Oscar Denton , Chris Madden-McKee , Nicholas Dunne , John O'Connor , Janet Hill , David Beverland , Alex Lennon
{"title":"基于前后位x线片的新型放射影像茎型预测器","authors":"Oscar Denton , Chris Madden-McKee , Nicholas Dunne , John O'Connor , Janet Hill , David Beverland , Alex Lennon","doi":"10.1016/j.clinbiomech.2025.106465","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Implant orientation has been linked to postoperative outcomes and is frequently assessed on radiographs. However, the projection of the three-dimensional joint and implant structure to a two-dimensional radiograph complicates its assessment. The main objective of this study was to demonstrate a novel method for evaluating radiographic stem version, in a manner robust to multiaxial rotations, particularly AP tilt and flexion.</div></div><div><h3>Methods</h3><div>Radiographic features where synthesised using a computational stem geometry and radiographic simulation, building in clinical error sources. Features trained a Gaussian process regression predictor of radiographic stem version. The impact of AP tilt on the accuracy of the Weber technique was then evaluated and the feasibility of AP tilt assessment from the same radiograph investigated.</div></div><div><h3>Findings</h3><div>Radiographic stem version prediction accuracy was evaluated on <em>in vitro</em> radiographs with R<sup>2</sup> rising from 0.85 (<em>P</em> < 0.01) using the Weber technique to 0.98 (<em>P</em> < 0.01) using the trained model. Similar results were observed in a larger <em>in silico</em> dataset with <em>R</em><sup>2</sup> rising from 0.89 (<em>P</em> < 0.01) to 0.98 (<em>P</em> < 0.01). Tilt was shown to reduce the accuracy of the Weber technique. Projectional symmetry was then demonstrated about the femoral implant with AP tilt, elucidating ambiguity when assessing tilt on an AP radiograph.</div></div><div><h3>Interpretation</h3><div>The novel feature-based method is a reliable measure of radiographic stem version that is robust to variation on multiaxial orientation, allowing assessment of changing rotation in series of postoperative radiographs. However, a controlled radiograph is required to ensure this mirrors implanted stem version.</div></div>","PeriodicalId":50992,"journal":{"name":"Clinical Biomechanics","volume":"123 ","pages":"Article 106465"},"PeriodicalIF":1.4000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Novel radiographic stem version predictor from anterior-posterior radiographs\",\"authors\":\"Oscar Denton , Chris Madden-McKee , Nicholas Dunne , John O'Connor , Janet Hill , David Beverland , Alex Lennon\",\"doi\":\"10.1016/j.clinbiomech.2025.106465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Implant orientation has been linked to postoperative outcomes and is frequently assessed on radiographs. However, the projection of the three-dimensional joint and implant structure to a two-dimensional radiograph complicates its assessment. The main objective of this study was to demonstrate a novel method for evaluating radiographic stem version, in a manner robust to multiaxial rotations, particularly AP tilt and flexion.</div></div><div><h3>Methods</h3><div>Radiographic features where synthesised using a computational stem geometry and radiographic simulation, building in clinical error sources. Features trained a Gaussian process regression predictor of radiographic stem version. The impact of AP tilt on the accuracy of the Weber technique was then evaluated and the feasibility of AP tilt assessment from the same radiograph investigated.</div></div><div><h3>Findings</h3><div>Radiographic stem version prediction accuracy was evaluated on <em>in vitro</em> radiographs with R<sup>2</sup> rising from 0.85 (<em>P</em> < 0.01) using the Weber technique to 0.98 (<em>P</em> < 0.01) using the trained model. Similar results were observed in a larger <em>in silico</em> dataset with <em>R</em><sup>2</sup> rising from 0.89 (<em>P</em> < 0.01) to 0.98 (<em>P</em> < 0.01). Tilt was shown to reduce the accuracy of the Weber technique. Projectional symmetry was then demonstrated about the femoral implant with AP tilt, elucidating ambiguity when assessing tilt on an AP radiograph.</div></div><div><h3>Interpretation</h3><div>The novel feature-based method is a reliable measure of radiographic stem version that is robust to variation on multiaxial orientation, allowing assessment of changing rotation in series of postoperative radiographs. However, a controlled radiograph is required to ensure this mirrors implanted stem version.</div></div>\",\"PeriodicalId\":50992,\"journal\":{\"name\":\"Clinical Biomechanics\",\"volume\":\"123 \",\"pages\":\"Article 106465\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Biomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0268003325000373\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Biomechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268003325000373","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Novel radiographic stem version predictor from anterior-posterior radiographs
Background
Implant orientation has been linked to postoperative outcomes and is frequently assessed on radiographs. However, the projection of the three-dimensional joint and implant structure to a two-dimensional radiograph complicates its assessment. The main objective of this study was to demonstrate a novel method for evaluating radiographic stem version, in a manner robust to multiaxial rotations, particularly AP tilt and flexion.
Methods
Radiographic features where synthesised using a computational stem geometry and radiographic simulation, building in clinical error sources. Features trained a Gaussian process regression predictor of radiographic stem version. The impact of AP tilt on the accuracy of the Weber technique was then evaluated and the feasibility of AP tilt assessment from the same radiograph investigated.
Findings
Radiographic stem version prediction accuracy was evaluated on in vitro radiographs with R2 rising from 0.85 (P < 0.01) using the Weber technique to 0.98 (P < 0.01) using the trained model. Similar results were observed in a larger in silico dataset with R2 rising from 0.89 (P < 0.01) to 0.98 (P < 0.01). Tilt was shown to reduce the accuracy of the Weber technique. Projectional symmetry was then demonstrated about the femoral implant with AP tilt, elucidating ambiguity when assessing tilt on an AP radiograph.
Interpretation
The novel feature-based method is a reliable measure of radiographic stem version that is robust to variation on multiaxial orientation, allowing assessment of changing rotation in series of postoperative radiographs. However, a controlled radiograph is required to ensure this mirrors implanted stem version.
期刊介绍:
Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field.
The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management.
A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly.
Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians.
The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time.
Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.