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Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images

Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor, Dietrich Rebholz-Schuhmann, John Newell
<span title="2019-04-08">2019</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
Our analyses suggest that the models trained for predicting the KOA severity levels achieve comparable results when modeling X-ray images and patient data.  ...  A radiologist reviews knee X-ray images and grades the severity level of the impairments according to the Kellgren and Lawrence grading scheme; a five-point ordinal scale (0-4).  ...  Our primary goal was to explore whether the prediction accuracy of a statistical model based on patient's questionnaire data is comparable to the prediction accuracy based on X-ray image based modeling  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-019-42215-9">doi:10.1038/s41598-019-42215-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30962509">pmid:30962509</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6453934/">pmcid:PMC6453934</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/35iq3cb3lvezxnex44nxxxudby">fatcat:35iq3cb3lvezxnex44nxxxudby</a> </span>
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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data [article]

Aleksei Tiulpin, Stefan Klein, Sita M.A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H.G. Oei, Simo Saarakkala
<span title="2019-05-06">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Here, we present a multi-modal machine learning-based OA progression prediction model that utilizes raw radiographic data, clinical examination results and previous medical history of the patient.  ...  We validated this approach on an independent test set of 3,918 knee images from 2,129 subjects.  ...  This manuscript was prepared using MOST data and does not necessarily reflect the opinions or views of MOST investigators.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1904.06236v2">arXiv:1904.06236v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3baftmekkzehpc7x634olqg4xa">fatcat:3baftmekkzehpc7x634olqg4xa</a> </span>
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A systematic approach to predicting the risk of unicompartmental knee arthroplasty revision

G. Zhang, B.P. Smith, J.F. Plate, R. Casanova, F.-C. Hsu, J. Li, L. Xia, K.C. Li, G.G. Poehling, X. Zhou
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p3oovqarrrbnrkrbq4ko2rnfpy" style="color: black;">Osteoarthritis and Cartilage</a> </i> &nbsp;
As a result, the mean prediction accuracy is 93.58% for all these cases, demonstrating the high value of this model as a decision-making assistant for surgical plaining of knee osteoarthritis.  ...  Therefore, the risk of UKA revision can be predicted by this integrated model. Results-Leave-one-out cross-validation is implemented to assess the prediction accuracy.  ...  The funding agency had no role in study design; data collection, analysis or interpretation; manuscript writing; or the decision to submit the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2016.01.004">doi:10.1016/j.joca.2016.01.004</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26774734">pmid:26774734</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5087601/">pmcid:PMC5087601</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ljmblr7wbjaehjdmvkkarcqxda">fatcat:ljmblr7wbjaehjdmvkkarcqxda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209052310/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5087601&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e5/36/e536bdbdc7758e2fbdbabf178eb8459af85a54a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2016.01.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087601" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
<span title="2019-12-27">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
Here, we present a multi-modal machine learning-based OA progression prediction model that utilises raw radiographic data, clinical examination results and previous medical history of the patient.  ...  We validated this approach on an independent test set of 3,918 knee images from 2,129 subjects.  ...  The Dockerfile, source codes, pre-trained models and other relevant data are publicly available at https://github.com/MIPT-Oulu/OAProgression.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-019-56527-3">doi:10.1038/s41598-019-56527-3</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31882803">pmid:31882803</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6934728/">pmcid:PMC6934728</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fs64xilodza6tkaywhq3qpzl4q">fatcat:fs64xilodza6tkaywhq3qpzl4q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191228014305/https://www.nature.com/articles/s41598-019-56527-3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/8d/428d7d17a739938cc59c9ca146b71d58ca92f618.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-019-56527-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934728" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Pauline Shan Qing Yeoh, Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee Kai Tee, Samiappan Dhanalakshmi, Bai Yuan Ding
<span title="2021-11-10">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
We highlighted the potential and possibility of 3D CNN in the knee osteoarthritis field.  ...  In this review, we provide a broad overview on the current 2D and 3D CNN approaches in the OA research field.  ...  Acknowledgments e authors would like to acknowledge the funding support of Ministry of Higher Education Malaysia and Universiti Malaya under FRGS project (FRGS/1/2018/TK04/UM/02/9) and UTAR Research Fund  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/4931437">doi:10.1155/2021/4931437</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34804143">pmid:34804143</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8598325/">pmcid:PMC8598325</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ctxoil3765cklnvwksyflrepe4">fatcat:ctxoil3765cklnvwksyflrepe4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204204708/https://downloads.hindawi.com/journals/cin/2021/4931437.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/bc/2ebc68973310218134ca61c7598badf3c8be686a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/4931437"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598325" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Assessing hip osteoarthritis severity utilizing a probabilistic neural network based classification scheme

