 Dec 17.

PMID:
26972655
7.

MR Perfusion-derived Hemodynamic Parametric Response Mapping of Bevacizumab Efficacy in Recurrent Glioblastoma.

Kickingereder P, Radbruch A, Burth S, Wick A, Heiland S, Schlemmer HP, Wick W, Bendszus M, Bonekamp D.

Radiology. 2016 May;279(2):542-52. doi: 10.1148/radiol.2015151172. Epub 2015 Nov 16.

PMID:
26579564
8.

Implementing Functional Preoperative Mapping in the Clinical Routine of a Neurosurgical Department: Technical Note.

Sollmann N, Meyer B, Krieg SM.

World Neurosurg. 2017 Jul;103:94-105. doi: 10.1016/j.wneu.2017.03.114. Epub 2017 Apr 2.

PMID:
28377253
9.

Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke.

Higashida RT, Furlan AJ, Roberts H, Tomsick T, Connors B, Barr J, Dillon W, Warach S, Broderick J, Tilley B, Sacks D; Technology Assessment Committee of the American Society of Interventional and Therapeutic Neuroradiology; Technology Assessment Committee of the Society of Interventional Radiology.

Stroke. 2003 Aug;34(8):e109-37. Epub 2003 Jul 17. Erratum in: Stroke. 2003 Nov;34(11):2774.

PMID:
12869717
10.

sfDM: Open-Source Software for Temporal Analysis and Visualization of Brain Tumor Diffusion MR Using Serial Functional Diffusion Mapping.

Ceschin R, Panigrahy A, Gopalakrishnan V.

Cancer Inform. 2015 Feb 1;14(Suppl 2):1-9. doi: 10.4137/CIN.S17293. eCollection 2015.

11.
12.

Semiautomated volumetric measurement on postcontrast MR imaging for analysis of recurrent and residual disease in glioblastoma multiforme.

Chow DS, Qi J, Guo X, Miloushev VZ, Iwamoto FM, Bruce JN, Lassman AB, Schwartz LH, Lignelli A, Zhao B, Filippi CG.

AJNR Am J Neuroradiol. 2014 Mar;35(3):498-503. doi: 10.3174/ajnr.A3724. Epub 2013 Aug 29.

13.

Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme.

Fathi Kazerooni A, Mohseni M, Rezaei S, Bakhshandehpour G, Saligheh Rad H.

MAGMA. 2015 Feb;28(1):13-22. doi: 10.1007/s10334-014-0442-7. Epub 2014 Apr 2.

PMID:
24691860
14.

The parametric response map is an imaging biomarker for early cancer treatment outcome.

Galbán CJ, Chenevert TL, Meyer CR, Tsien C, Lawrence TS, Hamstra DA, Junck L, Sundgren PC, Johnson TD, Ross DJ, Rehemtulla A, Ross BD.

Nat Med. 2009 May;15(5):572-6. doi: 10.1038/nm.1919. Epub 2009 Apr 19.

15.

Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.

Galbán CJ, Ma B, Malyarenko D, Pickles MD, Heist K, Henry NL, Schott AF, Neal CH, Hylton NM, Rehemtulla A, Johnson TD, Meyer CR, Chenevert TL, Turnbull LW, Ross BD.

PLoS One. 2015 Mar 27;10(3):e0122151. doi: 10.1371/journal.pone.0122151. eCollection 2015.

16.
17.

Magnetic Resonance Imaging Application in the Area of Mild and Acute Traumatic Brain Injury: Implications for Diagnostic Markers?.

Toth A.

In: Kobeissy FH, editor. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis; 2015. Chapter 24.

18.

Brain tumor classification using the diffusion tensor image segmentation (D-SEG) technique.

Jones TL, Byrnes TJ, Yang G, Howe FA, Bell BA, Barrick TR.

Neuro Oncol. 2015 Mar;17(3):466-76. doi: 10.1093/neuonc/nou159. Epub 2014 Aug 13.

19.
20.

Use of (11)C-methionine PET parametric response map for monitoring WT1 immunotherapy response in recurrent malignant glioma.

Chiba Y, Kinoshita M, Okita Y, Tsuboi A, Isohashi K, Kagawa N, Fujimoto Y, Oji Y, Oka Y, Shimosegawa E, Morita S, Hatazawa J, Sugiyama H, Hashimoto N, Yoshimine T.

J Neurosurg. 2012 Apr;116(4):835-42. doi: 10.3171/2011.12.JNS111255. Epub 2012 Jan 13.

PMID:
22242671

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