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2 European Journal of Clinical and Experimental Medicine

2 2024

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Comparison of algorithms for detection of active inflammatory lesions in sacroiliitis

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Gawłowski I. , Ożga J. , Raczko A.

nr 1

188-193

Introduction. Artificial intelligence is increasingly being used in the medicine, particularly in radiological diagnosis of diseases such as an axial spondyloarthritis (axSpA). The aim of this study is to compare the available algorithms designed to detect active sacroiliitis in patients with axSpA. Material and methods. Four algorithms, two semi-automated and two full-automated for the assessment of bone marrow edema (BME) on magnetic resonance imaging (MRI) of the sacroiliac joints (SIJs) were included in the study. They were described and compared in terms of specificity, sensitivity, and correlation of BME detection findings between AI and experts. Analysis of the literature. Among all automated algorithms, the one created by Bressem et al. had the highest number of examinations analyzed in the study, involving 593 MRIs of SIJs. The sensitivity and specificity, as well as the correlation between the AI’s detection of BME versus manual, were not calculated for each algorithm. Rzecki’s algorithm had the greatest sensitivity and specificity for BME detection reaching 0.95 and 0.96, respectively. In addition, its Speraman’s coefficient of correlation between manual and automated measurements was 0.866. Conclusion. Each of described algorithms is certainly useful in assessing BME in the MRI examinations of SIJs.

Characteristics of patients with cerebral aneurysms and arteriovenous malformations

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Ożga J. , Skiba M. , Sztuczka S. , Wyka M.

nr 2

286-291

Introduction and aim. Aneurysms and arteriovenous malformations (AVMs) are both vascular abnormalities that can occur simultaneously or separately and increase the risk of intracerebral hemorrhage. The aim of this research was to characterize patients with intracranial aneurysms and AVMs. Material and methods. This retrospective research was based on analysis of Digital Subtraction Angiography. The research group consisted of 118 patients. StatSoft STATISTICA 13 was used for the statistical analysis of parameters, such as dimensions and vascularization pattern of vascular abnormalities. Results. The total number of aneurysms described was 168. In addition, 33 patients with cerebral aneurysms were also diagnosed with cerebral AVMs. The average dimensions of the aneurysms were 6.33mm, 95% CI (5.47 7.18) × 4.76mm, 95% CI (4.09, 5.43). The abnormalities were found in the extent of circulation of ACA (anterior cerebral artery) 50 (29.76%), ICA (internal carotid artery) 48 (28.57%), MCA (middle cerebral artery) 26 (15.48%), PCA (posterior cerebral artery) 23 (13.69%). There were 76 (64%) patients with diagnosed single aneurysms and 42 (36%) with multiple. Conclusion. Aneurysms are more likely to occur singly than multiply. The majority are located within the vascularization of the ACA. Aneurysms can coexist with AVMs, which increases the risk of rupture.