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Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study

Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study

In the field of medical imaging, angiography is used to visualize vascular structures inside the body. This is typically performed by injecting a contrast substance into a patient and imaging the patient via x-ray, magnetic resonance, or computed tomography [1]. For 3 D x-ray, magnetic resonance, or computed tomography angiography (CTA), the result is a 3 D volumetric representation of the scanned patient’s vascular anatomy.

Andrey Titov, Simon Drouin, Marta Kersten-Oertel

JMIR Neurotech 2023;2:e45828

Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

Accuracy of Artificial Intelligence–Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study

Coronary angiography is a key step in defining the coronary anatomy and severity of coronary arterial stenosis [1]. Percent diameter stenosis (%DS) based on a 2 D image is usually used as evidence of ischemia or guidance for further physiology study [2]. Despite advances in intravascular imaging and physiology, coronary intervention is mostly performed based on coronary angiography alone [3]. Efforts have been made to analyze coronary angiography images quantitatively and objectively [4].

In Tae Moon, Sun-Hwa Kim, Jung Yeon Chin, Sung Hun Park, Chang-Hwan Yoon, Tae-Jin Youn, In-Ho Chae, Si-Hyuck Kang

JMIR Cardio 2023;7:e45299

Coronary Artery Computed Tomography Angiography for Preventing Cardio-Cerebrovascular Disease: Observational Cohort Study Using the Observational Health Data Sciences and Informatics’ Common Data Model

Coronary Artery Computed Tomography Angiography for Preventing Cardio-Cerebrovascular Disease: Observational Cohort Study Using the Observational Health Data Sciences and Informatics’ Common Data Model

Coronary artery computed tomography angiography (CCTA) detects calcification in the coronary arteries and can be used to detect asymptomatic but serious vascular disease. It allows for noninvasive and quick testing despite involving radiation exposure [3,4]. For these reasons, many studies have investigated the early detection of CVDs by using CCTA, which enables prompt treatment and results in better outcomes.

Woo Kyung Bae, Jihoon Cho, Seok Kim, Borham Kim, Hyunyoung Baek, Wongeun Song, Sooyoung Yoo

JMIR Med Inform 2022;10(10):e41503

The Association Between the Use of Low-Slice Computed Tomography Machines and Downstream Care: Comparative Study of 16-Slice and 64-Slice Computed Tomography Angiography

The Association Between the Use of Low-Slice Computed Tomography Machines and Downstream Care: Comparative Study of 16-Slice and 64-Slice Computed Tomography Angiography

Current evidence suggests that as CT technology advances, the potential to replace coronary angiography for the evaluation of coronary artery disease with CT scans increases [7]. If higher-quality CT imaging can reduce the use of angiography, it has the potential to improve the welfare of patients, as angiography can result in complications.

Adam C Powell, James W Long, Uday U Deshmukh, Jeffrey D Simmons

JMIR Form Res 2022;6(6):e32892