Reliability of ABC/2 volumetric estimation in spontaneous intracerebral hemorrhage for hematoma expansion prediction scores.

9-point score ABC/2 BRAIN score Intracerebral hemorrhage hematoma expansion planimetry prediction

Journal

European stroke journal
ISSN: 2396-9881
Titre abrégé: Eur Stroke J
Pays: England
ID NLM: 101688446

Informations de publication

Date de publication:
30 Oct 2024
Historique:
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: aheadofprint

Résumé

Prediction scores for hematoma expansion in spontaneous intracerebral hemorrhage (ICH), such as the 9-point and BRAIN scores, were developed predominantly using planimetry to measure hematoma volume. In this study, we aim to investigate whether the ABC/2 formula, which is known to overestimate hematoma volume, can be reliably used as a substitute for planimetry in these prediction scores. A total of 429 patients from four hospitals were retrospectively enrolled. CT scan and clinical data at admission and follow-up CT scan were collected. The 9-point and BRAIN scores were calculated using hematoma volume from ABC/2 and planimetry. Hematoma expansion was assessed using hematoma volume from planimetry. The median hematoma volume measured by ABC/2 was 11.97 ml (interquartile range [IQR], 4.8-30.0), whereas the volume measured by planimetry was 11.70 ml (IQR, 4.9-26.6). The median measurement error between ABC/2 and planimetry was 0.30 ml (IQR, -0.72-2.87). ABC/2 overestimated hematoma volume in 244 patients (56.9%) compared to planimetry. In the 9-point score, the area under the curves (AUCs) for predicting hematoma expansion were 0.735 (95% confidence interval [CI], 0.675-0.796) with ABC/2 and 0.732 (95% CI, 0.672-0.793) with planimetry. In the BRAIN score, the AUCs were 0.753 (95% CI, 0.693-0.813) with ABC/2 and 0.745 (95% CI, 0.688-0.803) with planimetry. The 9-point and BRAIN scores using hematoma volume measured by ABC/2 and planimetry showed good performance in predicting hematoma expansion in ICH. ABC/2 volumetric estimation proved to be reliable for these scores.

Identifiants

pubmed: 39474681
doi: 10.1177/23969873241293572
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

23969873241293572

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Satoru Tanioka (S)

Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.

Orhun Utku Aydin (OU)

Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.

Adam Hilbert (A)

Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.

Yotaro Kitano (Y)

Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.

Fujimaro Ishida (F)

Department of Neurosurgery, Mie Chuo Medical Center, Tsu, Mie, Japan.

Kazuhiko Tsuda (K)

Department of Neurosurgery, Matsusaka Chuo General Hospital, Matsusaka, Mie, Japan.

Tomohiro Araki (T)

Department of Neurosurgery, Suzuka Kaisei Hospital, Suzuka, Mie, Japan.

Yoshinari Nakatsuka (Y)

Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.

Tetsushi Yago (T)

Department of Neurosurgery, Matsusaka Chuo General Hospital, Matsusaka, Mie, Japan.

Tomoyuki Kishimoto (T)

Department of Neurosurgery, Mie Chuo Medical Center, Tsu, Mie, Japan.

Munenari Ikezawa (M)

Department of Neurosurgery, Mie Chuo Medical Center, Tsu, Mie, Japan.

Hidenori Suzuki (H)

Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.

Dietmar Frey (D)

Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
Department of Neurosurgery, Charité Universitätsmedizin Berlin, Berlin, Germany.

Classifications MeSH