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

Näytä kaikki kuvailutiedot




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

Julkaisun nimi: Osteoid Metaplasia in Femoral Artery Plaques Is Associated With the Clinical Severity of Lower Extremity Artery Disease in Men
Tekijä: 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
Tekijän organisaatio: 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
Päiväys: 2020-12-10
Kieli: eng
Sivumäärä: 13
Kuuluu julkaisusarjaan: Frontiers in cardiovascular medicine
ISSN: 2297-055X
DOI-tunniste: https://doi.org/10.3389/fcvm.2020.594192
URI: http://hdl.handle.net/10138/324653
Tiivistelmä: 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.
Avainsanat: 3121 General medicine, internal medicine and other clinical medicine
lower extremity artery disease (LEAD)
osteoid metaplasia
machine learning
digital pathology
artificial intelligence
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


Latausmäärä yhteensä: Ladataan...

Tiedosto(t) Koko Formaatti Näytä
fcvm_07_594192.pdf 1.322MB PDF Avaa tiedosto

Viite kuuluu kokoelmiin:

Näytä kaikki kuvailutiedot