A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms

A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms

Shier Khee Saw, Syaiful Azzam Sopandi, Rosnelifaizur bin Ramely, Chow Khuen Chan, Michael Pak Kai Wong, Shier Nee Saw
DOI: 10.4018/978-1-7998-9201-4.ch005
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Abstract

Abdominal aorta aneurysm (AAA) is defined as an abnormal dilatation of the aorta at least 50% more than the adjacent normal vessel diameter. AAA is usually asymptomatic until complications occur such as aorta dissection and ruptured AAA, which has a direct relationship with the size of the aneurysm. Early detection with early intervention of AAA reduces the mortality rate related to rupture. In the era of digitalization, medical data such as electronic medical record, ultrasound images, and physical measurements are available for analysis. Furthermore, with the advancement of artificial intelligence (AI) technologies, numerous AI models have been proposed and shown to improve AAA diagnosis and prognostication. AI technologies, with no doubt, possess an infinite potential to improve the services of healthcare providers. Hence, this chapter targets the audience from all professions: clinicians, radiologists, and computer scientists. This chapter aims to close the gap between the medical profession and computer scientists and thus to design an AI model that can be clinically used.
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Abdominal Aorta Aneurysm Risk Factors

Risk factors such as age, gender, hypertension, dyslipidaemia, coronary arterial disease (CAD), smoking and family history of AAA are associated with AAA. The following paragraph discussed the findings related to each risk factor.

According to the report from the Hospital Kuala Lumpur, which is the capital city of Malaysia, the median age group of AAA is 69 years old, which 87.9% of the cohort is 60 years old and above (Zainal & Yusha, 1998). In the state of Sarawak, which is located at the east of Malaysia, the median age group of AAA is slightly higher, 70 years old but the incident rate of AAA rises significantly if patient is 70 years old and above (Yii, 2003). It was also reported that progressive increase in abdominal aorta diameter occurs with advancing age (Dixon et al., 1984). Guidelines have been in placed to manage AAA patients. For example, NICE guidelines recommended that above 66 years old with certain risk factors should be subjected for AAA screening (Powell & Wanhainen, 2020) and Society Vascular Surgery recommends that age between 65 and 75 years with a history of smoking or healthy patients older than 75 years old should undergo AAA screening (Chaikof et al., 2018).

Gender, in fact, plays a role in affecting the AAA risk. Epidemiologic studies show that male, in fact, suffers 4-6 times more frequent in developing AAA (Mladenovic et al., 2012). Similar findings are also found in Zainal et al. study, where 84.7% of their study cohorts re male (Zainal & Yusha, 1998) and Ming Kon Yii’s study, where male to female ratio of the AAA incidence is 3.5 to 1 in Sarawak (Yii, 2003).

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