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image of CT Perfusion Metrics as Indicators of Intracranial Atherosclerotic Stenosis in Acute Ischemic Stroke: A Clinical Analysis.

Abstract

Background

Intracranial Atherosclerotic Stenosis (ICAS) is a prevalent etiology of acute ischemic stroke (AIS), leading to significant morbidity and mortality. The accurate diagnosis and treatment of ICAS-induced AIS are critical to improving outcomes. This study assesses the application of Computed Tomography Perfusion (CTP) in predicting ICAS in AIS patients and its potential impact on patient management.

Methods

A retrospective analysis was conducted on 224 AIS patients who underwent endovascular therapy (EVT) at one single Chinese Stroke Center between April 2022 and December 2023. Clinical and radiological data were collected, including patients’ demographics, CTP parameters, and 90-day modified Rankin Scale (mRS) scores. Logistic regression and receiver operating characteristic (ROC) curves evaluated the predictive power of CTP parameters for ICAS.

Results

CTP analysis revealed significant differences in perfusion parameters between ICAS-induced AIS and other etiologies. ICAS patients had a smaller ischemic volume on admission and higher mismatch ratios [Time to Maximum, Tmax>6s: Other Causes: 132.4 [70.5, 183.3] mL, ICAS: 96.3 [79.8, 107.3] mL, P=0.0064; relative cerebral blood flow, rCBF<30%: Other Causes: 2.4 [0.0, 10.8] mL, ICAS: 0.6 [0.0, 7.0] mL, =0.0145; mismatch ratio: 7.4 [2.5, 15.0], ICAS: 11.0 [4.6, 17.8], =0.0285], indicating more salvageable brain tissue. The 90-day mRS showed better functional outcomes in the ICAS group, with a higher likelihood of minimal to no disability [mRS 90 equals 0-1: ICAS: 53.0% vs. Other Causes: 36.3%, =0.0122]. The predictive model for ICAS, combining clinical manifestations and CTP parameters, yielded an area under the curve (AUC) of 0.7779, demonstrating good diagnostic performance.

Conclusion

CTP is a valuable diagnostic tool for ICAS-induced AIS, offering the potential for early identification and informing the decision for endovascular treatment. The positive correlation between CTP findings and patient outcomes supports its utility in clinical practice.

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2024-12-26
2025-01-23
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References

