BoneFinder® has been used in a study on DXA-derived hip shape and its association with hip fractures. The results will be orally presented at the 24th World congress on osteoporosis, osteoarthritis and musculoskeletal diseases, to take place in April 2024 in London.
Katie Hughes from the University of Edinburgh has run a study on an independent dataset to compare the performance of BoneFinder®'s fully automated measurement of Reimer’s Migration Percentage to manual and assisted measurements methods. The results will be orally presented at the Annual Meeting of the British Society for Children's Orthopaedic Surgery (BSCOS) in March 2024 in Leeds.
We are delighted to report that our abstract on "Using AI to enhance efficiency and equality of hip surveillance in children with cerebral palsy" has been selected for one of the six Lightening Talks for the Health Data Research UK Conference 2024, to take place in Leeds in March 2024.
BoneFinder® has been used in a study to compare the prevalence of radiographic HOA and hip morphology between the predominantly White UK Biobank and exclusively Chinese Shanghai Changfeng cohorts, suggesting that prevalence is lower in Chinese compared with White individuals. The results have been published open access in Osteoarthritis and Cartilage.
BoneFinder® has been used in a study to examine the extent to which geometric parameters derived from dual-energy x-ray absorptiometry (DXA) scans in the UK Biobank study are related to hip osteoarthritis, suggesting that a greater femoral neck width and hip axis length were independently related to an increased risk of radiographic HOA, whereas a greater diameter of the femoral head appeared to be protective. The results have been published open access in Osteoarthritis and Cartilage.
The BoneFinder® team has been awarded a Researcher to Innovator (R2I) Innovation Enabling Award for their tool to automatically assess hip radiographs of children with Cerebral Palsy. The award will help progressing the tool towards clinical use.
BoneFinder® has been used in a number of studies to establish the relationship between bone shape and hip osteoarthritis across various datasets. The results of these studies will be presented in April 2023 at the 2023 Osteoarthritis Research Society International (OARSI) World Congress.
The abstracts will be made available on the BoneFinder® website following the event.
Recent results of our BoneFinder® study on analysing shape and texture features in normal appearing radiographs as predictors of subsequent Charcot foot have been chosen to be orally presented at the 9th International Symposium on the Diabetic Foot (ISDF 2023) in May 2023 in The Hague, Netherlands.
BoneFinder® has been used in a study on developing a novel polygenic risk score for femoral neck width to predict hip fracture. The results will be orally presented at the ECTS 2023 Congress in April 2023 in Liverpool.
The recent findings from our BoneFinder® study on automatically measuring paediatric hip radiographs in cases of cerebral palsy have been chosen to be orally presented at the Annual Meeting of the British Society for Children's Orthopaedic Surgery (BSCOS) in March 2023 in Southampton.
We are delighted to announce that BoneFinder® has been accepted for a demonstration at AI UK 2023, the UK’s national showcase of data science and artificial intelligence.
We will demonstrate how BoneFinder® can be used to assess osteoarthritic changes in hips and knees, plan orthodontic treatment, and monitor hip migration in children with cerebral palsy.
BoneFinder® has been used in a study on examining the genetic architecture of cam morphology (using alpha angle (AA) as a proxy measure), suggesting that hip shape modelling secondary to a genetic predisposition to hip osteoarthritis contributes to the well-established relationship between hip osteoarthritis and cam morphology in older adults. The results have been published open access in Arthritis & Rheumatology.
The BoneFinder® search model used in this study can be requested here.
The BoneFinder® team has been accepted to this year's Research to Innovator Programme to identify how to best apply their tool to automatically assess hip radiographs of children with Cerebral Palsy to address clinical needs.
The BoneFinder® team has been awarded a Wellcome Trust iTPA Access to Expertise Award to have a technical and regulatory strategy developed for implementing their automated radiographic assessment of children's hips into the Cerebral Palsy Integrated Pathway programme.
