Automated Estimation of Quantitative Lesion Water Uptake as a Prognostic Biomarker for Patients with Ischemic Stroke and Large-Vessel Occlusion

References

1. 1.↵
   1. Albers GW,
   2. Marks MP,
   3. Kemp S, et al

   ; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med 2018;378:708–18 doi:10.1056/NEJMoa1713973 pmid:29364767

   CrossRefPubMed
2. 2.↵
   1. Nogueira RG,
   2. Jadhav AP,
   3. Haussen DC, et al

   ; DAWN Trial Investigators. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med 2018;378:11–21 doi:10.1056/NEJMoa1706442 pmid:29129157

   CrossRefPubMed
3. 3.↵
   1. Powers WJ,
   2. Rabinstein AA,
   3. Ackerson T, et al

   ; American Heart Association Stroke Council. 2018 Guidelines for the Early Management of Patients with Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2018;49:e46–110 doi:10.1161/STR.0000000000000158 pmid:29367334

   Abstract/FREE Full Text
4. 4.↵
   1. Heit JJ,
   2. Wintermark M

   . Perfusion computed tomography for the evaluation of acute ischemic stroke: strengths and pitfalls. Stroke 2016;47:1153–58 doi:10.1161/STROKEAHA.116.011873 pmid:26965849

   FREE Full Text
5. 5.↵
   1. Vagal A,
   2. Wintermark M,
   3. Nael K, et al

   . Automated CT perfusion imaging for acute ischemic stroke: Pearls and pitfalls for real-world use. Neurology 2019;93:888–98 doi:10.1212/WNL.0000000000008481 pmid:31636160

   CrossRefPubMed
6. 6.↵
   1. Martins N,
   2. Aires A,
   3. Mendez B, et al

   . Ghost infarct core and admission computed tomography perfusion: redefining the role of neuroimaging in acute ischemic stroke. Interv Neurol 2018;7:513–21 doi:10.1159/000490117 pmid:30410531

   CrossRefPubMed
7. 7.↵
   1. Rotem SH,
   2. Mor S,
   3. Chen B, et al

   . Infarct core reliability by CT perfusion is a time-dependent phenomenon. J Neuroimaging 2020;30:240–45 doi:10.1111/jon.12692 pmid:32037630

   CrossRefPubMed
8. 8.↵
   1. Nguyen TN,
   2. Abdalkader M,
   3. Nagel S, et al

   . Noncontrast computed tomography vs computed tomography perfusion or magnetic resonance imaging selection in late presentation of stroke with large-vessel occlusion. JAMA Neurol 2022;79:22–31 doi:10.1001/jamaneurol.2021.4082 pmid:34747975

   CrossRefPubMed
9. 9.↵
   1. Nogueira RG,
   2. Haussen DC,
   3. Liebeskind D

   ; et al; Trevo Registry and DAWN Trial Investigators. Stroke imaging selection modality and endovascular therapy outcomes in the early and extended time windows. Stroke 2021;52:491–97 doi:10.1161/STROKEAHA.120.031685 pmid:33430634

   CrossRefPubMed
10. 10.↵
    1. Bouslama M,
    2. Haussen DC,
    3. Rodrigues G, et al

    . Novel selection paradigms for endovascular stroke treatment in the extended time window. J Neurol Neurosurg Psychiatry 2021;92:1152–57 doi:10.1136/jnnp-2020-325284 pmid:34117100

    Abstract/FREE Full Text
11. 11.↵
    1. Siegler JE,
    2. Messe SR,
    3. Sucharew H, et al

    . Noncontrast CT versus perfusion-based core estimation in large vessel occlusion: the blood pressure after endovascular stroke therapy study. J Neuroimaging 2020;30:219–26 doi:10.1111/jon.12682 pmid:31762108

    CrossRefPubMed
12. 12.↵
    1. Nawabi J,
    2. Flottmann F,
    3. Kemmling A, et al

    . Elevated early lesion water uptake in acute stroke predicts poor outcome despite successful recanalization: when “’tissue clock” and “time clock” are desynchronized. Int J Stroke 2021;16:863–72 doi:10.1177/1747493019884522 pmid:31657283

    CrossRefPubMed
13. 13.↵
    1. Broocks G,
    2. Flottmann F,
    3. Scheibel A, et al

    . Quantitative lesion water uptake in acute stroke computed tomography is a predictor of malignant infarction. Stroke 2018;49:1906–12 doi:10.1161/STROKEAHA.118.020507 pmid:29976584

    Abstract/FREE Full Text
14. 14.↵
    1. Shi J,
    2. Wu H,
    3. Dong Z, et al

    . Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema. Eur Radiol 2022;32:2771–80 doi:10.1007/s00330-021-08443-2 pmid:34989845

    CrossRefPubMed
15. 15.↵
    1. Nawabi J,
    2. Kniep H,
    3. Schon G, et al

    . Hemorrhage after endovascular recanalization in acute stroke: lesion extent, collaterals and degree of ischemic water uptake mediate tissue vulnerability. Front Neurol 2019;10:569 doi:10.3389/fneur.2019.00569 pmid:31214107

    CrossRefPubMed
16. 16.↵
    1. Broocks G,
    2. Hanning U,
    3. Flottmann F, et al

    . Clinical benefit of thrombectomy in stroke patients with low ASPECTS is mediated by oedema reduction. Brain 2019;142:1399–407 doi:10.1093/brain/awz057 pmid:30859191

