Literature DB >> 20663968

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

Johannes G Korporaal1, Cornelis A T van den Berg, Cécile R L P N Jeukens, Greetje Groenendaal, Maaike R Moman, Peter Luijten, Marco van Vulpen, Uulke A van der Heide.   

Abstract

PURPOSE: To evaluate the relationship between image noise, voxel size, and voxel-wise repeatability of a dynamic contrast agent-enhanced (DCE) computed tomographic (CT) examination for prostate cancer.
MATERIALS AND METHODS: This prospective study was approved by the local research ethics committee, and all patients gave written informed consent. Twenty-nine patients (mean age, 69.1 years; range, 56-80 years) with biopsy-proved prostate cancer underwent two DCE CT examinations within 1 week prior to radiation therapy. Parameter maps of transfer constant (K(trans)), the fraction of blood plasma (v(p)), the fraction of extravascular extracellular space (v(e)), and the flux rate constant between the extravascular extracellular space and plasma (k(ep)) were calculated at 15 different image resolutions, with kernel sizes ranging from 0.002 to 2.57 cm(3). Statistical analysis to quantify the voxel-wise repeatability was performed by using a Bland-Altman analysis on all tracer kinetic model parameter maps of each patient. From this analysis, the within-voxel standard deviation (wSD) was calculated as a function of spatial resolution.
RESULTS: A kernel size in the range of 0.1-0.3 cm(3) yields reliable information. At 0.15 cm(3), the median wSDs of K(trans), k(ep), v(p), and v(e) are 0.047 min(-1), 0.144 min(-1), 0.011, and 0.104, respectively. With increasing kernel size, these values reach stable levels of approximately 0.02 min(-1), 0.05 min(-1), 0.005, and 0.05, respectively.
CONCLUSION: There is a high voxel-wise repeatability of the DCE CT imaging technique for prostate cancer for kernel sizes as small as 0.1 cm(3). With the relationship between kernel size, image noise and voxel-wise repeatability, it becomes possible to estimate for alternative DCE CT protocols (eg, those with a reduced radiation dose) at what kernel size a sufficient repeatability can be obtained. (c) RSNA, 2010.

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Year:  2010        PMID: 20663968     DOI: 10.1148/radiol.10092068

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


  8 in total

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2.  Modeling Dynamic Contrast-Enhanced MRI Data with a Constrained Local AIF.

Authors:  Chong Duan; Jesper F Kallehauge; Carlos J Pérez-Torres; G Larry Bretthorst; Scott C Beeman; Kari Tanderup; Joseph J H Ackerman; Joel R Garbow
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3.  Synthesis, preclinical evaluation, and first-in-human study of Al18F-PSMA-Q for prostate cancer imaging.

Authors:  Yitian Wu; Xiaojun Zhang; Haoxi Zhou; Baixuan Xu; Jiahe Tian; Shuwei Sun; Jinming Zhang
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4.  Performance of a fast and high-resolution multi-echo spin-echo sequence for prostate T2 mapping across multiple systems.

Authors:  Petra J van Houdt; Harsh K Agarwal; Laurens D van Buuren; Stijn W T P J Heijmink; Søren Haack; Henk G van der Poel; Ghazaleh Ghobadi; Floris J Pos; Johannes M Peeters; Peter L Choyke; Uulke A van der Heide
Journal:  Magn Reson Med       Date:  2017-07-03       Impact factor: 4.668

5.  Groupwise image registration based on a total correlation dissimilarity measure for quantitative MRI and dynamic imaging data.

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6.  4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.

Authors:  Lucian Beer; Stephan H Polanec; Pascal A T Baltzer; Georg Schatzl; Dietmar Georg; Christian Schestak; Anja Dutschke; Harald Herrmann; Peter Mazal; Alexander K Brendel; Shahrokh F Shariat; Helmut Ringl; Thomas H Helbich; Paul Apfaltrer
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7.  Optimized 68Ga-Labeled Urea-Based PSMA-Targeted PET Tracers for Prostate Cancer.

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Review 8.  Quantitative imaging for radiotherapy purposes.

Authors:  Oliver J Gurney-Champion; Faisal Mahmood; Marcel van Schie; Robert Julian; Ben George; Marielle E P Philippens; Uulke A van der Heide; Daniela Thorwarth; Kathrine R Redalen
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  8 in total

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