Treatment of abdominal aortic aneurysms should be aggressive because less than 50% of untreated patients will be alive 3 years after diagnosis and most will die from ruptured aneurysm. In an effort to reduce the incidence of rupture, all abdominal aortic aneurysms should be excised unless the patient has a short life expectancy or very serious medical problems. In a series of 36 patients with ruptured abdominal aortic aneurysm the mortality was 42%. The main risk factors were blood loss, acute renal failure and major venous trauma. Multiple organ failure, which occurred in 8 of 15 patients often presents a therapeutic dilemma and worsens the prognosis.
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Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.
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Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran.
Background And Aim: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the investigation and treatment of patients with AAAs by swiftly and effectively collecting imaging data from health records. This meta-analysis aimed to evaluate the efficacy of NLP techniques in reliably identifying the existence or absence of AAAs and measuring the maximal abdominal aortic diameter in extensive datasets of radiology study reports.
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Eur Heart J Cardiovasc Imaging
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PULS/e group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Aims: Image-based, patient-specific rupture risk analysis of AAAs is promising but it is limited by invasive and costly imaging modalities. Ultrasound (US) offers a safe, more affordable alternative, allowing multiple assessments during follow-up and enabling longitudinal studies on AAA rupture risk.
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