{ "id": "epg2tvwhyq", "slug": "radiostereometric-analysis", "title": "Radiostereometric analysis", "updated": "2026-10-15", "topic_path": [ { "id": "life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/topics/life" }, { "id": "life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health" }, { "id": "life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical" }, { "id": "life.health.clinical.clinical-imaging", "label": "Medical imaging and radiography", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-imaging" }, { "id": "life.health.clinical.clinical-imaging.radiography-and-projection-imaging", "label": "Radiography and projection imaging", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-imaging.radiography-and-projection-imaging" } ], "geo": [ { "id": "geo.nongeo.t1946.life.health.clinical.clinical-imaging", "label": "Non-geographic · 1946 to 2000: Medical imaging and radiography", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical.clinical-imaging", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t1946", "label": "Non-geographic · 1946 to 2000", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946" }, { "id": "geo.nongeo.t1946.life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life" }, { "id": "geo.nongeo.t1946.life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health" }, { "id": "geo.nongeo.t1946.life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical" }, { "id": "geo.nongeo.t1946.life.health.clinical.clinical-imaging", "label": "Medical imaging and radiography", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.life.health.clinical.clinical-imaging" } ] } ], "excerpt": "Radiostereometric analysis (RSA) is a radiographic technique measuring three-dimensional micromotion of joint implants and bone segments in living patients, using paired simultaneous X-ray exposures and implanted tantalum markers.", "snippet": "Radiostereometric analysis (RSA) is a radiographic technique measuring three-dimensional micromotion of joint implants and bone segments in living patients, using paired simultaneous X-ray exposures and implanted tantalum markers.", "node": "life.health.clinical.clinical-imaging.radiography-and-projection-imaging", "markdown": "# Radiostereometric analysis\n\nRadiostereometric analysis (RSA) is a radiographic technique that measures three-dimensional micromotion of joint implants and bone segments in living patients, using paired simultaneous X-ray exposures and small implanted markers. It detects migration of joint replacements with sub-millimeter and sub-degree accuracy, and it distinguishes migration, the displacement of an implant over time, from inducible displacement, the instantaneous displacement produced by an external load such as weightbearing.[1](https://doi.org/10.2340/17453674.2024.40709)\n\n| Key fact | Detail |\n|---|---|\n| What it measures | 3D migration of implants and bone segments with sub-millimeter, sub-degree accuracy[1](https://doi.org/10.2340/17453674.2024.40709) |\n| Precision | In vivo about 0.25 mm (translations) and 0.5° (rotations); in vitro 0.05 mm and 0.1°[2](https://doi.org/10.1016/j.jbiomech.2007.07.002) |\n| Markers | Spherical tantalum beads of 0.5, 0.8, or 1 mm diameter; at least 3 non-collinear per rigid body, 5–8 per bone advised[1](https://doi.org/10.2340/17453674.2024.40709) |\n| Main migration metric | MTPM, the length of the translation vector of the prosthesis point that has moved most[1](https://doi.org/10.2340/17453674.2024.40709) |\n| Knee thresholds (6-month MTPM) | Cemented TKR acceptable below 0.30 mm, unacceptable above 1.10 mm; uncemented acceptable below 1.10 mm, unacceptable above 1.55 mm[3](https://actaorthop.org/actao/article/view/42574) |\n| Radiation dose (hip) | About 0.05–0.15 mSv for conventional radiographic RSA[4](https://doi.org/10.2340/17453674.2023.15337) |\n| Trial efficiency | 2-year migration measurement serves as a surrogate outcome with roughly 15–25 patients per group in randomized studies[5](https://doi.org/10.1080/17453670510041574) |\n\n## How it works\n\nRSA applies [stereophotogrammetry](https://www.edgepedia.org/stereophotogrammetry) to radiographs: two X-ray exposures of the same object taken simultaneously from different directions allow three-dimensional coordinates to be reconstructed from their two-dimensional projections. Small spherical tantalum markers inserted into bone, or attached to the implant, serve as well-defined reference points.