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Items: 1 to 20 of 96

1.

Dynamic contrast-enhanced computed tomography in metastatic nasopharyngeal carcinoma: reproducibility analysis and observer variability of the distributed parameter model.

Ng QS, Thng CH, Lim WT, Hartono S, Thian YL, Lee PS, Tan DS, Tan EH, Koh TS.

Invest Radiol. 2012 Jan;47(1):5-10. doi: 10.1097/RLI.0b013e3182199b9a.

PMID:
21577128
2.

Dynamic contrast-enhanced magnetic resonance imaging measurements in renal cell carcinoma: effect of region of interest size and positioning on interobserver and intraobserver variability.

Braunagel M, Radler E, Ingrisch M, Staehler M, Schmid-Tannwald C, Rist C, Nikolaou K, Reiser MF, Notohamiprodjo M.

Invest Radiol. 2015 Jan;50(1):57-66. doi: 10.1097/RLI.0000000000000096.

PMID:
25260094
3.

Automated voxel-based analysis of volumetric dynamic contrast-enhanced CT data improves measurement of serial changes in tumor vascular biomarkers.

Coolens C, Driscoll B, Chung C, Shek T, Gorjizadeh A, Ménard C, Jaffray D.

Int J Radiat Oncol Biol Phys. 2015 Jan 1;91(1):48-57. doi: 10.1016/j.ijrobp.2014.09.028.

PMID:
25446606
4.

Tracer kinetics analysis of dynamic contrast-enhanced CT and MR data in patients with squamous cell carcinoma of the upper aerodigestive tract: comparison of the results.

Bisdas S, Baghi M, Wagenblast J, Bisdas T, Thng CH, Mack MG, Koh TS, Ernemann U.

Clin Physiol Funct Imaging. 2009 Sep;29(5):339-46. doi: 10.1111/j.1475-097X.2009.00876.x.

PMID:
19473200
5.

Advanced solid tumors treated with cediranib: comparison of dynamic contrast-enhanced MR imaging and CT as markers of vascular activity.

Messiou C, Orton M, Ang JE, Collins DJ, Morgan VA, Mears D, Castellano I, Papadatos-Pastos D, Brunetto A, Tunariu N, Mann H, Tessier J, Young H, Ghiorghiu D, Marley S, Kaye SB, deBono JS, Leach MO, deSouza NM.

Radiology. 2012 Nov;265(2):426-36. doi: 10.1148/radiol.12112565.

PMID:
22891356
6.

Quantification of variability in breath-hold perfusion CT of hepatocellular carcinoma: a step toward clinical use.

Petralia G, Summers P, Viotti S, Montefrancesco R, Raimondi S, Bellomi M.

Radiology. 2012 Nov;265(2):448-56. doi: 10.1148/radiol.12111232.

PMID:
22996748
7.

Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.

Mendichovszky IA, Cutajar M, Gordon I.

Eur J Radiol. 2009 Sep;71(3):576-81. doi: 10.1016/j.ejrad.2008.09.025.

PMID:
19004588
8.

CT perfusion in predicting treatment response of nasopharyngeal carcinoma.

Tuntiyatorn L, Fusuwankaya E, Sawangsilpa T, Bhongmakapat T.

J Med Assoc Thai. 2014 Mar;97(3):333-41.

PMID:
25123014
9.

Quantitative assessment of colorectal cancer tumor vascular parameters by using perfusion CT: influence of tumor region of interest.

Goh V, Halligan S, Gharpuray A, Wellsted D, Sundin J, Bartram CI.

Radiology. 2008 Jun;247(3):726-32. doi: 10.1148/radiol.2473070414.

PMID:
18403621
10.
11.
13.

Inter- and intra-rater reproducibility of quantitative dynamic contrast enhanced MRI using TWIST perfusion data in a uterine fibroid model.

Davenport MS, Heye T, Dale BM, Horvath JJ, Breault SR, Feuerlein S, Bashir MR, Boll DT, Merkle EM.

J Magn Reson Imaging. 2013 Aug;38(2):329-35. doi: 10.1002/jmri.23974.

14.

Intra- and interobserver agreement and impact of arterial input selection in perfusion CT measurements performed in squamous cell carcinoma of the upper aerodigestive tract.

Petralia G, Preda L, Raimondi S, D'Andrea G, Summers P, Giugliano G, Chiesa F, Bellomi M.

AJNR Am J Neuroradiol. 2009 Jun;30(6):1107-15. doi: 10.3174/ajnr.A1540.

15.

Dynamic contrast-enhanced computed tomography imaging biomarkers correlated with immunohistochemistry for monitoring the effects of sorafenib on experimental prostate carcinomas.

Cyran CC, von Einem JC, Paprottka PM, Schwarz B, Ingrisch M, Dietrich O, Hinkel R, Bruns CJ, Clevert DA, Eschbach R, Reiser MF, Wintersperger BJ, Nikolaou K.

Invest Radiol. 2012 Jan;47(1):49-57. doi: 10.1097/RLI.0b013e3182300fe4.

PMID:
21934514
16.

Developing DCE-CT to quantify intra-tumor heterogeneity in breast tumors with differing angiogenic phenotype.

Cao M, Liang Y, Shen C, Miller KD, Stantz KM.

IEEE Trans Med Imaging. 2009 Jun;28(6):861-71. doi: 10.1109/TMI.2008.2012035.

PMID:
19150783
17.

Functional CT of squamous cell carcinoma in the head and neck: repeatability of tumor and muscle quantitative measurements, inter- and intra-observer agreement.

Bisdas S, Surlan-Popovic K, Didanovic V, Vogl TJ.

Eur Radiol. 2008 Oct;18(10):2241-50. doi: 10.1007/s00330-008-0990-1.

PMID:
18446342
18.

Dynamic contrast-enhanced CT for prostate cancer: relationship between image noise, voxel size, and repeatability.

Korporaal JG, van den Berg CA, Jeukens CR, Groenendaal G, Moman MR, Luijten P, van Vulpen M, van der Heide UA.

Radiology. 2010 Sep;256(3):976-84. doi: 10.1148/radiol.10092068.

PMID:
20663968
19.

Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis.

Heye T, Merkle EM, Reiner CS, Davenport MS, Horvath JJ, Feuerlein S, Breault SR, Gall P, Bashir MR, Dale BM, Kiraly AP, Boll DT.

Radiology. 2013 Mar;266(3):812-21. doi: 10.1148/radiol.12120255.

PMID:
23220891
20.

Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI.

Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Tha KK, Kudo K, Shirato H.

Magn Reson Imaging. 2014 Dec;32(10):1206-13. doi: 10.1016/j.mri.2014.08.009.

PMID:
25131628

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