I. Boniatis, L. Costaridou, D. Cavouras, I. Kalatzis, E. Panagiotopoulos, G. Panayiotakis
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ns6n67hhmzelrk7l7sjptm7kz4" style="color: black;">Medical Engineering and Physics</a> </i> &nbsp;
Five run-length, 75 Laws' and 5 novel textural features were extracted from the digitized radiographic images of each patient's osteoarthritic and contralateral normal hip joint spaces (HJSs).  ...  Measured OA severity values, as expressed by HJS-narrowing, correlated highly (r = 0.85, p < 0.001) with the predicted values by the mathematical regression model.  ...  The authors thank the staff of the Departments of Orthopaedics and Radiology for their contribution to this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.medengphy.2006.03.003">doi:10.1016/j.medengphy.2006.03.003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16624611">pmid:16624611</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppsrftoifrainhkweryxnr6vt4">fatcat:ppsrftoifrainhkweryxnr6vt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809134958/http://www.bme.teiath.gr/medisp/pdfs/BONIATIS_2006_MEDENGPHYS_X_OSTEOAR8R_PNN.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/d5/71d52162c9a4f0f9aed7254fc4eff7e7315f1ac2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.medengphy.2006.03.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Deep Learning for Orthopedic Disease Based on Medical Image Analysis: Present and Future

JiHwan Lee, Seok Won Chung
<span title="2022-01-11">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
This paper provides orthopedic surgeons with an overall understanding of artificial intelligence-based image analysis and the information that medical data should be treated with low prejudice, providing  ...  However, most published papers have focused on disease detection or classification, leaving some unsatisfactory reports in areas such as segmentation and prediction.  ...  Therefore, several attempts have been made to diagnose and classify osteoarthritis using deep learning algorithms. Xue et al. trained a CNN model based on VGG-16 with 420 plain hip X-rays [27] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12020681">doi:10.3390/app12020681</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7vgiz2wegzfz3efvcqfbdapo2a">fatcat:7vgiz2wegzfz3efvcqfbdapo2a</a> </span>
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Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks

Mohamed Yacin Sikkandar, S. Sabarunisha Begum, Abdulaziz A. Alkathiry, Mashhor Shlwan N. Alotaibi, Md Dilsad Manzar
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
Identifying this space between bones through the anterior view of a knee X-ray image is solely subjective and challenging.  ...  Knee Osteoarthritis (KOA) is a degenerative knee joint disease caused by 'wear and tear' of ligaments between the femur and tibial bones.  ...  The diagnosis of OA is usually based on a clinical (physical) examination, the patient's medical history, and changes seen on plain X-rays.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.020571">doi:10.32604/cmc.2022.020571</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7k76z444vgbnksjnjlguv3ojq">fatcat:e7k76z444vgbnksjnjlguv3ojq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220303081157/https://www.techscience.com/ueditor/files/cmc/TSP_CMC-70-3/TSP_CMC_20571/TSP_CMC_20571.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/60/fe60ce2d0f1f4c126e127411391e9249d3eebbdd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.020571"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Machine Learning in Knee Osteoarthritis: A Review