Recent results of our BoneFinder® study on developing a software system to automatically assess hip migration in children with Cerebral Palsy have been chosen to be orally presented at the AI in Orthopaedics conference in September 2022 in London. Our abstract was given an oral presentation as one of the top 8 submitted abstracts.
BoneFinder® has been used in a study on evaluating relationships between hip shape (as defined by a statistical shape model) and hip osteoarthritis (HOA) of different severities using UK Biobank DXA images, suggesting that cam morphology and acetabular dysplasia are features of severe HOA but unrelated to moderate disease HOA. The results have been published open access in the Journal of Bone and Mineral Research.
The BoneFinder® search model used in this study can be requested here.
BoneFinder® has been used in a study to automatically estimate acetabular index and Reimer's migration percentage from children's hip radiographs, suggesting good agreement between automatically obtained measurements and manual measurements by clinical experts.
The results of this study will be presented in September 2022 at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore.
The paper as well as the BoneFinder® search model used in this study will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study on investigating if individuals with high bone mass (HBM) have increased odds of prevalent cam morphology, suggesting that there is no association between HBM and cam morphology. The results have been published open access in BMC Musculoskeletal Disorders.
The BoneFinder® search model used in this study can be requested here.
BoneFinder® has been used in a study on exploring the relationship between radiographic hip shape and features of early hip osteoarthritis on magnetic resonance imaging (MRI), suggesting that several hip shape variants were associated with cartilage defects on MRI in young male football players. The results have been published open access in Osteoarthritis and Cartilage Open.
BoneFinder® has been applied to hip DXA images from UK Biobank to (i) study the genetic architecture of hip shape; (ii) establish whether a causal relationship exists between cam morphology and hip osteoarthritis; (iii) investigate the association between hip geometry and hip osteoarthritis; and (iv) describe the genetic architecture of minimum joint space width at the hip joint. The results of these studies will be presented in July 2022 at the 2022 Bone Research Society Annual Meeting.
The abstracts will be made available on the BoneFinder® website following the event.
BoneFinder® has been applied to hip DXA images from UK Biobank to (i) study the relationship between hip osteoarthritis and hip shape (incl. acetabular dysplasia and cam morphology); (ii) establish whether a causal relationship exists between cam morphology and hip osteoarthritis; and (iii) perform a genome-wide association study of DXA-derived minimum joint space width of the hip. The results of these studies will be presented in April 2022 at the 2022 Osteoarthritis Research Society International (OARSI) World Congress.
The abstracts will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study on developing a novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans, suggesting DXA scanning can be used to classify radiographic hip osteoarthritis in large DXA-based cohort studies. The results have been published open access in Rheumatology.
The BoneFinder® search model generated as part of this study can be requested here.
BoneFinder® has been used in a study on predicting hip replacements from DXA scans in the UK Biobank cohort. The results of this study will be orally presented in April 2022 at the 2022 British Society of Rheumatology Annual Conference.
The abstract will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study to develop and validate a software system for the fully automatic assessment of radiographic changes associated with foot collapse. The system automatically generated Meary's angle, calcaneal tilt, and cuboid height measurements in agreement with clinical expert measurements. The results have been published open access in Computer Methods and Programs in Biomedicine.
The BoneFinder® team has been awarded nearly £1 million of funding by the Wellcome Trust and the Royal Society for a multidisciplinary research project to improve the management and outcome of knee replacement surgery.
The goal of the project is to develop a software tool to automatically analyse radiographic image information, clinical and patient-reported data of patients undergoing knee replacement surgery, and to develop general guidance and strategies on how to bring such a tool into the clinic.
BoneFinder® has been used in a study on developing a novel semi-automated classifier of radiographic hip osteoarthritis on DXA scans. The results of this study will be orally presented in November 2021 at the 2021 American College of Rheumatology Annual Meeting (ACR) Annual Meeting.
