2021
DOI: 10.1002/jor.25201
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Applying deep learning to quantify empty lacunae in histologic sections of osteonecrosis of the femoral head

Abstract: Osteonecrosis of the femoral head (ONFH) is a disease in which inadequate blood supply to the subchondral bone causes the death of cells in the bone marrow. Decalcified histology and assessment of the percentage of empty lacunae are used to quantify the severity of ONFH. However, the current clinical practice of manually counting cells is a tedious and inefficient process. We utilized the power of artificial intelligence by training an established deep convolutional neural network framework, Faster‐RCNN, to au… Show more

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Cited by 4 publications
(3 citation statements)
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“…Considering the potential effects of DBR in vitro , its effects in a SIONFH rat model were further explored. Previous study has indicated that glucocorticoid treatment can lead to an increase in bone cell death and result in an elevated number of empty osteocyte lacunae ( Lui et al, 2022 ). In this study, the rat model was effective in representing the steroid-induced alterations of ROS and osteoclasts before the femoral head collapse in the early-stage SIONFH.…”
Section: Discussionmentioning
confidence: 99%
“…Considering the potential effects of DBR in vitro , its effects in a SIONFH rat model were further explored. Previous study has indicated that glucocorticoid treatment can lead to an increase in bone cell death and result in an elevated number of empty osteocyte lacunae ( Lui et al, 2022 ). In this study, the rat model was effective in representing the steroid-induced alterations of ROS and osteoclasts before the femoral head collapse in the early-stage SIONFH.…”
Section: Discussionmentioning
confidence: 99%
“…The seven fields were four fields of the subchondral area and three fields around the tunnel (Figure S2 A–C). The tissue meeting the following two requirements was determined to contain an osteonecrotic lesion; the presence of empty lacunae and pyknotic nuclei of osteocytes, 25,26,36 We have established a platform for automated cell counting that automatically categorizes and counts healthy osteocytes, pyknotic osteocytes, and empty lacunae using artificial intelligence and convolutional neural networks 37 …”
Section: Methodsmentioning
confidence: 99%
“…Artificial intelligence has been received with enthusiasm and optimism because of its potential to automate medical processes generally handled by humans, particularly processes in image classification. 4,5 In the future, every medical discipline is expected to be affected by artificial intelligence, including orthopedic surgery, despite thus far only having a theoretical basis in certain fields, such as radiology and pathology.…”
Section: Introductionmentioning
confidence: 99%