Case Report
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Med Imaging. Jun 28, 2020; 1(1): 65-69
Published online Jun 28, 2020. doi: 10.35711/aimi.v1.i1.65
Cerebral amyloid angiopathy vs Alzheimer’s dementia: Diagnostic conundrum
Jamie Arberry, Sarneet Singh, Ruth Akiyo Mizoguchi
Jamie Arberry, Sarneet Singh, Ruth Akiyo Mizoguchi, Chelsea and Westminster Hospital, London SW10 9NH, United Kingdom
Author contributions: Arberry J and Mizoguchi RA were the patient’s physicians, Arberry J and Singh S reviewed the literature and drafted the manuscript; all authors were responsible for the revision of the manuscript and issued final approval for the version to be submitted.
Informed consent statement: Informed written consent was obtained from the patient.
Conflict-of-interest statement: No conflict of interest.
CARE Checklist (2016) statement: The authors have read the CARE Checklist (2016), and the manuscript was prepared and revised according to the CARE Checklist (2016).
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
Corresponding author: Jamie Arberry, BM BCh, Doctor, Chelsea and Westminster Hospital, 369 Fulham Palace Road, London SW10 9NH, United Kingdom.
Received: March 17, 2020
Peer-review started: March 17, 2020
First decision: June 5, 2020
Revised: June 15, 2020
Accepted: June 18, 2020
Article in press: June 18, 2020
Published online: June 28, 2020
Core Tip

Core tip: This case represents the complexities of diagnosing dementia subtypes with an unusual presentation for what is likely Alzheimer’s dementia, rather than cerebral amyloid angiopathy as per initial magnetic resonance imaging brain. In such cases, imaging can potentially influence the diagnostic accuracy, which might ultimately result in misdiagnosis and hence alter the management plan. We argue that artificial intelligence and image automation could avoid such diagnostic oversights.