Impact of MRI integration in CT-based planning on the accuracy of patient-specific 3D-printed shelf implant placement

a comparative cadaveric study

Journal Article (2026)
Author(s)

Milou F.T. Hüsken (Diakonessenhuis, University Medical Centre Utrecht)

Joëll Magré ( University Medical Centre Utrecht, Diakonessenhuis)

Koen Willemsen ( University Medical Centre Utrecht)

Harrie Weinans (TU Delft - Mechanical Engineering, University Medical Centre Utrecht)

Mahdi Bazargan (University of Birjand, University Medical Centre Utrecht)

Vahid Arbabi (Replasia BV, University Medical Centre Utrecht)

Alexander Meynen (Replasia BV)

Bart C.H. vander Wal (Leiden University Medical Center, University Medical Centre Utrecht)

More Authors (External organisation)

Research Group
Biomaterials & Tissue Biomechanics
DOI related publication
https://doi.org/10.1016/j.stlm.2026.100237 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Biomaterials & Tissue Biomechanics
Journal title
Annals of 3D Printed Medicine
Volume number
23
Article number
100237
Downloads counter
21
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Abstract

Introduction: Hip dysplasia, characterized by an insufficient acetabular coverage of the femoral head, increases hip joint stress and predisposes to degenerative changes. A novel 3D-printed, patient-specific extracapsular shelf implant was developed to increase femoral head coverage. Accurate implant placement is crucial. This cadaveric study compared CT-only surgical planning with combined CT- and MRI-based planning to evaluate whether MRI integration improves positioning accuracy. Methods: Two cohorts of non‑dysplastic cadaveric hips were studied. In cohort 1 (five hips), implant design was based solely on CT imaging. In cohort 2 (four hips), both CT and MRI datasets were used, incorporating capsular soft‑tissue anatomy. Postoperative implant positioning was compared with preoperative plans using point-cloud analyses, clockface coverage graphs, and Dice coefficients. Acceptable placement was defined as: median Euclidean distance < 5 mm, median angular deviation < 5°, and Dice > 0.75 respectively. Results: In the CT‑only cohort, three of five implants failed one or more accuracy thresholds, with Euclidean distances up to 8.5 mm, coverage deviations up to 6°, and Dice coefficients as low as 0.37. CT‑only designed implants consistently tilted away from the acetabular rim, reflecting underestimation of hip capsule thickness and insertion height. In the CT+MRI cohort, all four implants met the <5 mm and <5° deviation thresholds, and three achieved Dice ≥0.75. No consistent deviation patterns were observed. Conclusion: Combined CT and MRI planning improved implant positioning accuracy by better accounting for variations in hip capsule morphology. MRI integration demonstrated superior performance over CT‑only planning for patient‑specific shelf implant placement.