Osteoid Metaplasia in Femoral Artery Plaques Is Associated With the Clinical Severity of Lower Extremity Artery Disease in Men

Show full item record




Laivuori , M , Tolva , J , Lokki , A I , Linder , N , Lundin , J , Paakkanen , R , Albäck , A , Venermo , M , Mäyränpää , M I , Lokki , M-L & Sinisalo , J 2020 , ' Osteoid Metaplasia in Femoral Artery Plaques Is Associated With the Clinical Severity of Lower Extremity Artery Disease in Men ' , Frontiers in cardiovascular medicine , vol. 7 , 594192 . https://doi.org/10.3389/fcvm.2020.594192

Title: Osteoid Metaplasia in Femoral Artery Plaques Is Associated With the Clinical Severity of Lower Extremity Artery Disease in Men
Author: Laivuori, Mirjami; Tolva, Johanna; Lokki, A. Inkeri; Linder, Nina; Lundin, Johan; Paakkanen, Riitta; Albäck, Anders; Venermo, Maarit; Mäyränpää, Mikko I.; Lokki, Marja-Liisa; Sinisalo, Juha
Contributor organization: HUS Abdominal Center
Verisuonikirurgian yksikkö
Helsinki University Hospital Area
University of Helsinki
Transplantation Laboratory
Department of Pathology
Kardiologian yksikkö
HUS Heart and Lung Center
TRIMM - Translational Immunology Research Program
Research Programs Unit
Institute for Molecular Medicine Finland
Helsinki Institute of Life Science HiLIFE
Johan Edvard Lundin / Principal Investigator
Department of Medicine
Date: 2020-12-10
Language: eng
Number of pages: 13
Belongs to series: Frontiers in cardiovascular medicine
ISSN: 2297-055X
DOI: https://doi.org/10.3389/fcvm.2020.594192
URI: http://hdl.handle.net/10138/324653
Abstract: Lamellar metaplastic bone, osteoid metaplasia (OM), is found in atherosclerotic plaques, especially in the femoral arteries. In the carotid arteries, OM has been documented to be associated with plaque stability. This study investigated the clinical impact of OM load in femoral artery plaques of patients with lower extremity artery disease (LEAD) by using a deep learning-based image analysis algorithm. Plaques from 90 patients undergoing endarterectomy of the common femoral artery were collected and analyzed. After decalcification and fixation, 4-μm-thick longitudinal sections were stained with hematoxylin and eosin, digitized, and uploaded as whole-slide images on a cloud-based platform. A deep learning-based image analysis algorithm was trained to analyze the area percentage of OM in whole-slide images. Clinical data were extracted from electronic patient records, and the association with OM was analyzed. Fifty-one (56.7%) sections had OM. Females with diabetes had a higher area percentage of OM than females without diabetes. In male patients, the area percentage of OM inversely correlated with toe pressure and was significantly associated with severe symptoms of LEAD including rest pain, ulcer, or gangrene. According to our results, OM is a typical feature of femoral artery plaques and can be quantified using a deep learning-based image analysis method. The association of OM load with clinical features of LEAD appears to differ between male and female patients, highlighting the need for a gender-specific approach in the study of the mechanisms of atherosclerotic disease. In addition, the role of plaque characteristics in the treatment of atherosclerotic lesions warrants further consideration in the future.
Subject: 3121 General medicine, internal medicine and other clinical medicine
lower extremity artery disease (LEAD)
osteoid metaplasia
machine learning
digital pathology
artificial intelligence
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
fcvm_07_594192.pdf 1.322Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record