The collateral map: prediction of lesion growth and penumbra after acute anterior circulation ischemic stroke.

Cerebrovascular disorders Collateral circulation Magnetic resonance angiography Magnetic resonance imaging Stroke

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
30 Aug 2023
Historique:
received: 26 03 2023
accepted: 15 07 2023
revised: 03 07 2023
pubmed: 30 8 2023
medline: 30 8 2023
entrez: 30 8 2023
Statut: aheadofprint

Résumé

This study evaluated the collateral map's ability to predict lesion growth and penumbra after acute anterior circulation ischemic strokes. This was a retrospective analysis of selected data from a prospectively collected database. The lesion growth ratio was the ratio of the follow-up lesion volume to the baseline lesion volume on diffusion-weighted imaging (DWI). The time-to-maximum (Tmax)/DWI ratio was the ratio of the baseline Tmax  > 6 s volume to the baseline lesion volume. The collateral ratio was the ratio of the hypoperfused lesion volume of the phase_FU (phase with the hypoperfused lesions most approximate to the follow-up DWI lesion) to the hypoperfused lesion volume of the phase_baseline of the collateral map. Multiple logistic regression analyses were conducted to identify independent predictors of lesion growth. The concordance correlation coefficients of Tmax/DWI ratio and collateral ratio for lesion growth ratio were analyzed. Fifty-two patients, including twenty-six males (mean age, 74 years), were included. Intermediate (OR, 1234.5; p < 0.001) and poor collateral perfusion grades (OR, 664.7; p = 0.006) were independently associated with lesion growth. Phase_FUs were immediately preceded phases of the phase_baselines in intermediate or poor collateral perfusion grades. The concordance correlation coefficients of the Tmax/DWI ratio and collateral ratio for the lesion growth ratio were 0.28 (95% CI, 0.17-0.38) and 0.88 (95% CI, 0.82-0.92), respectively. Precise prediction of lesion growth and penumbra can be possible using collateral maps, allowing for personalized application of recanalization treatments. Further studies are needed to generalize the findings of this study. Precise prediction of lesion growth and penumbra can be possible using collateral maps, allowing for personalized application of recanalization treatments. • Cell viability in cerebral ischemia due to proximal arterial steno-occlusion mainly depends on the collateral circulation. • The collateral map shows salvageable brain extent, which can survive by recanalization treatments after acute anterior circulation ischemic stroke. • Precise estimation of salvageable brain makes it possible to make patient-specific treatment decision.

Identifiants

pubmed: 37646808
doi: 10.1007/s00330-023-10084-6
pii: 10.1007/s00330-023-10084-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Research Foundation of Korea (NRF) grant from the Korean government
ID : NRF-2020R1F1A1071619
Organisme : National Research Foundation of Korea (NRF) grant from the Korean government
ID : RS-2023-00248375
Organisme : National Research Foundation of Korea (NRF) grant from the Korean government
ID : RS-2023-00252980

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jin Seok Yi (JS)

Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea.

Hee Jong Ki (HJ)

Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea.

Yoo Sung Jeon (YS)

Department of Neurosurgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.

Jeong Jin Park (JJ)

Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Department of Neurosurgery, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.

Taek-Jun Lee (TJ)

Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea.

Jin Tae Kwak (JT)

School of Electrical Engineering, Korea University, Seoul, Republic of Korea.

Sang Bong Lee (SB)

Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea.

Hyung Jin Lee (HJ)

Department of Neurosurgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea.

In Seong Kim (IS)

Siemens Healthineers Ltd., Seoul, Republic of Korea.

Joo Hyun Kim (JH)

Philips Healthcare Korea, Seoul, Republic of Korea.

Ji Sung Lee (JS)

Clinical Research Center, Asan Institute for Life Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Hong Gee Roh (HG)

Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, 120-1 Neungdong-Ro, Kwangjin-Gu, Seoul, 05030, Republic of Korea. hgroh@kuh.ac.kr.

Hyun Jeong Kim (HJ)

Department of Radiology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 64 Daeheung-Ro, Jung-Gu, Daejeon, 34943, Republic of Korea. mskendy429@gmail.com.

Classifications MeSH