C. Kokkotis, S. Moustakidis, E. Papageorgiou, G. Giakas, D.E. Tsaopoulos
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pwyxcghj2raa5iwyy575rfpwd4" style="color: black;">Osteoarthritis and Cartilage Open</a> </i> &nbsp;
models 166 for KOA based on medical imaging (Magnetic Resonance Imaging (MRI), X-ray), clinical 167 information, self-reported and biomechanical data. 168 Data sources: Imaging technologies (either MRI  ...  or X-ray) were incorporated into the majority 169 of advanced analytical models to predict knee articular cartilage morphology with accuracies 170 varying from 76.1% up to 92% ([65], [66], [67], [68],  ...  J Orthop Res, 2017. 35(10): p. 2243-2250. 553 based on patient's data and plain X-ray images. Scientific reports, 2019. 9(1): p.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ocarto.2020.100069">doi:10.1016/j.ocarto.2020.100069</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gozdl73zu5hfhal37i3oi5wxri">fatcat:gozdl73zu5hfhal37i3oi5wxri</a> </span>
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Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space

Ioannis Boniatis, Dionisis Cavouras, Lena Costaridou, Ioannis Kalatzis, Elias Panagiotopoulos, George Panayiotakis
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wdwg5aetkjbgpga7kn2jevifmi" style="color: black;">Computers in Biology and Medicine</a> </i> &nbsp;
A computer-based system was designed for the grading and quantification of hip osteoarthritis (OA) severity.  ...  Shape features, generated from the HJS-images, and a hierarchical decision tree structure was used for the grading of OA. A shape features based regression model quantified the OA-severity.  ...  The authors thank the staff of the Departments of Orthopaedics and Radiology for their contribution to this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compbiomed.2007.05.005">doi:10.1016/j.compbiomed.2007.05.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/17624323">pmid:17624323</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mwbs6mza6nfexl6utp5p3ncvzm">fatcat:mwbs6mza6nfexl6utp5p3ncvzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809134952/http://www.bme.teiath.gr/medisp/pdfs/BONIATIS_2007_CBM_Computer_Aided_Grading.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/80/94807e78b825f226d51ff6b99b07615fa87ee8e8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compbiomed.2007.05.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Multicentre Study Using Machine Learning Methods in Clinical Diagnosis of Knee Osteoarthritis

Ke Zeng, Yingqi Hua, Jing Xu, Tao Zhang, Zhuoying Wang, Yafei Jiang, Jing Han, Mengkai Yang, Jiakang Shen, Zhengdong Cai, Gu Xiaoqing
<span title="2021-12-03">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cswd2rqrire6lgrsm56kv4adue" style="color: black;">Journal of Healthcare Engineering</a> </i> &nbsp;
In this study, we retrospectively compared five commonly used machine learning methods, especially the CNN network, to predict the real-world X-ray imaging data of knee joints from two different hospitals  ...  Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders.  ...  So, in this study, we retrospectively compared five commonly used machine learning methods (SVM, KNN, NB, RBF, and CNN) to predict the real-world X-ray imaging data of 407 knee joints from two different  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/1765404">doi:10.1155/2021/1765404</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34900177">pmid:34900177</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8664510/">pmcid:PMC8664510</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cyvyc7v4erckddclrf7q7r4k4i">fatcat:cyvyc7v4erckddclrf7q7r4k4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211205225905/https://downloads.hindawi.com/journals/jhe/2021/1765404.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/f0/20f055b4fa120e8f63cbce481ddf6bb45da967bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/1765404"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664510" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Automatic Knee Osteoarthritis Diagnosis Method Based on Deep Learning: Data from the Osteoarthritis Initiative

Yifan Wang, Xianan Wang, Tianning Gao, Le Du, Wei Liu
<span title="2021-09-27">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cswd2rqrire6lgrsm56kv4adue" style="color: black;">Journal of Healthcare Engineering</a> </i> &nbsp;
According to the evidence presented on both sides of the knee bones, radiologists assess the severity of OA based on the Kellgren-Lawrence (KL) grading system.  ...  Our approach correctly segments 95.57% of data at the expense of training on 200 annotated images on a large dataset that contains more than 4500 samples.  ...  the Department of Health and Human Services and conducted by the OAI Study Investigators.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/5586529">doi:10.1155/2021/5586529</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34616534">pmid:34616534</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8490030/">pmcid:PMC8490030</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mwyh3syl3fhbzofd4ktpto2cy4">fatcat:mwyh3syl3fhbzofd4ktpto2cy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211008171738/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8490030&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/62/f4621d6a02ff052771fc5e88f9886bae9ca05f26.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/5586529"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490030" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

