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CT Perfusion Derived rCBV < 42% Lesion Volume Is Independently Associated with Followup FLAIR Infarct Volume in Anterior Circulation Large Vessel Occlusion.
Lakhani, Dhairya A; Balar, Aneri B; Salim, Hamza; Koneru, Manisha; Wen, Sijin; Ozkara, Burak; Lu, Hanzhang; Wang, Richard; Hoseinyazdi, Meisam; Xu, Risheng; Nabi, Mehreen; Mazumdar, Ishan; Cho, Andrew; Chen, Kevin; Sepehri, Sadra; Hyson, Nathan; Urrutia, Victor; Luna, Licia; Hillis, Argye E; Heit, Jeremy J; Albers, Greg W; Rai, Ansaar T; Dmytriw, Adam A; Faizy, Tobias D; Wintermark, Max; Nael, Kambiz; Yedavalli, Vivek S.
Afiliación
  • Lakhani DA; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Balar AB; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Salim H; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Koneru M; Cooper Medical School, Rowan University, Camden, NJ 08103, USA.
  • Wen S; Department of Biostatistics, West Virginia University, Morgantown, WV 26506, USA.
  • Ozkara B; Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Lu H; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Wang R; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Hoseinyazdi M; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Xu R; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Nabi M; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Mazumdar I; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Cho A; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Chen K; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Sepehri S; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Hyson N; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Urrutia V; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Luna L; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
  • Hillis AE; Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Heit JJ; Department of Neurology, Stanford University, Stanford, CA 94305, USA.
  • Albers GW; Department of Neurology, Stanford University, Stanford, CA 94305, USA.
  • Rai AT; Department of Neuroradiology, West Virginia University, Morgantown, WV 26506, USA.
  • Dmytriw AA; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
  • Faizy TD; Department of Radiology, Neuroendovascular Division, University Medical Center Münster, 48149 Münster, Germany.
  • Wintermark M; Department of Neuroradiology, MD Anderson Medical Center, Houston, TX 77030, USA.
  • Nael K; Division of Neuroradiology, Department of Radiology, University of California San Francisco (UCSF), San Francisco, CA 94143, USA.
  • Yedavalli VS; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
Diagnostics (Basel) ; 14(8)2024 Apr 19.
Article en En | MEDLINE | ID: mdl-38667490
ABSTRACT
Pretreatment CT Perfusion (CTP) parameter rCBV < 42% lesion volume has recently been shown to predict 90-day mRS. In this study, we aim to assess the relationship between rCBV < 42% and a radiographic follow-up infarct volume delineated on FLAIR images. In this retrospective evaluation of our prospectively collected database, we included acute stroke patients triaged by multimodal CT imaging, including CT angiography and perfusion imaging, with confirmed anterior circulation large vessel occlusion between 9 January 2017 and 10 January 2023. Follow-up FLAIR imaging was used to determine the final infarct volume. Student t, Mann-Whitney-U, and Chi-Square tests were used to assess differences. Spearman's rank correlation and linear regression analysis were used to assess associations between rCBV < 42% and follow-up infarct volume on FLAIR. In total, 158 patients (median age 68 years, 52.5% female) met our inclusion criteria. rCBV < 42% (ρ = 0.56, p < 0.001) significantly correlated with follow-up-FLAIR infarct volume. On multivariable linear regression analysis, rCBV < 42% lesion volume (beta = 0.60, p < 0.001), ASPECTS (beta = -0.214, p < 0.01), mTICI (beta = -0.277, p < 0.001), and diabetes (beta = 0.16, p < 0.05) were independently associated with follow-up infarct volume. The rCBV < 42% lesion volume is independently associated with FLAIR follow-up infarct volume.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article