Objective: To methodically analyse the swirl sign and construct a scoring system to predict the risk of hematoma expansion (HE) after spontaneous intracerebral haemorrhage (sICH).
Methods: We analysed 231 of 683 sICH patients with swirl signs on baseline noncontrast CT (NCCT) images. The characteristics of the swirl sign were analysed, including the number, maximum diameter, shape, boundary, minimum CT value of the swirl sign, and the minimum distance from the swirl sign to the edge of the hematoma. In the development cohort, univariate and multivariate analyses were used to identify independent predictors of HE, and logistic regression analysis was used to construct the swirl sign score system. The swirl sign score system was verified in the validation cohort.
Results: The number and the minimum CT value of the swirl sign were independent predictors of HE. The swirl sign score system was constructed (2 points for the number of swirl signs >1 and 1 point for the minimum CT value ≤41 Hounsfield units). The area under the curve of the swirl sign score system in predicting HE was 0.773 and 0.770 in the development and validation groups, respectively.
Conclusions: The swirl sign score system is an easy-to-use radiological grading scale that requires only baseline NCCT images to effectively identify subjects at high risk of HE.
Advances In Knowledge: Our newly developed semiquantitative swirl sign score system greatly improves the ability of swirl sign to predict HE.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11186553 | PMC |
| http://dx.doi.org/10.1093/bjr/tqae090 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Unveiling the swirl sign: A radiologic-pathologic correlation in deep angiomyxoma.
Ann Diagn Pathol
November 2024
Department of Gynecology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
Deep angiomyxoma (DA) is a rare, slow-growing soft tissue tumor typically affecting women of reproductive age. Despite its benign histology, it poses significant clinical challenges due to local invasiveness and high recurrence. Accurate diagnosis through radiologic imaging, particularly MRI, is essential for guiding treatment.
View Article and Find Full Text PDFPredicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.
Neuroradiol J
November 2024
Radiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Article Synopsis
- Traumatic brain injury (TBI) is a major global health issue, and this study aims to identify factors that predict changes in epidural hematoma (EDH) volume and develop machine learning models for prediction.
- Data from TBI patients with traumatic EDH between 2019-2021 was analyzed using various machine learning models divided into three groups: all cases, adults, and pediatrics.
- Key factors influencing EDH volume changes were identified, and the most effective predictive models were discovered, with Random Forest being the best for adults (82.4% AUROC), KNN for pediatrics (90%), and Logistic Regression for all cases (81.6%), potentially helping clinicians with timely patient interventions.
Intracerebral Hemorrhage.
Cerebrovasc Dis Extra
December 2024
Stroke Center and Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Background: Compared to ischemic stroke, intracerebral hemorrhage (ICH) has higher mortality and more severe disability. Asian such as Chinese and Japanese and Mexican Americans, Latin Americans, African Americans, Native Americans has higher incidences than do white Americans. So, ICH is an important cerebrovascular disease in Asia.
View Article and Find Full Text PDFA Case of Internal Hernia Presenting 20 Years After Gastric Bypass.
Cureus
October 2024
Radiology, University of California, Davis, Sacramento, USA.
Although rare, internal hernias have an increased incidence of development in patients who have undergone Roux-en-Y gastric bypass. They are difficult to diagnose given their non-specific presentation and lack of externally visible findings, and most cases develop within a few months of the original procedure. In this case report, we present a patient with recent weight loss who developed an internal hernia decades post-bariatric surgery with computed tomography findings showing the classic "mesenteric swirl" sign.
View Article and Find Full Text PDFPrognostic value of computed tomography and magnetic resonance imaging findings in acute traumatic brain injury in prediction of poor neurological outcome and mortality: a systematic review and meta-analysis.
Neurosurg Rev
November 2024
Division of Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Traumatic brain injury (TBI) is a major cause of morbidity and mortality, impacting healthcare systems and economies. Early identification of poor outcomes is crucial for effective treatment. This systematic review assesses the prognostic value of computed tomography (CT) and magnetic resonance imaging (MRI) findings in predicting poor neurological outcomes and mortality in the acute phase of TBI.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!