The abstract will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study on examining whether acetabular dysplasia (AD), cam and/or pincer morphology are associated with radiographic hip osteoarthritis (rHOA) and hip pain in UK Biobank. In our results cam morphology was associated with rHOA and hip pain in males. Neither pincer morphology nor AD showed any associations with rHOA or hip pain. The results have been published open access in Osteoarthritis and Cartilage.
BoneFinder® has been used in a study on examining the relationship between radiographic hip osteoarthritis (rHOA) and hip pain using a novel DXA-based method. Our results show that rHOA derived from DXA images is associated with hip pain in UK Biobank and that osteophyte size is strongly associated with hip pain. The results have been published open access in Bone.
BoneFinder® has been used in a study on predicting total hip replacement from DXA-derived hip shape. The results of this study will be presented in October 2021 at the 2021 American Society of Bone and Mineral Research (ASBMR) Annual Meeting.
The abstract will be made available on the BoneFinder® website following the event.
The BoneFinder® team has been awarded an NIHR Artificial Intelligence in Health and Care Award (Phase 1) to develop an automated software system for measuring hip dysplasia in children with cerebral palsy.
The Artificial Intelligence in Health and Care Award is part of the NHS AI Lab, making £140 million available over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan.
BoneFinder® has been used in a study on the association between cam morphology and radiographic hip osteoarthritis as well as in a study on the association between hip pain and radiographic hip osteoarthritis. The results of these studies will be presented in April 2021 at the 2021 Osteoarthritis Research Society International (OARSI) World Congress.
The abstracts will be made available on the BoneFinder® website following the event.
The BoneFinder® team has been awarded a Wellcome Trust iTPA Projects for Translation Award to develop an automated software system for monitoring developmental dysplasia of the hip in children.
Our study on investigating the effects of aging on children's hip shape that was presented at the Bone Research Society Annual Meeting 2020 has been awarded the Best Clinical Poster Prize.
BoneFinder® has been used in an international study on predicting the hip–knee–ankle angle (HKAA) from standard knee radiographs. Our results show that the HKAA can be automatically predicted from standard knee radiographs with fair accuracy and high correlation compared with the true HKAA. The results have been published open access in Acta Orthopaedica.
BoneFinder® has been used in a study on automatically analysing radiographic hip shape from DXA scans as well as in a study on investigating the effects of aging on children's hip shape. The results will be presented at the Bone Research Society Annual Meeting 2020 and be published in the Journal of Bone & Mineral Research.
The abstracts will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in an international study on developing a risk prediction workflow for hip osteoarthritis. The results show that including automatically derived hip shape data significantly improved the prediction. The results have been published open access in Osteoarthritis and Cartilage.
BoneFinder® version v1.3.4 has been released and is now available from www.click2go.umip.com/i/software/Bonefinder.html.
BoneFinder® has been used in a study on estimating the hip-knee-ankle angle from standard knee radiographs. The results of this study will be presented in October 2019 at the 2019 International Cartilage Regeneration & Joint Preservation Society (ICRS) World Congress, Vancouver, Canada.
The abstract will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study on investigating bone shape both as a risk factor for and as a result of hip osteoarthritis. The results of this study will be presented in May 2019 at the 2019 Osteoarthritis Research Society International (OARSI) World Congress, Toronto, Canada.
The abstract will be made available on the BoneFinder® website following the event.
The Cephalometric BoneFinder® module is integrated in AudaxCeph, a cephalometric software analysis suite, allowing the automatic tracing of cephalometric landmarks within seconds.
The following independent testimonial from an orthodontist in Switzerland comments on the usability and benefits of the technology in clinical practice: The fastest tracing in the world?
BoneFinder® has been used:
The results of these studies will be presented in September 2018 at the 6th MICCAI Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MICCAI-MSKI2018), Granada, Spain.
The papers will be made available on the BoneFinder® website following the event.
