Evidence map›Paper›PMID 39893328›Full record

ArticleSkeletal radiology2025

Accuracy and precision of in vitro EOS imaging compared to digital radiographs in the measurement of intramedullary lengthening.

Akram Al Ramlawi, Nickolas Nahm, Michael Abdou, Hytham S Salem, John E Herzenberg, Philip McClure

Abstract readComparative Study
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In one paragraph

Article in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Akram Al RamlawiDepartment of Orthopedics, LifeBridge Health, International Center for Limb Lengthening, Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, 2401 West Belvedere Avenue, Baltimore, MD, 21215, USA. akram.ramlawi@gmail.com.ORCID http://orcid.org/0000-0002-9917-2974
Nickolas NahmDepartment of Orthopedics, Gillette Children's Specialty Healthcare, Saint Paul, MN, USA.
Michael AbdouSchool of Medicine, St. George's University, West Indies, Grenada.
Hytham S SalemDepartment of Orthopedics, LifeBridge Health, International Center for Limb Lengthening, Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, 2401 West Belvedere Avenue, Baltimore, MD, 21215, USA.
John E HerzenbergDepartment of Orthopedics, LifeBridge Health, International Center for Limb Lengthening, Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, 2401 West Belvedere Avenue, Baltimore, MD, 21215, USA.
Philip McClureDepartment of Orthopedics, LifeBridge Health, International Center for Limb Lengthening, Sinai Hospital of Baltimore, Rubin Institute for Advanced Orthopedics, 2401 West Belvedere Avenue, Baltimore, MD, 21215, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAccurate limb length measurement is essential during limb lengthening procedures to prevent neurologic and musculoskeletal complications. Magnetic intramedullary lengthening nails (MILN) rely on radiographs for measurement, but the optimal radiographic technique is not established. This study evaluated the precision and accuracy of EOS imaging versus digital radiography, including calibration techniques and measurement techniques for assessing intramedullary lengthening.

methodsAn MILN was inserted into a Sawbones femur, and lengthening measurements from digital X-ray and EOS imaging were compared to external remote control (ERC) results. Measurements were taken with and without calibration using a magnification ball, nail width, or female nail length. Four observers measured the distraction gap, spindle length, full nail length, and male nail length at various hip flexion angles. Precision and accuracy were calculated for each technique.

resultsFrom 576 measurements, EOS imaging demonstrated significantly higher accuracy than digital radiography (83.6% vs. 73.5% absolute accuracy; p < 0.001) when non-calibrated values were included. EOS maintained superior accuracy at 30 mm, 50 mm, and 70 mm of lengthening (p < 0.05), with no difference at 10 mm. Calibration did not affect EOS accuracy, whereas digital radiography was less accurate without calibration (p < 0.001). Distraction gap measurement was the most accurate for both modalities, and 0° hip flexion provided the highest precision. Overall, EOS was more precise (79.4% vs. 71.7% precision rates; p < 0.001).

conclusionEOS imaging is recommended for limb lengthening measurements due to its superior precision and accuracy. For digital radiographs, careful calibration is essential to achieve accurate measurements.

Indexed as

Bone LengtheningBone NailsFemurRadiographic Image EnhancementFemaleHumansIn Vitro TechniquesMaleReproducibility of ResultsAccuracyDigital X-rayEOSFemurIn vitro experimentLeg lengthLeg length discrepancyLimb alignmentLower limbPrecisionReliabilitySawbone

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.