Response-Derived Input Function Estimation for Dynamic Contrast-Enhanced MRI Demonstrated by Anti-DLL4 Treatment in a Murine U87 Xenograft Model.
Purpose: Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) is an accepted method to evaluate tumor perfusion and permeability and anti-vascular cancer therapies. However, there is no consensus on the vascular input function estimation method, which is critical to kinetic modeling and K...
| Publicado en: | Molecular Imaging & Biology Vol. 19; no. 5; pp. 673 - 683 |
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| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124865034&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124865034 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Oct2017 vid: 19 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124865034 124865034 144043964 NLM28265853 124865034 10.1007/s11307-017-1065-y NLM28265853 124865034 ppf: 673 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Response-Derived Input Function Estimation for Dynamic Contrast-Enhanced MRI Demonstrated by Anti-DLL4 Treatment in a Murine U87 Xenograft Model. aug: au: Silva, Matthew Yerby, Brittany Moriguchi, Jodi Gomez, Albert Toni Jun, H. Coxon, Angela Ungersma, Sharon Silva, Matthew D Ungersma, Sharon E affil: Department of Research Imaging Sciences , Amgen, Inc. , Thousand Oaks 93021 USA sug: subj: Intracellular Signaling Peptides and Proteins Antagonists and Inhibitors Contrast Media Magnetic Resonance Imaging Membrane Proteins Antagonists and Inhibitors Animal Studies Immunoglobulins Metabolism Membrane Proteins Metabolism Pharmacokinetics Computer Simulation Cell Line, Tumor Intracellular Signaling Peptides and Proteins Metabolism Signal Processing, Computer Assisted Female Mice Female ab: Purpose: Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) is an accepted method to evaluate tumor perfusion and permeability and anti-vascular cancer therapies. However, there is no consensus on the vascular input function estimation method, which is critical to kinetic modeling and K trans estimation. This work proposes a response-derived input function (RDIF) estimated from the response of the tumor, modeled as a linear, time-invariant (LTI) system.Procedures: In an LTI system, an unknown input can be estimated from the system response. If applied to DCE MRI, this method would eliminate need of distal image-derived inputs, model inputs, or reference regions. The RDIF method first determines each tumor pixel's best-fit input function, and then combines the individual fits into a single input function for the entire tumor. The method was tested with simulations and a xenograft study with anti-vascular drug treatment.Results: Simulations showed successful estimation of input function expected values and good performance in the presence of noise. In vivo, significant reductions in K trans and AUC occurred 2 days following anti-delta-like ligand 4 treatment. The in vivo study results yielded K trans consistent with published data in xenograft models.Conclusion: The RDIF method for DCE analysis offers an alternative, easy-to-implement method for estimating the input function in tumors. The method assumes that during the DCE experiment, the changes observed by MRI result solely from vascular perfusion and permeability kinetics, and that information can be used to model the input function. Importantly, the method is demonstrated in a murine xenograft study to yield K trans results consistent with literature values and suitable for compound studies. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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