Effect of Injection Technique on Temporal Parametric Imaging Derived from Digital Subtraction Angiography in Patient Specific Phantoms

Overview

Journal Proc SPIE Int Soc Opt Eng

Date 2014 Oct 11

PMID 25302010

Citations 21

Authors

Ciprian N Ionita

Victor L Garcia

Daniel R Bednarek

Kenneth V Snyder

Adnan H Siddiqui

Elad I Levy

Stephen Rudin

Affiliations

Soon will be listed here.

Abstract

Parametric imaging maps (PIM's) derived from digital subtraction angiography (DSA) for the cerebral arterial flow assessment in clinical settings have been proposed, but experiments have yet to determine the reliability of such studies. For this study, we have observed the effects of different injection techniques on PIM's. A flow circuit set to physiologic conditions was created using an internal carotid artery phantom. PIM's were derived for two catheter positions, two different contrast bolus injection volumes (5ml and 10 ml), and four injection rates (5, 10, 15 and 20 ml/s). Using a gamma variate fitting approach, we derived PIM's for mean-transit-time (MTT), time-to-peak (TTP) and bolus-arrivaltime (BAT). For the same injection rates, a larger bolus resulted in an increased MTT and TTP, while a faster injection rate resulted in a shorter MTT, TTP, and BAT. In addition, the position of the catheter tip within the vasculature directly affected the PIM. The experiment showed that the PIM is strongly correlated with the injection conditions, and, therefore, they have to be interpreted with caution. PIM images must be taken from the same patient to be able to be meaningfully compared. These comparisons can include pre- and post-treatment images taken immediately before and after an interventional procedure or simultaneous arterial flow comparisons through the left and right cerebral hemispheres. Due to the strong correlation between PIM and injection conditions, this study indicates that this assessment method should be used only to compare flow changes before and after treatment within the same patient using the same injection conditions.

Citing Articles

Application of and Prospects for 3-Dimensional Printing in Transcatheter Mitral Valve Interventions.

Mao Y, Liu Y, Zhai M, Yang J Rev Cardiovasc Med. 2024; 24(2):61.

PMID: 39077424 PMC: 11273148. DOI: 10.31083/j.rcm2402061.

Enhancing cerebral vasculature analysis with pathlength-corrected 2D angiographic parametric imaging: A feasibility study.

Shields A, Williams K, Shiraz Bhurwani M, Nagesh S, Chivukula V, Bednarek D Med Phys. 2023; 51(4):2633-2647.

PMID: 37864843 PMC: 10994741. DOI: 10.1002/mp.16808.

Investigating Angiographic Injection Parameters for Cerebral Aneurysm Hemodynamic Characterization Using Patient-Specific Simulated Angiograms.

White R, Shields A, Nagesh S, Smith E, Davies J, Bednarek D Proc SPIE Int Soc Opt Eng. 2023; 12468.

PMID: 37425071 PMC: 10327470. DOI: 10.1117/12.2653871.

2D versus 3D comparison of angiographic imaging biomarkers using computational fluid dynamics simulations of contrast injections.

Shields A, Bhurwani M, Williams K, Chivukula V, Bednarek D, Rudin S Proc SPIE Int Soc Opt Eng. 2023; 12463.

PMID: 37424835 PMC: 10327468. DOI: 10.1117/12.2653119.

Angiographic velocimetry analysis using contrast dilution gradient method with a 1000 frames per second photon-counting detector.

Williams K, Shields A, Nagesh S, Chudzik M, Bednarek D, Rudin S J Med Imaging (Bellingham). 2023; 10(3):033502.

PMID: 37287600 PMC: 10242414. DOI: 10.1117/1.JMI.10.3.033502.

References

Seidel G, Meyer-Wiethe K, Berdien G, Hollstein D, Toth D, Aach T . Ultrasound perfusion imaging in acute middle cerebral artery infarction predicts outcome. Stroke. 2004; 35(5):1107-11. DOI: 10.1161/01.STR.0000124125.19773.40. View

Tenjin H, Asakura F, Nakahara Y, Matsumoto K, Matsuo T, Urano F . Evaluation of intraaneurysmal blood velocity by time-density curve analysis and digital subtraction angiography. AJNR Am J Neuroradiol. 1998; 19(7):1303-7. PMC: 8332224. View

Ionita C, Paciorek A, Dohatcu A, Hoffmann K, Bednarek D, Kolega J . The asymmetric vascular stent: efficacy in a rabbit aneurysm model. Stroke. 2009; 40(3):959-65. PMC: 2692717. DOI: 10.1161/STROKEAHA.108.524124. View