[1](https://doi.org/10.2340/17453674.2024.40709) The patient is radiographed over a specialized calibration cage, and the projected positions of the cage's fiducial markers and control points establish the exposure geometry, that is, the relationship between the X-ray foci, the cage, and the detectors.[6](https://people.cs.umu.se/niclas/rsa/intro.html) The cage also defines the position and orientation of the global coordinate system.[5](https://doi.org/10.1080/17453670510041574)\n\nFrom the measured marker projections, the three-dimensional coordinates of each object point are estimated by a least-squares space intersection of the two radiographic systems.[7](https://digitalcommons.kettering.edu/cgi/viewcontent.cgi?article=1065&context=mech_eng_facultypubs) Markers are grouped into rigid bodies, and the motion between examinations is expressed as translations and rotations of one rigid body relative to another.[5](https://doi.org/10.1080/17453670510041574)\n\n## How it is done\n\n**Marker implantation.** Spherical tantalum markers of typically 0.5, 0.8, or 1 mm diameter are inserted into the bones under study, and sometimes attached to the implant. At least 3 non-collinear markers are required per rigid body; the 2024 guideline advises 5–8 markers per bone, whereas the 2005 guidelines advised about 6–9 well-scattered markers because markers can be obscured by metal objects and redundancy improves precision.[1](https://doi.org/10.2340/17453674.2024.40709) • [5](https://doi.org/10.1080/17453670510041574)\n\n**Radiographic setup.** Two X-ray tubes, fixed or mobile, expose the patient and the calibration cage simultaneously.[8](https://rsabiomedical.com/umrsa/method.php) For hips and shoulders, a uniplanar setup with two X-ray tubes angled approximately 40° to each other and detectors side by side in the same plane is most common; knees and most extremity joints use uniplanar or biplanar setups, the biplanar arrangement placing the recording media at 90° to each other.[1](https://doi.org/10.2340/17453674.2024.40709) • [5](https://doi.org/10.1080/17453670510041574)\n\n**Analysis and quality control.** Software automatically identifies the markers and calculates their 3D positions.[8](https://rsabiomedical.com/umrsa/method.php) Two quality measures govern acceptance: the mean error of rigid-body fitting, with a recommended upper limit of 0.35 mm, and the condition number, for which the 2024 guideline recommends an upper limit of 120 mm⁻¹ in hip, knee, and shoulder arthroplasty studies; the 2005 guidelines had suggested an upper limit of 150 and considered values below 100–110 very reliable.[1](https://doi.org/10.2340/17453674.2024.40709) • [5](https://doi.org/10.1080/17453670510041574) Precision is assessed with double examinations, two same-day examinations with repositioning, made 10–15 minutes apart in the 2005 protocol; at least 25% of study patients should have double examinations, and the same practice is recommended for CT-RSA.[5](https://doi.org/10.1080/17453670510041574) • [1](https://doi.org/10.2340/17453674.2024.40709)\n\n## Origin\n\nGuidelines for standardization of radiostereometry (RSA) of implants were published by Valstar and colleagues in 2005 in Acta Orthopaedica.[5](https://doi.org/10.1080/17453670510041574) Model-based RSA based on contour matching of an implant surface model was presented by Valstar and colleagues in 2001 in the Journal of Biomechanics,[9](https://doi.org/10.1016/s0021-9290%2801%2900028-8) image-based RSA by de Bruin and colleagues in 2007 in the Journal of Biomechanics,[2](https://doi.org/10.1016/j.jbiomech.2007.07.002) practical CT-RSA guidelines by Sandberg and colleagues in 2023 in Acta Orthopaedica,[4](https://doi.org/10.2340/17453674.2023.15337) and a combined RSA and CT-RSA guideline update by Kaptein and colleagues in 2024 in Acta Orthopaedica.[1](https://doi.org/10.2340/17453674.2024.40709) An ISO standard on RSA of implants followed in 2013.