OARSI–OMERACT definition of relevant radiological progression in hip/knee osteoarthritis

P. Ornetti, K. Brandt, M.-P. Hellio-Le Graverand, M. Hochberg, D.J. Hunter, M. Kloppenburg, N. Lane, J.-F. Maillefert, S.A. Mazzuca, T. Spector, G. Utard-Wlerick, E. Vignon (+1 others)
<span title="2009-02-09">2009</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p3oovqarrrbnrkrbq4ko2rnfpy" style="color: black;">Osteoarthritis and Cartilage</a> </i> &nbsp;
Based on the data extracted in the literature, the expert committee proposed a definition of relevant change in JSW based on plain X-rays, on an absolute change of JSW in millimeters and on the measurement  ...  Joint space width (JSW) evaluated in millimeters on plain X-rays is the currently optimal recognized technique to evaluate osteoarthritis (OA) structural progression.  ...  on plain X-rays would be considered relevant in patients with hip and knee OA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2009.01.007">doi:10.1016/j.joca.2009.01.007</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19230857">pmid:19230857</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6869332/">pmcid:PMC6869332</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ox5krjsimncofnuyg5mpiditfa">fatcat:ox5krjsimncofnuyg5mpiditfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190414154816/https://core.ac.uk/download/pdf/81210978.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d5/79/d5790c8d0badba250a7e10d0d7c2ba5e3bfab15f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2009.01.007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6869332" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

The canonical Wnt pathway is predominantly activated in bone in osteoarthritis

T. Funck-Brentano, W. Bouaziz, V. Geoffroy, D. Hannouche, C. Marty, E. Hay, M.E. Cohen-Solal
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p3oovqarrrbnrkrbq4ko2rnfpy" style="color: black;">Osteoarthritis and Cartilage</a> </i> &nbsp;
Conclusions: These data suggest that knowledge of only a patient's age, gender, KOOS QoL score and KL grade of severity of radiographic knee OA can predict with high accuracy the odds of undergoing a TKA  ...  The best models were selected for each knee based on Chi-square values and area under the receiver operating characteristic curve (AUC).  ...  Conclusions: These data suggest that knowledge of only a patient's age, gender, KOOS QoL score and KL grade of severity of radiographic knee OA can predict with high accuracy the odds of undergoing a TKA  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2013.02.045">doi:10.1016/j.joca.2013.02.045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dpibegm3lzdezhrnjkbb7535y4">fatcat:dpibegm3lzdezhrnjkbb7535y4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190414173833/https://core.ac.uk/download/pdf/82374190.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bd/89/bd8978c79d967f7b5f87ad274820974fbbbabfb8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.joca.2013.02.045"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala
<span title="2018-01-29">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
We trained our method using the data solely from the Multicenter Osteoarthritis Study and validated it on randomly selected 3,000 subjects (5,960 knees) from Osteoarthritis Initiative dataset.  ...  The current gold standard for diagnosing OA, besides the always required routine clinical examination of the symptomatic joint, is X-ray imaging (plain radiography), which is safe, cost-efficient and widely  ...  This manuscript was prepared using MOST data and does not necessarily reflect the opinions or views of MOST investigators.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-018-20132-7">doi:10.1038/s41598-018-20132-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29379060">pmid:29379060</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5789045/">pmcid:PMC5789045</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ab4uzpg7nvajfmtyubksbadvje">fatcat:ab4uzpg7nvajfmtyubksbadvje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721174811/http://jultika.oulu.fi/files/nbnfi-fe201804096419.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b1/29/b129b047209be1e45bac9678dea1721b07c45a2f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-018-20132-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789045" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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