  1. Saini V. Guada L. Yavagal D.R. Global epidemiology of stroke and access to acute ischemic stroke interventions. Neurology 2021 97 20_Supplement_2 Suppl. 2 S6 S16 10.1212/WNL.0000000000012781 34785599
    [Google Scholar]
  2. Banerjee C. Chimowitz M.I. Stroke caused by atherosclerosis of the major intracranial arteries. Circ. Res. 2017 120 3 502 513 10.1161/CIRCRESAHA.116.308441 28154100
    [Google Scholar]
  3. Bang O.Y. Intracranial atherosclerosis: Current understanding and perspectives. J. Stroke 2014 16 1 27 35 10.5853/jos.2014.16.1.27 24741562
    [Google Scholar]
  4. Lin L. Bivard A. Parsons M.W. Perfusion patterns of ischemic stroke on computed tomography perfusion. J. Stroke 2013 15 3 164 173 10.5853/jos.2013.15.3.164 24396810
    [Google Scholar]
  5. Jadhav A.P. Goyal M. Ospel J. Campbell B.C. Majoie C.B.L.M. Dippel D.W. White P. Bracard S. Guillemin F. Davalos A. Hill M.D. Demchuk A.M. Brown S. Saver J.L. Muir K.W. Mitchell P. Desai S.M. Jovin T.G. Thrombectomy with and without computed tomography perfusion imaging in the early time window: A pooled analysis of patient-level data. Stroke 2022 53 4 1348 1353 10.1161/STROKEAHA.121.034331 34844423
    [Google Scholar]
  6. Kameda K. Uno J. Otsuji R. Ren N. Nagaoka S. Maeda K. Ikai Y. Gi H. Optimal thresholds for ischemic penumbra predicted by computed tomography perfusion in patients with acute ischemic stroke treated with mechanical thrombectomy. J. Neurointerv. Surg. 2018 10 3 279 284 10.1136/neurintsurg‑2017‑013083 28600481
    [Google Scholar]
  7. Psychogios M. Brehm A. López-Cancio E. Marco De Marchis G. Meseguer E. Katsanos A.H. Kremer C. Sporns P. Zedde M. Kobayashi A. Caroff J. Bos D. Lémeret S. Lal A. Arenillas J.F. European Stroke Organisation guidelines on treatment of patients with intracranial atherosclerotic disease. Eur. Stroke J. 2022 7 3 XLII LXXX 10.1177/23969873221099715 36082254
    [Google Scholar]
  8. Feigin V.L. Brainin M. Norrving B. Martins S. Sacco R.L. Hacke W. Fisher M. Pandian J. Lindsay P. World Stroke Organization (WSO): Global stroke fact sheet 2022. Int. J. Stroke 2022 17 1 18 29 10.1177/17474930211065917 34986727
    [Google Scholar]
  9. Li H. Zhang Y. Zhang L. Li Z. Xing P. Zhang Y. Hong B. Yang P. Liu J. Endovascular treatment of acute ischemic stroke due to intracranial atherosclerotic large vessel occlusion: A systematic review. Clin. Neuroradiol. 2020 30 4 777 787 10.1007/s00062‑019‑00839‑4 31616958
    [Google Scholar]
  10. Campbell B.C.V. Mitchell P.J. Kleinig T.J. Dewey H.M. Churilov L. Yassi N. Yan B. Dowling R.J. Parsons M.W. Oxley T.J. Wu T.Y. Brooks M. Simpson M.A. Miteff F. Levi C.R. Krause M. Harrington T.J. Faulder K.C. Steinfort B.S. Priglinger M. Ang T. Scroop R. Barber P.A. McGuinness B. Wijeratne T. Phan T.G. Chong W. Chandra R.V. Bladin C.F. Badve M. Rice H. de Villiers L. Ma H. Desmond P.M. Donnan G.A. Davis S.M. Endovascular therapy for ischemic stroke with perfusion-imaging selection. N. Engl. J. Med. 2015 372 11 1009 1018 10.1056/NEJMoa1414792 25671797
    [Google Scholar]
  11. Huo X. Ma G. Tong X. Zhang X. Pan Y. Nguyen T.N. Yuan G. Han H. Chen W. Wei M. Zhang J. Zhou Z. Yao X. Wang G. Song W. Cai X. Nan G. Li D. Wang A.Y.C. Ling W. Cai C. Wen C. Wang E. Zhang L. Jiang C. Liu Y. Liao G. Chen X. Li T. Liu S. Li J. Gao F. Ma N. Mo D. Song L. Sun X. Li X. Deng Y. Luo G. Lv M. He H. Liu A. Zhang J. Mu S. Liu L. Jing J. Nie X. Ding Z. Du W. Zhao X. Yang P. Liu L. Wang Y. Liebeskind D.S. Pereira V.M. Ren Z. Wang Y. Miao Z. Trial of endovascular therapy for acute ischemic stroke with large infarct. N. Engl. J. Med. 2023 388 14 1272 1283 10.1056/NEJMoa2213379 36762852