[5](https://doi.org/10.1080/17453670510041574) • [1](https://doi.org/10.2340/17453674.2024.40709)\n\n## Variants\n\n**Marker-based RSA** uses markers only and remains the reference approach. **Model-based RSA** avoids attaching markers to prostheses by matching a calculated projected contour of a triangulated surface model of the implant onto the detected contour of the actual implant in the radiograph.[9](https://doi.org/10.1016/s0021-9290%2801%2900028-8) Later validation papers date a marker-free method that tracks CT-modeled knee bones, rather than prostheses, using static and dynamic RSA.[10](https://boneandjoint.org.uk/Article/10.1302/2046-3758.66.BJR-2016-0113.R3)\n\n**Image-based RSA (IBRSA)** replaces radiopaque bone markers with a 3D CT volume from which digitally reconstructed radiographs (DRRs) are generated and iteratively registered to the 2D RSA images.[2](https://doi.org/10.1016/j.jbiomech.2007.07.002) In phantom validation its accuracy was below 0.083 mm for translations and below 0.023° for rotations.[2](https://doi.org/10.1016/j.jbiomech.2007.07.002) A DRR-based approach with automated software (AutoRSA) compares simulated DRR images with RSA radiographs, enabling marker-free evaluation of native hip kinematics and eliminating interactive analysis.[11](https://boneandjoint.org.uk/Article/10.1302/2046-3758.76.BJR-2017-0268.R1)\n\n**Dynamic RSA** records movement over time; in cadaver knee studies, CT-derived bone models combined with dynamic stereoradiographs at 10 frames per second enabled non-invasive measurement of knee kinematics, with static results differing from the marker method by within −0.10° to 0.08° for rotations and −0.06 to 0.007 mm for translations.[10](https://boneandjoint.org.uk/Article/10.1302/2046-3758.66.BJR-2016-0113.R3) **CT-RSA** measures migration from CT image processing without markers, calibration cages, or implant modification, requiring at least two subsequent CT volumes; its precision is now described as comparable to conventional planar RSA.[4](https://doi.org/10.2340/17453674.2023.15337)\n\n## Applications\n\nRSA's clinical value rests on early migration predicting late loosening. Ryd and colleagues reported a predictive power of 85% for identifying \"at risk\" total knee prostheses 1–2 years after operation,[12](https://doi.org/10.1302/0301-620x.77b3.7744919) and Kärrholm and colleagues found that the probability of femoral stem revision was more than 50% when femoral head subsidence exceeded 1.2 mm at 2 years. For knee replacements, the 2012 migration thresholds were validated with a misclassification rate of 0.5% at 5 years and 0.3% at 10 years across 504 study-group combinations and 186,974 TKRs, and new fixation-specific 6-month MTPM thresholds were proposed: cemented TKR acceptable below 0.30 mm and unacceptable above 1.10 mm; uncemented TKR acceptable below 1.10 mm and unacceptable above 1.55 mm.[3](https://actaorthop.org/actao/article/view/42574) Because 2-year migration measurement provides a surrogate outcome, randomized studies need only about 15–25 patients per group.[5](https://doi.org/10.1080/17453670510041574) Applications center on migration of hip and knee replacements, with the operative insertion of bone markers limiting use outside arthroplasty.[2](https://doi.org/10.1016/j.jbiomech.2007.07.002)\n\n## Limitations and alternatives\n\n**Invasiveness.** Bone markers must be inserted operatively, which effectively limits conventional RSA outside arthroplasty and prosthesis migration, for example in navigation or ligament studies in volunteers.[2](https://doi.org/10.1016/j.jbiomech.2007.07.002) Markers can also be obscured by metal objects, which is why redundant markers are advised.[5](https://doi.org/10.1080/17453670510041574)\n\n**Radiation.** RSA studies usually fall in EU Category I, an effective dose below 0.1 mSv for adults, considered a trivial risk.[1](https://doi.org/10.2340/17453674.2024.40709) Hip RSA doses of about 0.05–0.15 mSv compare with 0.2–0.7 mSv for CT-RSA and 3–5 mSv for normal-dose hip CT.[4](https://doi.org/10.2340/17453674.2023.15337) RSA radiographs use non-conventional projections and cannot usually be used for diagnostic purposes.