Angiography Suite Cone-Beam Computed Tomography Perfusion Imaging in Large-Vessel Occlusion Patients Using RAPID Software: A Pilot Study
Graphical Abstract
Multidetector computed tomography (CT) perfusion (MDCTP) volume estimation using RAPID software (iSchemaView, Menlo Park, CA) has been validated in clinical trials for endovascular thrombectomy (EVT) selection.1,2 The availability of cone-beam CT perfusion (CBCTP) in the angiosuite might shorten workflow times in late-window patients transferred from primary centers without CTP capabilities. We evaluate whether quantitative analysis of MDCTP and CBCTP using RAPID software would lead to comparable ischemic core and hypoperfused tissue volumes in patients undergoing EVT.
Methods
Anonymized data are available upon reasonable request. This single-center study was approved by our Institutional Review Board and all participants/proxies signed a written informed consent form. We conducted a prospective, single-arm interventional study including patients with anterior circulation large-vessel occlusion stroke eligible for EVT. MDCTP and CBCTP datasets were processed using RAPID software (Data Supplement).
Ischemic core was defined as relative cerebral blood flow of <30% on MDCTP and <45% on CBCTP of the corresponding contralateral territory. The hypoperfused tissue was evaluated using time-to-maximum >6.0 s and time-to-maximum >10.0 s thresholds. We compared MDCTP and CBCTP volumes using intraclass correlation coefficient, Bland-Altman agreement plots, and Pearson and Spearman correlations. Finally, we compared CBCTP ischemic core and the final infarct volume in reperfused patients.
Results
Thirteen patients were included in the final analysis (Figure I and Table I in the Data Supplement). We found a strong correlation between MDCTP and CBCTP for the ischemic core (Pearson=0.91, Spearman=0.87) and time-to-maximum >6.0 s (Pearson=0.90, Spearman=0.85). Bland-Altman analysis showed 92% agreement for both perfusion parameters (Figure). We observed an intraclass correlation coefficient of 0.89 (95% CI, 0.67–0.96) for the ischemic core and 0.86 (95% CI, 0.55–0.96) for time-to-maximum >6.0 s (Table II in the Data Supplement).
Comparing CBCTP ischemic core and the final infarct volume, we found a strong correlation (Pearson=0.87, Spearman=0.87) and 90% of agreement. We also observed an intraclass correlation coefficient of 0.81 (95% CI, 0.48–0.94).
Discussion
This study demonstrates that automated analysis of ischemic core and hypoperfused tissue volumes derived from MDCTP and CBCTP in patients with stroke eligible for EVT provides comparable results.
In our study, the contrast dose received in CBCTP after MDCTP was relatively low, and the median time between studies was short, which could reduce perfusion variations between modalities. Potential infarct growth between modalities was considered and 91% (10/11) of cases had concordant results using the DEFUSE 3 trial (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke) eligibility criteria for EVT.2
An automated real-time perfusion volumetric processing in the angiosuite would allow bypassing the emergency department for transferred large-vessel occlusion late-window patients. Thus, this technology might reduce reperfusion times and improve patients’ functional outcomes. In addition, CBCTP images could provide a more accurate assessment of perfusion parameters during and immediately after EVT. Downsides of transferring patients from primary centers to angiosuite might include EVT ineligibility due to large core infarct, low stroke severity, distal occlusion, among others.3
The study is limited by the small sample size. Additional limitations are included in the Data Supplement.
Footnote
Nonstandard Abbreviations and Acronyms
- CBCTP
- cone-beam CT perfusion
- CT
- computed tomography
- EVT
- endovascular thrombectomy
- MDCTP
- multidetector CT perfusion
Supplemental Material
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References
1.
Albers GW, Goyal M, Jahan R, Bonafe A, Diener HC, Levy EI, Pereira VM, Cognard C, Cohen DJ, Hacke W, et al. Ischemic core and hypoperfusion volumes predict infarct size in SWIFT PRIME. Ann Neurol. 2016;79:76–89. doi: 10.1002/ana.24543
2.
Albers GW, Marks MP, Kemp S, Christensen S, Tsai JP, Ortega-Gutierrez S, McTaggart RA, Torbey MT, Kim-Tenser M, Leslie-Mazwi T, et al; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med. 2018;378:708–718. doi: 10.1056/NEJMoa1713973
3.
Reddy ST, Savitz SI, Friedman E, Arevalo O, Zhang J, Ankrom C, Trevino A, Tzu-Ching W. Patients transferred within a telestroke network for large-vessel occlusion [published online September 20, 2020]. J Telemed Telecare. 2020. doi: 1357633X20957894
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© 2021 American Heart Association, Inc.
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History
Published online: 28 July 2021
Published in print: September 2021
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Disclosures
Disclosures Dr Ortega-Gutierrez is consultant for Medtronic and Stryker. Dr Albers is consultant for Genentech, and ownership interest and consultant on the advisory board for iSchema View. Dr Schafer is employee of Siemens Healthineers. The other authors report no conflicts.
Sources of Funding
This study has been funded by an investigator-initiated grant from iSchemaView.
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- Recanalization Does Not Always Equate to Reperfusion: No-Reflow Phenomenon After Successful Thrombectomy, Stroke, 56, 1, (183-189), (2024)./doi/10.1161/STROKEAHA.124.048994
- Flat-panel Detector Perfusion Imaging and Conventional Multidetector Perfusion Imaging in Patients with Acute Ischemic Stroke, Clinical Neuroradiology, 34, 3, (625-635), (2024).https://doi.org/10.1007/s00062-024-01401-7
- Intravenous Thrombolysis before Complete Angiographic Reperfusion: Beyond Angiographic Assessment to Target Microvascular Obstruction?, Annals of Neurology, 95, 4, (762-773), (2024).https://doi.org/10.1002/ana.26867
- Effect of incomplete reperfusion patterns on clinical outcome: insights from the ESCAPE-NA1 trial, Journal of NeuroInterventional Surgery, 16, 8, (809-814), (2023).https://doi.org/10.1136/jnis-2023-020553
- The Benefit of a Complete over a Successful Reperfusion Decreases with Time, Annals of Neurology, 93, 5, (934-941), (2023).https://doi.org/10.1002/ana.26599
- Effective Dose Measurements of the Latest-Generation Angiographic System in Patients with Acute Stroke: A Comparison with the Newest Multidetector CT Generation, American Journal of Neuroradiology, 43, 11, (1621-1626), (2022).https://doi.org/10.3174/ajnr.A7658
- Correlation of Collateral Scores Derived from Whole-Brain Time-Resolved Flat Panel Detector Imaging in Acute Ischemic Stroke, American Journal of Neuroradiology, 43, 11, (1627-1632), (2022).https://doi.org/10.3174/ajnr.A7657
- Direct to angiosuite strategy versus standard workflow triage for endovascular therapy: systematic review and meta-analysis, Journal of NeuroInterventional Surgery, 15, e1, (e17-e25), (2022).https://doi.org/10.1136/neurintsurg-2022-018895
- Evaluation of time-resolved whole brain flat panel detector perfusion imaging using RAPID ANGIO in patients with acute stroke: comparison with CT perfusion imaging, Journal of NeuroInterventional Surgery, 15, 4, (387-392), (2022).https://doi.org/10.1136/neurintsurg-2021-018464
- Angiography suite cone‐beam CT perfusion for selection of thrombectomy patients: A pilot study, Journal of Neuroimaging, 32, 3, (493-501), (2022).https://doi.org/10.1111/jon.12988
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