https://common-api.mycvns.com/index.php/journal <p><strong>Cardiovascular, Neurovascular &amp; Stroke (</strong>CVNS) Journal is an open-access, multidisciplinary, peer-reviewed medical journal for cardiovascular, neurovascular, as well as stroke medicine. We accept and publish articles that revolves around these specialties including the new trends in image-guided therapy (IGT). </p> <p><strong>Digital Archive</strong><br />The articles published in the CVNS will be assigned with digital object identifier (DOI). </p> <hr style="border-width: 1px 1px 0; border-style: solid; border-color: #dddedc; width: 100%; margin-left: auto; margin-right: auto;" /> en-US [email protected] (Mohamad Syafeeq Faeez Md Noh) [email protected] (Mohamad Zulfadhli) Tue, 31 Mar 2026 15:43:06 +0000 OJS 3.3.0.14 http://blogs.law.harvard.edu/tech/rss 60 https://common-api.mycvns.com/index.php/journal/article/view/191 <p>Stroke represents a critical health crisis, causing significant global mortality and long-term disability due to the obstruction of blood flow to the brain. Acute ischemic stroke treatment focuses on timely interventions such as tPA administration and mechanical thrombectomy, but the narrow time window and shortage of specialists pose challenges. Tele neurology has enhanced recovery rates by providing remote consultations, while artificial intelligence (AI) offers promising solutions to improve stroke management. AI and machine learning (ML) in stroke care analyze complex brain imaging data, aiding in diagnosis and treatment planning through supervised and unsupervised learning methods. Despite challenges like the need for large datasets and algorithm complexity, AI's integration has shown high accuracy in early ischemic changes detection, exemplified by the computer-assisted ASPECTS. This retrospective study evaluated the efficacy of AI in detecting intracranial bleed, large vessel occlusion , and ASPECT scores in stroke patients. AI demonstrated perfect sensitivity in identifying ICH and LVO, with high specificity and negative predictive value, though radiologist confirmation is essential to address false positives. The study underscores AI's potential to improve diagnostic accuracy and patient outcomes in stroke care, highlighting its reliability in extreme ASPECT score categories and variability in intermediate scores, necessitating continued radiologist involvement.</p> Dr Ummarah Kamran, Dr Shadab Kanwal, Dr Misbah Durrani, Dr Anum Yousaf, Dr Fawad Tahir, Dr Adeel ur Rehman, Dr Waleed Abassi Copyright (c) 2026 https://creativecommons.org/licenses/by-sa/4.0 https://common-api.mycvns.com/index.php/journal/article/view/191 Tue, 31 Mar 2026 00:00:00 +0000 https://common-api.mycvns.com/index.php/journal/article/view/204 <p>Coronary artery anomalies are uncommon and are frequently detected incidentally during coronary angiography or computed tomography coronary angiography (CTCA). Congenital coronary ostial stenosis or atresia and single coronary artery are particularly rare entities and may pose a diagnostic dilemma because of overlapping imaging features. We report a case of a 74-year-old woman who presented with intermittent, non-exertional chest tightness and underwent CTCA for pre-operative cardiac assessment. Imaging demonstrated an atretic right coronary artery with non-visualisation of its distal segment. The left circumflex artery was dominant and continued along the left atrioventricular groove into the right atrioventricular groove, supplying the right coronary artery territory. Mild non-obstructive atherosclerotic plaques were present in the left anterior descending and left circumflex arteries. No significant myocardial ischemia or structural cardiac abnormality was identified. This case highlights the challenge of differentiating a single coronary artery variant from congenital or acquired right coronary ostial atresia on CTCA. Recognition of key anatomical features is essential, as accurate classification has important implications for prognosis and clinical management. CTCA provides excellent spatial resolution for non-invasive evaluation of coronary artery anomalies, allowing precise anatomical delineation. Given the patient’s mild symptoms and absence of significant coronary obstruction, conservative medical management was adopted.</p> NURUL AMIRA MOHAMED Copyright (c) 2026 https://creativecommons.org/licenses/by-sa/4.0 https://common-api.mycvns.com/index.php/journal/article/view/204 Tue, 31 Mar 2026 00:00:00 +0000