[5](https://doi.org/10.1080/17453670510041574)\n\n**Alternatives.** CT-RSA needs neither markers nor a calibration box and has reported precision comparable to conventional planar RSA, but its main limitation is the higher radiation dose; slice thickness is the single most important CT parameter, with precision falling rapidly above 1 mm compared with about 0.6 mm. Purely plastic implants are too radiolucent for CT-RSA without metal indicators, highly symmetrical implants hinder rotational measurement, and CT-RSA currently lacks quantifiable quality-control measures comparable to the mean error and condition number.[4](https://doi.org/10.2340/17453674.2023.15337) Recent developments include AI-based measurement of prosthesis migration from CT and standard radiographs, with the caveat that AI-based conclusions should be explainable to doctors and patients, and the 2024 guideline update covering both RSA and CT-RSA.[1](https://doi.org/10.2340/17453674.2024.40709)\n\n## References\n\n1. [Bart L Kaptein and colleagues (2024). Guideline for RSA and CT-RSA implant migration measurements: an update of standardizations and recommendations. Acta Orthopaedica.](https://doi.org/10.2340/17453674.2024.40709)\n2. [P.W. de Bruin and colleagues (2007). Image-based RSA: Roentgen stereophotogrammetric analysis based on 2D–3D image registration. Journal of Biomechanics.](https://doi.org/10.1016/j.jbiomech.2007.07.002)\n3. [Evaluation and refinement of thresholds for early migration of total knee replacements as an estimator of late aseptic loosening: an updated systematic review of RSA and survival studies (Acta Orthopaedica)](https://actaorthop.org/actao/article/view/42574)\n4. [Olof H Sandberg and colleagues (2023). Computed tomography-based radiostereometric analysis in orthopedic research: practical guidelines. Acta Orthopaedica.](https://doi.org/10.2340/17453674.2023.15337)\n5. [Edward R Valstar and colleagues (2005). Guidelines for standardization of radiostereometry (RSA) of implants. Acta Orthopaedica.](https://doi.org/10.1080/17453670510041574)\n6. [RSA Introduction (Umeå University)](https://people.cs.umu.se/niclas/rsa/intro.html)\n7. [An algorithm for Roentgen stereophotogrammetry using linear orthogonal distance regression](https://digitalcommons.kettering.edu/cgi/viewcontent.cgi?article=1065&context=mech_eng_facultypubs)\n8. [The RSA Method (RSA Biomedical)](https://rsabiomedical.com/umrsa/method.php)\n9. [Model-based Roentgen stereophotogrammetry of orthopaedic implants (Journal of Biomechanics, 2001)](https://doi.org/10.1016/s0021-9290%2801%2900028-8)\n10. [Validation of static and dynamic radiostereometric analysis of the knee joint using bone models from CT data (Bone & Joint Research)](https://boneandjoint.org.uk/Article/10.1302/2046-3758.66.BJR-2016-0113.R3)\n11. [Marker free model-based radiostereometric analysis for evaluation of hip joint kinematics (Bone & Joint Research)](https://boneandjoint.org.uk/Article/10.1302/2046-3758.76.BJR-2017-0268.R1)\n12. [L Ryd and colleagues (1995). Roentgen stereophotogrammetric analysis as a predictor of mechanical loosening of knee prostheses. Journal of Bone and Joint Surgery - British Volume.](https://doi.org/10.1302/0301-620x.77b3.7744919)\n\n---\n*Topic: Encyclopedia › Life and health › Human health and medicine › Clinical assessment and procedures › Medical imaging and radiography › Radiography and projection imaging*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n", "same_as": [], "url": "https://www.edgepedia.org/radiostereometric-analysis", "markdown_url": "https://www.edgepedia.org/radiostereometric-analysis.md", "license": { "name": "Edgepedia Community License 1.0", "url": "https://www.edgepedia.org/edgepedia/license", "summary": "Free with credit, commercial use included. AI training is open to everyone. 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Edgepedia Community License 1.0.", "speakable": "Radiostereometric analysis is a radiographic technique measuring three-dimensional micromotion of joint implants and bone segments in living patients, using paired simultaneous X-ray exposures and implanted tantalum markers." }