Ionita C, Natarajan S, Wang W, Hopkins L, Levy E, Siddiqui A . Evaluation of a second-generation self-expanding variable-porosity flow diverter in a rabbit elastase aneurysm model. AJNR Am J Neuroradiol. 2011; 32(8):1399-407. PMC: 3411317. DOI: 10.3174/ajnr.A2548. View

Shpilfoygel S, Close R, Valentino D, Duckwiler G . X-ray videodensitometric methods for blood flow and velocity measurement: a critical review of literature. Med Phys. 2000; 27(9):2008-23. DOI: 10.1118/1.1288669. View

Norris J, Valiante T, Wallace M, Willinsky R, Montanera W, terBrugge K . A simple relationship between radiological arteriovenous malformation hemodynamics and clinical presentation: a prospective, blinded analysis of 31 cases. J Neurosurg. 1999; 90(4):673-9. DOI: 10.3171/jns.1999.90.4.0673. View

Mistretta C, CRUMMY A, Strother C . Digital angiography: a perspective. Radiology. 1981; 139(2):273-6. DOI: 10.1148/radiology.139.2.7012918. View

Ionita C, Wang W, Bednarek D, Rudin S . Assessment of contrast flow modification in aneurysms treated with closed-cell self-deploying asymmetric vascular stents (SAVS). Proc SPIE Int Soc Opt Eng. 2011; 7626. PMC: 3021376. DOI: 10.1117/12.844327. View

Huang T, Wu T, Lin C, Mok G, Guo W . Peritherapeutic quantitative flow analysis of arteriovenous malformation on digital subtraction angiography. J Vasc Surg. 2012; 56(3):812-5. DOI: 10.1016/j.jvs.2012.02.041. View

10.

Ionita C, Paciorek A, Hoffmann K, Bednarek D, Yamamoto J, Kolega J . Asymmetric vascular stent: feasibility study of a new low-porosity patch-containing stent. Stroke. 2008; 39(7):2105-13. PMC: 2562235. DOI: 10.1161/STROKEAHA.107.503862. View

11.

Ionita C, Dohatcu A, Sinelnikov A, Sherman J, Keleshis C, Paciorek A . Angiographic analysis of animal model aneurysms treated with novel polyurethane asymmetric vascular stent (P-AVS): feasibility study. Proc SPIE Int Soc Opt Eng. 2009; 7262:72621H1-72621H10. PMC: 2745172. DOI: 10.1117/12.812628. View

12.

Fencil L, Doi K, Chua K, Hoffman K . Measurement of absolute flow rate in vessels using a stereoscopic DSA system. Phys Med Biol. 1989; 34(6):659-71. DOI: 10.1088/0031-9155/34/6/002. View

13.

Miles K, Griffiths M . Perfusion CT: a worthwhile enhancement?. Br J Radiol. 2003; 76(904):220-31. DOI: 10.1259/bjr/13564625. View

14.

Reichenbach J, Rother J, Jonetz-Mentzel L, Herzau M, Fiala A, Weiller C . Acute stroke evaluated by time-to-peak mapping during initial and early follow-up perfusion CT studies. AJNR Am J Neuroradiol. 1999; 20(10):1842-50. PMC: 7657777. View

15.

Benndorf G . Color-coded digital subtraction angiography: the end of a monochromatic era?. AJNR Am J Neuroradiol. 2010; 31(5):925-7. PMC: 7964175. DOI: 10.3174/ajnr.A2077. View

16.

Ionita C, Suri H, Nataranjian S, Siddiqui A, Levy E, Hopkins N . Angiographic imaging evaluation of patient-specific bifurcation-aneurysm phantom treatment with pre-shaped, self-expanding, flow-diverting stents: feasibility study. Proc SPIE Int Soc Opt Eng. 2011; 7965:79651H1-79651H9. PMC: 3134257. DOI: 10.1117/12.877675. View

17.

Butler P . Digital subtraction angiography (DSA): a neurosurgical perspective. Br J Neurosurg. 1987; 1(3):323-33. DOI: 10.3109/02688698709023774. View

18.

Ionita C, Bednarek D, Rudin S . Investigation of metrics to assess vascular flow modifications for diverter device designs using hydrodynamics and angiographic studies. Proc SPIE Int Soc Opt Eng. 2013; 8317:83170F. PMC: 3767005. DOI: 10.1117/12.915675. View