{"title":"Correlation of Acetabular Cup Placement Angles Between an Artificial Intelligence-Powered System Using a Smartphone and Human Measurements","authors":"Sachiyuki Tsukada MD, PhD, Hiroyuki Ogawa MD, Masayoshi Saito MD, Naoyuki Hirasawa MD, PhD","doi":"10.1016/j.artd.2024.101439","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>An automated measurement system for the placement angles of acetabular cup in total hip arthroplasty prostheses was developed utilizing artificial intelligence (AI) algorithms. The AI-powered system enables immediate measurement by capturing an anteroposterior pelvic X-ray through a smartphone camera.</p></div><div><h3>Methods</h3><p>While developing the AI-powered measurement system, we trained AI utilizing 100 labeled anteroposterior pelvic X-rays to recognize the hip joint and 483 labeled anteroposterior pelvic X-rays to identify anatomical landmarks and the acetabular cup. To validate the AI-powered system, we measured the acetabular cup placement angles of 126 unlabeled post-total hip arthroplasty anteroposterior pelvic X-rays with both the AI-powered system and conventional measurement methods and assessed the correlation between the 2 methods.</p></div><div><h3>Results</h3><p>The Pearson’s correlation coefficients for the acetabular cup placement angles measured using the AI-powered system and conventional method were 0.88 (95% confidence interval, 0.84-0.92, <em>P</em> < .001) in inclination angle and 0.76 (95% confidence interval, 0.67-0.83, <em>P</em> < .001) in anteversion angle, respectively.</p></div><div><h3>Conclusions</h3><p>Both inclination and anteversion angles measured using the AI-powered system showed a strong correlation with angles obtained through conventional methods.</p></div>","PeriodicalId":37940,"journal":{"name":"Arthroplasty Today","volume":"29 ","pages":"Article 101439"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352344124001249/pdfft?md5=aa9bd2aaa336f35d5d5799a6bab5ab99&pid=1-s2.0-S2352344124001249-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthroplasty Today","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352344124001249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
An automated measurement system for the placement angles of acetabular cup in total hip arthroplasty prostheses was developed utilizing artificial intelligence (AI) algorithms. The AI-powered system enables immediate measurement by capturing an anteroposterior pelvic X-ray through a smartphone camera.
Methods
While developing the AI-powered measurement system, we trained AI utilizing 100 labeled anteroposterior pelvic X-rays to recognize the hip joint and 483 labeled anteroposterior pelvic X-rays to identify anatomical landmarks and the acetabular cup. To validate the AI-powered system, we measured the acetabular cup placement angles of 126 unlabeled post-total hip arthroplasty anteroposterior pelvic X-rays with both the AI-powered system and conventional measurement methods and assessed the correlation between the 2 methods.
Results
The Pearson’s correlation coefficients for the acetabular cup placement angles measured using the AI-powered system and conventional method were 0.88 (95% confidence interval, 0.84-0.92, P < .001) in inclination angle and 0.76 (95% confidence interval, 0.67-0.83, P < .001) in anteversion angle, respectively.
Conclusions
Both inclination and anteversion angles measured using the AI-powered system showed a strong correlation with angles obtained through conventional methods.
背景利用人工智能(AI)算法开发了一套全髋关节置换术假体髋臼杯置入角度自动测量系统。在开发人工智能测量系统的过程中,我们利用 100 张标记的骨盆前方 X 光片识别髋关节,并利用 483 张标记的骨盆前方 X 光片识别解剖地标和髋臼杯,对人工智能进行了训练。为了验证 AI 动力系统,我们使用 AI 动力系统和传统测量方法测量了 126 张未标记的全髋关节置换术后骨盆前方 X 光片的髋臼杯置入角,并评估了这两种方法之间的相关性。结果使用 AI 动力系统和传统方法测量的髋臼杯置入角的皮尔逊相关系数为 0.88 (95% confidence interval, 0.84-0.92, P <.001),内翻角的相关系数为 0.76 (95% confidence interval, 0.67-0.83, P <.001)。
期刊介绍:
Arthroplasty Today is a companion journal to the Journal of Arthroplasty. The journal Arthroplasty Today brings together the clinical and scientific foundations for joint replacement of the hip and knee in an open-access, online format. Arthroplasty Today solicits manuscripts of the highest quality from all areas of scientific endeavor that relate to joint replacement or the treatment of its complications, including those dealing with patient outcomes, economic and policy issues, prosthetic design, biomechanics, biomaterials, and biologic response to arthroplasty. The journal focuses on case reports. It is the purpose of Arthroplasty Today to present material to practicing orthopaedic surgeons that will keep them abreast of developments in the field, prove useful in the care of patients, and aid in understanding the scientific foundation of this subspecialty area of joint replacement. The international members of the Editorial Board provide a worldwide perspective for the journal''s area of interest. Their participation ensures that each issue of Arthroplasty Today provides the reader with timely, peer-reviewed articles of the highest quality.