BoneFinder® version v1.3.0 has been released and is now available from www.click2go.umip.com/i/software/Bonefinder.html.
The US patent for the underlying BoneFinder®-technology, RFRV-CLM, has now been granted.
BoneFinder® is now a registered trademark within the European Union.
The BoneFinder® team has been awarded £236,000 by the Medical Research Council UK to further develop the system for the analysis of the efficacy of knee replacement surgery.
The BoneFinder® team in collaboration with the Universities of Bristol, Southampton, Aberdeen, Queensland and Cardiff University have been awarded £1.6m by the Wellcome Trust to study the role of size, shape and structure of bones and joints in explaining common musculoskeletal diseases, using data from the UK Biobank.
BoneFinder® has been used in a study on analysing the shape and texture of the bones of the hip for fracture discrimination. The results of this study will be presented in September 2017 at the Annual Meeting of the American Society for Bone and Mineral Research (ASBMR 2017), Denver, USA.
The abstract will be made available on the BoneFinder® website following the event.
The BoneFinder® technology has been advanced such that an existing system can be tuned to a new dataset with different properties.
The results of this study will be presented in September 2017 at the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2017), Quebec City, Quebec, Canada.
The paper will be made available on the BoneFinder® website following the event.
BoneFinder® has been used in a study on predicting the onset of hip osteoarthritis. The results of this study will be orally presented in April 2017 at the 2017 Osteoarthritis Research Society International (OARSI) World Congress, Las Vegas, USA.
The abstract will be made available on the BoneFinder® website following the event.
BoneFinder® has been applied to study the shape of the mandibular condyles. The results of this study will be orally presented in November 2016 at the 1st Annual Congress of Association of Oral and Maxillofacial Surgeons of India (AOMSI 2016), Gujarat, India.
A peer-reviewed journal paper on a fully automatic BoneFinder® system to detect cephalometric landmarks and its application to the classification of skeletal malformations has been published in Nature Scientific Reports. The paper is available via open access.
The BoneFinder® team in collaboration with the University of Liverpool have been awarded £278,000 by Arthritis Research UK to further develop the system to help investigate the best surgical treatments for hip diseases in childhood.
BoneFinder® version v1.2.0 has been released and is now available from www.click2go.umip.com/i/software/Bonefinder.html.
Version v1.2.0 comes with exciting new features such as functionality to automatically generate an image list for easy navigation through as set of images as well as functionality to build Statistical Shape Models from within BoneFinder®.
The patent for the underlying BoneFinder®-technology, RFRV-CLM, has now been granted for the United Kingdom, Germany and France.
BoneFinder® has been applied to study radiographic knee shape asymmetry. The results of this study will be presented in June 2016 at the International Workshop on Osteoarthritis Imaging (IWOAI) 2016, Oulu, Finland.
There has also been more work on the underlying BoneFinder® technology and the results on multi-point regression voting will be presented in July 2016 at the International Conference On Medical Imaging Understanding and Analysis (MIUA) 2016, Loughborough, UK.
The abstract/paper will be made available on the BoneFinder® website following the events.
A peer-reviewed journal paper on the cephalometric performance of BoneFinder® has been published in Medical Image Analysis. The paper is available via open access.
The BoneFinder® website now contains additional performance results.
BoneFinder® has been featured in the Medical Research Council Outputs, Outcomes and Impact of MRC Research 2014/15 report (Section 2.3 Development of products and intellectual property).
BoneFinder® has been awarded the first prize in the Grand Challenge on Automatic Detection of Anatomical Landmarks in Cephalometric X-Rays (Workshop at ISBI 2015).
The BoneFinder® team has been awarded £300,000 by the Engineering and Physical Sciences Research Council UK to further develop the system.
If you are interested in BoneFinder® and its capabilities please do not hesitate to get in touch by emailing claudia.lindner@manchester.ac.uk
www.manchester.ac.uk/research/claudia.lindner