    [Google Scholar]
  12. Albers G.W. Marks M.P. Kemp S. Christensen S. Tsai J.P. Ortega-Gutierrez S. McTaggart R.A. Torbey M.T. Kim-Tenser M. Leslie-Mazwi T. Sarraj A. Kasner S.E. Ansari S.A. Yeatts S.D. Hamilton S. Mlynash M. Heit J.J. Zaharchuk G. Kim S. Carrozzella J. Palesch Y.Y. Demchuk A.M. Bammer R. Lavori P.W. Broderick J.P. Lansberg M.G. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N. Engl. J. Med. 2018 378 8 708 718 10.1056/NEJMoa1713973 29364767
    [Google Scholar]
  13. Kniep H. Meyer L. Broocks G. Bechstein M. Guerreiro H. Winkelmeier L. Brekenfeld C. Flottmann F. Deb-Chatterji M. Alegiani A. Hanning U. Thomalla G. Fiehler J. Gellißen S. Röther J. Eckert B. Braun M. Hamann G.F. Siebert E. Nolte C. Zweynert S. Bohner G. Berrouschot J. Bormann A. Kraemer C. Leischner H. Hattingen J. Petersen M. Stögbauer F. Boeckh-Behrens Wunderlich S. Ludolph A. Henn K-H. Gerloff C. Fiehler J. Thomalla G. Alegiani A. Schell M. Reich A. Nikoubashman O. Dorn F. Petzold G. Liman J. Schäfer J.H. Keil F. Gröschel K. Uphaus T. Schellinger P. Borggrefe J. Tiedt S. Kellert L. Trumm C. Ernemann U. Poli S. Riedel C. Ernst M.S. Predictors of functional outcome after thrombectomy for M2 occlusions: A large scale experience from clinical practice. Sci. Rep. 2023 13 1 18740 10.1038/s41598‑023‑45232‑x 37907482
    [Google Scholar]
  14. Abbas R. Herial N.A. Naamani K.E. Sweid A. Weinberg J.H. Habashy K.J. Tjoumakaris S. Gooch M.R. Rosenwasser R.H. Jabbour P. Mechanical thrombectomy in patients presenting with NIHSS score< 6: A safety and efficacy analysis. J. Stroke Cerebrovasc. Dis. 2022 31 3 106282 10.1016/j.jstrokecerebrovasdis.2021.106282 34998043
    [Google Scholar]
  15. Chen X. Lin S. Zhang X. Hu S. Wang X. Prognosis with non-contrast CT and CT Perfusion imaging in thrombolysis-treated acute ischemic stroke. Eur. J. Radiol. 2022 149 110217 10.1016/j.ejrad.2022.110217 35183901
    [Google Scholar]
  16. Eckert B. Küsel T. Leppien A. Michels P. Müller-Jensen A. Fiehler J. Clinical outcome and imaging follow-up in acute stroke patients with normal perfusion CT and normal CT angiography. Neuroradiology 2011 53 2 79 88 10.1007/s00234‑010‑0702‑9 20422406
    [Google Scholar]
  17. Sharobeam A. Churilov L. Parsons M. Donnan G.A. Davis S.M. Yan B. Patterns of infarction on MRI in patients with acute ischemic stroke and cardio-embolism: A systematic review and meta-analysis. Front. Neurol. 2020 11 606521 10.3389/fneur.2020.606521 33363511
    [Google Scholar]
  18. Chen L.H. Spagnolo-Allende A. Yang D. Qiao Y. Gutierrez J. Epidemiology, pathophysiology, and imaging of atherosclerotic intracranial disease. Stroke 2024 55 2 311 323 10.1161/STROKEAHA.123.043630 38252756
    [Google Scholar]
  19. Sanchez S. Mossa-Basha M. Anagnostakou V. Liebeskind D.S. Samaniego E.A. Comprehensive imaging analysis of intracranial atherosclerosis. J Neurointerv Surg. 2024 10.1136/jnis‑2023‑020622 38719445
    [Google Scholar]
  20. Ma X. Yan P. Ju J. Yang Z. Wang W. Wang Q. Liu X. Xia Z. Sun Q. Vessel wall MRI characteristics associated with intraprocedural stent thrombosis during angioplasty for intracranial atherosclerotic stenosis. J Neurointerv Surg. 2024 16 12 1348 1352 10.1136/jnis‑2023‑020941 37989580
    [Google Scholar]
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