    CrossRefPubMed
17. 17.↵
    1. Maegerlein C,
    2. Fischer J,
    3. Monch S, et al

    . Automated calculation of the alberta stroke program early CT score: feasibility and reliability. Radiology 2019;291:141–48 doi:10.1148/radiol.2019181228 pmid:30720400

    CrossRefPubMed
18. 18.↵
    1. Cheng X,
    2. Wu H,
    3. Shi J, et al

    . ASPECTS-based net water uptake as an imaging biomarker for lesion age in acute ischemic stroke. J Neurol 2021;268:4744–51 doi:10.1007/s00415-021-10584-9 pmid:33934213

    CrossRefPubMed
19. 19.↵
    1. Goyal M,
    2. Ospel JM,
    3. Menon B, et al

    . Challenging the ischemic core concept in acute ischemic stroke imaging. Stroke 2020;51:3147–55 doi:10.1161/STROKEAHA.120.030620 pmid:32933417

    CrossRefPubMed
20. 20.↵
    1. Boned S,
    2. Padroni M,
    3. Rubiera M, et al

    . Admission CT perfusion may overestimate initial infarct core: the ghost infarct core concept. J Neurointerv Surg 2017;9:66–69 doi:10.1136/neurintsurg-2016-012494 pmid:27566491

    Abstract/FREE Full Text
21. 21.↵
    1. Broocks G,
    2. Flottmann F,
    3. Ernst M, et al

    . Computed tomography-based imaging of voxel-wise lesion water uptake in ischemic brain: relationship between density and direct volumetry. Invest Radiol 2018;53:207–13 doi:10.1097/RLI.0000000000000430 pmid:29200013

    CrossRefPubMed
22. 22.↵
    1. Cheng X,
    2. Shi J,
    3. Wu H, et al

    . Review of net water uptake in the management of acute ischemic stroke. Eur Radiol 2022;32:5517–24 doi:10.1007/s00330-022-08658-x pmid:35278122

    CrossRefPubMed
23. 23.↵
    1. Nawabi J,
    2. Flottmann F,
    3. Hanning U, et al

    . Futile recanalization with poor clinical outcome is associated with increased edema volume after ischemic stroke. Invest Radiol 2019;54:282–87 doi:10.1097/RLI.0000000000000539 pmid:30562271

    CrossRefPubMed
24. 24.↵
    1. Broocks G,
    2. Hanning U,
    3. Faizy TD, et al

    . Ischemic lesion growth in acute stroke: Water uptake quantification distinguishes between edema and tissue infarct. J Cereb Blood Flow Metab 2020;40:823–32 doi:10.1177/0271678X19848505 pmid:31072174

    CrossRefPubMed
25. 25.↵
    1. Broocks G,
    2. Kemmling A,
    3. Teßarek S, et al

    . Quantitative lesion water uptake as stroke imaging biomarker: a tool for treatment selection in the extended time window? Stroke 2022;53:201–09 doi:10.1161/STROKEAHA.120.033025 pmid:34538082

    CrossRefPubMed
26. 26.↵
    1. Minnerup J,
    2. Broocks G,
    3. Kalkoffen J, et al

    . Computed tomography-based quantification of lesion water uptake identifies patients within 4.5 hours of stroke onset: a multicenter observational study. Ann Neurol 2016;80:924–34 doi:10.1002/ana.24818 pmid:28001316

    CrossRefPubMed
27. 27.↵
    1. Broocks G,
    2. Leischner H,
    3. Hanning U, et al

    . Lesion age imaging in acute stroke: water uptake in CT versus DWI-FLAIR mismatch. Ann Neurol 2020;88:1144–52 doi:10.1002/ana.25903 pmid:32939824

    CrossRefPubMed
28. 28.↵
    1. Broocks G,
    2. Elsayed S,
    3. Kniep H, et al

    . Early prediction of malignant cerebellar edema in posterior circulation stroke using quantitative lesion water uptake. Neurosurgery 2021;88:531–37 doi:10.1093/neuros/nyaa438 pmid:33040147

    CrossRefPubMed
29. 29.↵
    1. Nagel S,
    2. Herweh C,
    3. Pfaff JA, et al

    . Simplified selection criteria for patients with longer or unknown time to treatment predict good outcome after mechanical thrombectomy. J Neurointerv Surg 2019;11:559–62 doi:10.1136/neurintsurg-2018-014347 pmid:30368472

    Abstract/FREE Full Text
30. 30.↵
    1. Goyal M,
    2. Menon BK,
    3. van Zwam WH, et al

    ; HERMES Collaborators. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet 2016;387:1723–31 doi:10.1016/S0140-6736(16)00163-X pmid:26898852

    CrossRefPubMed
31. 31.↵
    1. Broocks G,
    2. Kniep H,
    3. Schramm P, et al

    . Patients with low Alberta Stroke Program Early CT Score (ASPECTS) but good collaterals benefit from endovascular recanalization. J Neurointerv Surg 2020;12:747–52 doi:10.1136/neurintsurg-2019-015308 pmid:31772043

    Abstract/FREE Full Text
32. 32.↵
    1. Deb-Chatterji M,
    2. Pinnschmidt H,
    3. Flottmann F, et al

    ; GSR-ET Investigators. Predictors of independent outcome of thrombectomy in stroke patients with large baseline infarcts in clinical practice: a multicenter analysis. J Neurointerv Surg 2020;12:1064–68 doi:10.1136/neurintsurg-2019-015641 pmid:32107288

    Abstract/FREE Full Text